lectures/13_feature-engineering-selection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "![](img/330-banner.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Lecture 13: Feature engineering and feature selection \n",
    "\n",
    "UBC 2021-22\n",
    "\n",
    "Instructor: Giulia Toti "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import numpy.random as npr\n",
    "import pandas as pd\n",
    "from sklearn.compose import (\n",
    "    ColumnTransformer,\n",
    "    TransformedTargetRegressor,\n",
    "    make_column_transformer,\n",
    ")\n",
    "from sklearn.dummy import DummyRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.linear_model import LinearRegression, LogisticRegression, Ridge, RidgeCV\n",
    "from sklearn.metrics import make_scorer, mean_squared_error, r2_score\n",
    "from sklearn.model_selection import cross_val_score, cross_validate, train_test_split\n",
    "from sklearn.pipeline import Pipeline, make_pipeline\n",
    "from sklearn.preprocessing import OneHotEncoder, OrdinalEncoder, StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeRegressor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Learning outcomes \n",
    "\n",
    "From this lecture, students are expected to be able to:\n",
    "\n",
    "- Explain what feature engineering is and the importance of feature engineering in building machine learning models.  \n",
    "- Carry out preliminary feature engineering on text data. \n",
    "- Explain the general concept of feature selection. \n",
    "- Discuss and compare different feature selection methods at a high level. \n",
    "- Use `sklearn`'s implementation of recursive feature elimination (`RFE`) and forward and backward selection (`SequentialFeatureSelector`). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Feature engineering: Motivation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### What is feature engineering?  \n",
    "\n",
    "- Better features: more flexibility, higher score, we can get by with simple and more interpretable models. \n",
    "- If your features, i.e., representation is bad, whatever fancier model you build is not going to help.\n",
    "\n",
    "<blockquote>\n",
    "<b>Feature engineering</b> is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data.<br> \n",
    "- Jason Brownlee    \n",
    "</blockquote>    \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Some quotes on feature engineering \n",
    "\n",
    "A quote by Pedro Domingos [A Few Useful Things to Know About Machine Learning](https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf)\n",
    "\n",
    "<blockquote>\n",
    "... At the end of the day, some machine learning projects succeed and some fail. What makes the difference? Easily the most important factor is the features used. \n",
    "</blockquote>\n",
    "\n",
    "\n",
    "A quote by Andrew Ng, [Machine Learning and AI via Brain simulations](https://ai.stanford.edu/~ang/slides/DeepLearning-Mar2013.pptx)\n",
    "\n",
    "<blockquote>\n",
    "Coming up with features is difficult, time-consuming, requires expert knowledge. \"Applied machine learning\" is basically feature engineering.\n",
    "</blockquote>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Better features usually help more than a better model.\n",
    "- Good features would ideally:\n",
    "    - capture most important aspects of the problem\n",
    "    - allow learning with few examples \n",
    "    - generalize to new scenarios.\n",
    "\n",
    "- There is a trade-off between simple and expressive features:\n",
    "    - With simple features overfitting risk is low, but scores might be low.\n",
    "    - With complicated features scores can be high, but so is overfitting risk."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "### The best features may be dependent on the model you use.\n",
    "\n",
    "- Examples:\n",
    "    - For counting-based methods like decision trees separate relevant groups of variable values\n",
    "        - Discretization makes sense \n",
    "    - For distance-based methods like KNN, we want different class labels to be \"far\".\n",
    "        - Standardization \n",
    "    - For regression-based methods like linear regression, we want targets to have a linear dependency on features."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Domain-specific transformations\n",
    "\n",
    "In some domains there are natural transformations to do:\n",
    "- Spectrograms (sound data)\n",
    "- Wavelets (image data)\n",
    "- Convolutions \n",
    "\n",
    "![](img/spectogram.png)\n",
    "\n",
    "<!-- <img src=\"img/spectogram.png\" width=\"800\" height=\"800\"> -->\n",
    "\n",
    "[Source](https://en.wikipedia.org/wiki/Spectrogram)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "In this lecture, I'll show you two example domains where feature engineering plays an important role: \n",
    "\n",
    "- Text data \n",
    "- Audio data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<br><br><br><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Common features used in text classification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Bag of words \n",
    "\n",
    "- So far for text data we have been using bag of word features. \n",
    "- They are good enough for many tasks. But ... \n",
    "- This encoding throws out a lot of things we know about language\n",
    "- It assumes that word order is not that important.   \n",
    "- So if you want to improve the scores further on text classification tasks you carry out **feature engineering**. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's look at some examples from research papers.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Example: Label \"Personalized\" Important E-mails: \n",
    "- [The Learning Behind Gmail Priority Inbox](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36955.pdf)\n",
    "- Features: bag of words, trigrams, regular expressions, and so on.\n",
    "- There might be some \"globally\" important messages:\n",
    "    - \"This is your mother, something terrible happened, give me a call ASAP.\"\n",
    "- But your \"important\" message may be unimportant to others.\n",
    "     - Similar for spam: \"spam\" for one user could be \"not spam\" for another."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- Social features (e.g., percentage of sender emails that is read by the recipient)\n",
    "- Content features (e.g., recent terms the user has been using in emails)\n",
    "- Thread features (e.g., whether the user has started the thread)\n",
    "- ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "### [The Learning Behind Gmail Priority Inbox](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36955.pdf)\n",
    "\n",
    "![](img/gmail_priority_inbox.png)\n",
    "\n",
    "<!-- <img src=\"img/gmail_priority_inbox.png\" width=\"1000\" height=\"1000\"> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Feature engineering examples: [Automatically Identifying Good Conversations Online](http://www.courtneynapoles.com/res/icwsm17-automatically.pdf)\n",
    "\n",
    "![](img/classifying_good_conversations_online.png)\n",
    "\n",
    "<!-- <img src=\"img/classifying_good_conversations_online.png\" width=\"800\" height=\"800\"> -->\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "### (optional) Term weighing (TF-IDF) \n",
    "\n",
    "- A measure of relatedness between words and documents\n",
    "- Intuition: Meaningful words may occur repeatedly in related documents, but functional words (e.g., _make_, _the_) may be distributed evenly over all documents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "\n",
    "$$tf.idf(w_i,d_j) = (1+log(tf_{ij})) log\\frac{D}{df_i}$$\n",
    "\n",
    "\n",
    "where, \n",
    "- $tf_{ij}$ &rarr; number of occurrences of the term $w_i$ in document $d_j$\n",
    "- $D$ &rarr; number of documents\n",
    "- $df_i$ &rarr; number of documents in which $w_i$ occurs\n",
    "\n",
    "Check `TfidfVectorizer` from `sklearn`. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### N-grams \n",
    "\n",
    "- Incorporating more context \n",
    "- A contiguous sequence of _n_ items (characters, tokens) in text.\n",
    "    <blockquote>\n",
    "        CPSC330 students are hard-working .\n",
    "    </blockquote>    \n",
    "\n",
    "- 2-grams (bigrams): a contiguous sequence of two words\n",
    "    * _CPSC330 students, students are, are hard-working, hard-working ._\n",
    "- 3-grams (trigrams): a contiguous sequence of three words\n",
    "    * _CPSC330 students are, students are hard-working, are hard-working ._"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "You can extract ngram features using `CountVectorizer` by passing `ngram_range`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "\n",
    "X = [\n",
    "    \"URGENT!! As a valued network customer you have been selected to receive a $900 prize reward!\",\n",
    "    \"Lol you are always so convincing.\",\n",
    "    \"URGENT!! Call right away!!\",\n",
    "]\n",
    "vec = CountVectorizer(ngram_range=(1, 3))\n",
    "X_counts = vec.fit_transform(X)\n",
    "bow_df = pd.DataFrame(X_counts.toarray(), columns=vec.get_feature_names_out(), index=X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>900</th>\n",
       "      <th>900 prize</th>\n",
       "      <th>900 prize reward</th>\n",
       "      <th>always</th>\n",
       "      <th>always so</th>\n",
       "      <th>always so convincing</th>\n",
       "      <th>are</th>\n",
       "      <th>are always</th>\n",
       "      <th>are always so</th>\n",
       "      <th>as</th>\n",
       "      <th>...</th>\n",
       "      <th>urgent call</th>\n",
       "      <th>urgent call right</th>\n",
       "      <th>valued</th>\n",
       "      <th>valued network</th>\n",
       "      <th>valued network customer</th>\n",
       "      <th>you</th>\n",
       "      <th>you are</th>\n",
       "      <th>you are always</th>\n",
       "      <th>you have</th>\n",
       "      <th>you have been</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>URGENT!! As a valued network customer you have been selected to receive a $900 prize reward!</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lol you are always so convincing.</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>URGENT!! Call right away!!</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 61 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    900  900 prize  \\\n",
       "URGENT!! As a valued network customer you have ...    1          1   \n",
       "Lol you are always so convincing.                     0          0   \n",
       "URGENT!! Call right away!!                            0          0   \n",
       "\n",
       "                                                    900 prize reward  always  \\\n",
       "URGENT!! As a valued network customer you have ...                 1       0   \n",
       "Lol you are always so convincing.                                  0       1   \n",
       "URGENT!! Call right away!!                                         0       0   \n",
       "\n",
       "                                                    always so  \\\n",
       "URGENT!! As a valued network customer you have ...          0   \n",
       "Lol you are always so convincing.                           1   \n",
       "URGENT!! Call right away!!                                  0   \n",
       "\n",
       "                                                    always so convincing  are  \\\n",
       "URGENT!! As a valued network customer you have ...                     0    0   \n",
       "Lol you are always so convincing.                                      1    1   \n",
       "URGENT!! Call right away!!                                             0    0   \n",
       "\n",
       "                                                    are always  are always so  \\\n",
       "URGENT!! As a valued network customer you have ...           0              0   \n",
       "Lol you are always so convincing.                            1              1   \n",
       "URGENT!! Call right away!!                                   0              0   \n",
       "\n",
       "                                                    as  ...  urgent call  \\\n",
       "URGENT!! As a valued network customer you have ...   1  ...            0   \n",
       "Lol you are always so convincing.                    0  ...            0   \n",
       "URGENT!! Call right away!!                           0  ...            1   \n",
       "\n",
       "                                                    urgent call right  valued  \\\n",
       "URGENT!! As a valued network customer you have ...                  0       1   \n",
       "Lol you are always so convincing.                                   0       0   \n",
       "URGENT!! Call right away!!                                          1       0   \n",
       "\n",
       "                                                    valued network  \\\n",
       "URGENT!! As a valued network customer you have ...               1   \n",
       "Lol you are always so convincing.                                0   \n",
       "URGENT!! Call right away!!                                       0   \n",
       "\n",
       "                                                    valued network customer  \\\n",
       "URGENT!! As a valued network customer you have ...                        1   \n",
       "Lol you are always so convincing.                                         0   \n",
       "URGENT!! Call right away!!                                                0   \n",
       "\n",
       "                                                    you  you are  \\\n",
       "URGENT!! As a valued network customer you have ...    1        0   \n",
       "Lol you are always so convincing.                     1        1   \n",
       "URGENT!! Call right away!!                            0        0   \n",
       "\n",
       "                                                    you are always  you have  \\\n",
       "URGENT!! As a valued network customer you have ...               0         1   \n",
       "Lol you are always so convincing.                                1         0   \n",
       "URGENT!! Call right away!!                                       0         0   \n",
       "\n",
       "                                                    you have been  \n",
       "URGENT!! As a valued network customer you have ...              1  \n",
       "Lol you are always so convincing.                               0  \n",
       "URGENT!! Call right away!!                                      0  \n",
       "\n",
       "[3 rows x 61 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bow_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### ASIDE: [Google n-gram viewer](https://books.google.com/ngrams)\n",
    " \n",
    "- All Our N-gram are Belong to You\n",
    "    - https://ai.googleblog.com/2006/08/all-our-n-gram-are-belong-toyou.html\n",
    "\n",
    "<blockquote>\n",
    "Here at Google Research we have been using word n-gram models for a variety\n",
    "of R&D projects, such as statistical machine translation, speech recognition,\n",
    "spelling correction, entity detection, information extraction, and others.\n",
    "That's why we decided to share this enormous dataset with everyone. We\n",
    "processed 1,024,908,267,229 words of running text and are publishing the\n",
    "counts for all 1,176,470,663 five-word sequences that appear at least 40\n",
    "times. There are 13,588,391 unique words, after discarding words that appear\n",
    "less than 200 times.”\n",
    "</blockquote>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/gtoti/opt/anaconda3/envs/cpsc330/lib/python3.9/site-packages/IPython/core/display.py:724: UserWarning: Consider using IPython.display.IFrame instead\n",
      "  warnings.warn(\"Consider using IPython.display.IFrame instead\")\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<iframe src=https://books.google.com/ngrams/ width=1000 height=800></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "\n",
    "url = \"https://books.google.com/ngrams/\"\n",
    "HTML(\"<iframe src=%s width=1000 height=800></iframe>\" % url)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Aside: [Google n-gram viewer](https://books.google.com/ngrams)\n",
    " \n",
    "- Count the occurrences of the bigram _smart women_ in the corpus from 1900 to 2000 \n",
    "\n",
    "![](img/ngram_viewer_smart_woman.png)\n",
    "\n",
    "<!-- <img src=\"img/ngram_viewer_smart_woman.png\" width=\"800\" height=\"800\"> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "### Aside: [Google n-gram viewer](https://books.google.com/ngrams)\n",
    " \n",
    "- Trends in the word _challenge_ used as a noun vs. verb\n",
    "\n",
    "![](img/ngram_viewer_challenge_NN_VB.png)\n",
    "\n",
    "<!-- <img src=\"img/ngram_viewer_challenge_NN_VB.png\" width=\"800\" height=\"800\"> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Part-of-speech features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Part-of-speech (POS) in English\n",
    "\n",
    "- Part-of-speech: A kind of syntactic category that tells you some of the grammatical properties of a word.\n",
    "    * Noun &rarr; water, sun, cat  \n",
    "    * Verb &rarr; run, eat, teach\n",
    "\n",
    "    \n",
    "<blockquote>\n",
    "The ____ was running. \n",
    "</blockquote>    \n",
    "\n",
    "- Only a noun fits here. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Part-of-speech (POS) features\n",
    "\n",
    "- POS features use POS information for the words in text.  \n",
    "\n",
    "<blockquote>\n",
    "    CPSC330/<span style=\"color:green\">PROPER_NOUN</span> students/<span style=\"color:green\">NOUN</span> are/<span style=\"color:green\">VERB</span> hard-working/<span style=\"color:green\">ADJECTIVE</span>\n",
    "</blockquote>    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### An example from a project \n",
    "\n",
    "- Data: a bunch of documents \n",
    "- Task: identify texts with *permissions* and identify who is giving permission to whom. \n",
    "\n",
    "<blockquote>\n",
    "<b>You</b> may <b>disclose</b> Google confidential information when compelled to do so by law if <b>you</b> provide <b>us</b> reasonable prior notice, unless a court orders that <b>we</b> not receive notice.\n",
    "</blockquote>\n",
    "\n",
    "- A very simple solution\n",
    "    * Look for pronouns and verbs. \n",
    "    * Add POS tags as features in your model. \n",
    "    * Maybe look up words similar to **disclose**.\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "### Penn Treebank part-of-speech tags (bonus)\n",
    "\n",
    "![](img/PTB_POS.png)\n",
    "\n",
    "<!-- <img src=\"img/PTB_POS.png\" width=\"900\" height=\"900\"/> -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- How do we extract part-of-speech information?\n",
    "- We use **pre-trained models**! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- A couple of popular libraries which include such pre-trained models. \n",
    "- `nltk`\n",
    "```\n",
    "conda install -c anaconda nltk \n",
    "```        \n",
    "- spaCy\n",
    "```\n",
    "conda install -c conda-forge spacy\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "import nltk\n",
    "\n",
    "# nltk.download(\"punkt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- You also need to download the language model which contains all the pre-trained models. For that run the following in your course `conda` environment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# python -m spacy download en_core_web_md"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### [spaCy](https://spacy.io/) \n",
    "\n",
    "A useful package for text processing and feature extraction\n",
    "- Active development: https://github.com/explosion/spaCy\n",
    "- Interactive lessons by Ines Montani: https://course.spacy.io/en/\n",
    "- Good documentation, easy to use, and customizable. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "import en_core_web_md  # pre-trained model\n",
    "import spacy\n",
    "\n",
    "nlp = en_core_web_md.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "sample_text = \"\"\"Dolly Parton is a gift to us all. \n",
    "From writing all-time great songs like “Jolene” and “I Will Always Love You”, \n",
    "to great performances in films like 9 to 5, to helping fund a COVID-19 vaccine, \n",
    "she’s given us so much. Now, Netflix bring us Dolly Parton’s Christmas on the Square, \n",
    "an original musical that stars Christine Baranski as a Scrooge-like landowner \n",
    "who threatens to evict an entire town on Christmas Eve to make room for a new mall. \n",
    "Directed and choreographed by the legendary Debbie Allen and counting Jennifer Lewis \n",
    "and Parton herself amongst its cast, Christmas on the Square seems like the perfect movie\n",
    "to save Christmas 2020. 😻 👍🏿\"\"\"\n",
    "\n",
    "# [Adapted from here.](https://thepopbreak.com/2020/11/22/dolly-partons-christmas-on-the-square-review-not-quite-a-christmas-miracle/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Spacy extracts all interesting information from text with this call."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "doc = nlp(sample_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's look at part-of-speech tags. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(Dolly, 'PROPN'), (Parton, 'PROPN'), (is, 'AUX'), (a, 'DET'), (gift, 'NOUN'), (to, 'ADP'), (us, 'PRON'), (all, 'DET'), (., 'PUNCT'), (\n",
      ", 'SPACE'), (From, 'ADP'), (writing, 'VERB'), (all, 'DET'), (-, 'PUNCT'), (time, 'NOUN'), (great, 'ADJ'), (songs, 'NOUN'), (like, 'ADP'), (“, 'PUNCT'), (Jolene, 'PROPN')]\n"
     ]
    }
   ],
   "source": [
    "print([(token, token.pos_) for token in doc][:20])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- Often we want to know who did what to whom. \n",
    "- **Named entities** give you this information.  \n",
    "- What are named entities in the text? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Named entities:\n",
      " [('Dolly Parton', 'PERSON'), ('Jolene', 'PERSON'), ('9 to 5', 'CARDINAL'), ('COVID-19', 'ORG'), ('Netflix', 'ORG'), ('Dolly Parton’s', 'PERSON'), ('Christmas', 'DATE'), ('Christine Baranski', 'PERSON'), ('Christmas Eve', 'DATE'), ('Directed', 'ORG'), ('Debbie Allen', 'PERSON'), ('Jennifer Lewis', 'PERSON'), ('Parton', 'PERSON'), ('Christmas', 'DATE'), ('Christmas 2020', 'DATE')]\n",
      "\n",
      "ORG means:  Companies, agencies, institutions, etc.\n",
      "\n",
      "PERSON means:  People, including fictional\n",
      "\n",
      "DATE means:  Absolute or relative dates or periods\n"
     ]
    }
   ],
   "source": [
    "print(\"Named entities:\\n\", [(ent.text, ent.label_) for ent in doc.ents])\n",
    "print(\"\\nORG means: \", spacy.explain(\"ORG\"))\n",
    "print(\"\\nPERSON means: \", spacy.explain(\"PERSON\"))\n",
    "print(\"\\nDATE means: \", spacy.explain(\"DATE\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">\n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Dolly Parton\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " is a gift to us all. </br>From writing all-time great songs like “\n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Jolene\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       "” and “I Will Always Love You”, </br>to great performances in films like \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    9 to 5\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">CARDINAL</span>\n",
       "</mark>\n",
       ", to helping fund a \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    COVID-19\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " vaccine, </br>she’s given us so much. Now, \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Netflix\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " bring us \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Dolly Parton’s\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Christmas\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " on the Square, </br>an original musical that stars \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Christine Baranski\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " as a Scrooge-like landowner </br>who threatens to evict an entire town on \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Christmas Eve\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " to make room for a new mall. </br>\n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Directed\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " and choreographed by the legendary \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Debbie Allen\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " and counting \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Jennifer Lewis\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " </br>and \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Parton\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " herself amongst its cast, \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Christmas\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " on the Square seems like the perfect movie</br>to save \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Christmas 2020\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       ". 😻 👍🏿</div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from spacy import displacy\n",
    "\n",
    "displacy.render(doc, style=\"ent\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "###  An example from a project \n",
    "\n",
    "Goal: Extract and visualize inter-corporate relationships from disclosed annual 10-K reports of public companies. \n",
    "\n",
    "[Source for the text below.](https://www.bbc.com/news/business-39875417)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "text = (\n",
    "    \"Heavy hitters, including Microsoft and Google, \"\n",
    "    \"are competing for customers in cloud services with the likes of IBM and Salesforce.\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">Heavy hitters, including \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Microsoft\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " and \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Google\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", are competing for customers in cloud services with the likes of \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    IBM\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " and \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Salesforce\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ".</div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Named entities:\n",
      " [('Microsoft', 'ORG'), ('Google', 'ORG'), ('IBM', 'ORG'), ('Salesforce', 'ORG')]\n"
     ]
    }
   ],
   "source": [
    "doc = nlp(text)\n",
    "displacy.render(doc, style=\"ent\")\n",
    "print(\"Named entities:\\n\", [(ent.text, ent.label_) for ent in doc.ents])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "If you want emoji identification support install [`spacymoji`](https://pypi.org/project/spacymoji/) in the course environment. \n",
    "\n",
    "```\n",
    "pip install spacymoji\n",
    "```\n",
    "\n",
    "After installing `spacymoji`, if it's still complaining about module not found, my guess is that you do not have `pip` installed in your `conda` environment. Go to your course `conda` environment install `pip` and install the `spacymoji` package in the environment using the `pip` you just installed in the current environment. \n",
    "\n",
    "```\n",
    "conda install pip\n",
    "YOUR_MINICONDA_PATH/miniconda3/envs/cpsc330/bin/pip install spacymoji\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "from spacymoji import Emoji\n",
    "\n",
    "nlp.add_pipe(\"emoji\", first=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Does the text have any emojis? If yes, extract the description. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('😻', 138, 'smiling cat face with heart-eyes'),\n",
       " ('👍🏿', 139, 'thumbs up dark skin tone')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc = nlp(sample_text)\n",
    "doc._.emoji"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Final remarks\n",
    "\n",
    "- If we want to go beyond bag-of-words and incorporate human knowledge in models, we carry out feature engineering. \n",
    "- Some common features include:\n",
    "    - ngram features\n",
    "    - part-of-speech features\n",
    "    - named entity features\n",
    "    - emoticons in text\n",
    "- These are usually extracted from pre-trained models using libraries such as `spaCy`.  \n",
    "- Now a lot of this has moved to deep learning.\n",
    "- But industries still rely on manual feature engineering. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Classify music style from audio files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- Imagine you are asked to develop a music style classification system to help a song recommendation system. \n",
    "    - E.g., something similar to what Spotify does\n",
    "- Training data: audio files along with their music styles (e.g., classical, blues, pop)\n",
    "- Prediction task: Given a new raw audio file predict the music style of in the audio. \n",
    "- You can download the data from [MARSYAS](http://marsyas.info/downloads/datasets.html). \n",
    "    - Beware of the size; it is 1.2 GB.     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- We'll be using `librosa` library for feature engineering of audio files.  \n",
    "- You can install `librosa` in your conda environment as follows: \n",
    "\n",
    "```\n",
    "conda install -c conda-forge librosa\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Monophonic')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAB9CAYAAAChzNjbAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAk+0lEQVR4nO2dd3hURdfAfycJIbQQ6S0QOgihd6T3oqhYQLHrKxasr76IDRABFfvrJy8qKhYsgIrSizTphN4hJBA6oSekz/fHFjabzWbLTXY3md/z8LD3zty5Z2/unpk558wcUUqh0Wg0msJPkK8F0Gg0Gk3BoBW+RqPRFBG0wtdoNJoiglb4Go1GU0TQCl+j0WiKCFrhazQaTRFBK3yNxgBEJE5EeudDu/eKyGKj29UUTbTC1wQMZqWaJiIV7M5vExElIlE+Ei3fUEr9oJTq62s5NIUDrfA1gcYRYLjlQESigRK+E0ejCRy0wtcEGt8B99scPwDMsByISFkRmSEiZ0UkXkReE5Egc9mDIrJGRKaIyAUROSIiA2yurSYic0XkvIgcEpHHbMrGisgsEflZRK6ISIyINLeTrYWI7BCRS+Z6YTbXP2Zu87z5HtVsypSIjBSRg2a5PhMRsZXZpm4TEVlibue0iIzx/pFqigpa4WsCjfVAuIg0FpFg4G7ge5vyT4GyQB2gG6bO4SGb8vbAfqAC8C7wlUW5AjOBBKAacAcwUUR62Vw7BPgVKAf8CPwuIsVsyu8C+gO1gWbAgwAi0hOYZC6vCsQDP9l9r8FAW6C5uV4/+y8uImWApcBCs4z1gGUOn5JG4wCt8DWBiGWU3wfYBxw3n7d0AK8opa4opeKA94H7bK6NV0p9oZTKBL7FpIAri0gkcBPwH6VUilJqG/Cl3bVblFKzlFLpwAdAGNDBpvwTpdQJpdR54E+ghfn8vcB0pVSMUioVeAXoaOdzmKyUuqiUOgr8bXOtLYOBU0qp980yXlFKbXDlgWk0oBW+JjD5DrgH0wh6hs35CkAophG0hXigus3xKcsHpVSy+WNpTCPm80qpK06uPWZzbRbXZwM52gaSze1irmOVSSl1FUjMTS67a22JBA47OK/RuIRW+JqAQykVj8l5OxCYY1N0DkgHatmcq8n1GYAzTgDlzGaT3K6NtHww+wVqmK9zpW2rTCJSCijvoly2HAPqunmNRmNFK3xNoPII0FMplWRzLhP4BXhbRMqISC3gBbLb+B2ilDoGrAUmiUiYiDQz3+MHm2qtReR2EQkBngNSMfkU8uJH4CERaSEixYGJwAazyckd/gKqiMhzIlLc/B3bu9mGpgijFb4mIFFKHVZKbXZQNApIAmKBNZiU7XQXmx0ORGEakf8GvKmUWmJT/gcmH8EFTLb92832/LxkXQa8DswGTmIapQ9zUSbbdq5g8lvcjMkEdBDo4W47mqKL6AQoGk3eiMhYoJ5SaoSvZdFoPEWP8DUajaaIoBW+RqPRFBG0SUej0WiKCHqEr9FoNEUErfA1Go2miBDiawGcUaFCBRUVFeVrMTQajSZg2LJlyzmlVEVHZX6t8KOioti82VGotUaj0WgcISLxuZVpk45Go9EYREp6JqcupfhajFzRCl+j0WgM4pNlB+n63t++FiNXtMLXaDQag4hLTCItI4vJC/b6WhSHaIWv0Wg0BpGWkQXA1JWxXE7Jc5ulAkcrfI1GozGIpXvPWD+npGf6UBLHaIWv0RQASim+/ucI+bWy/akfYjh2PjnvipoijVb4moDiQlIaUaPnETV6Hqcv+280hD0ZWYpxf+7Bou+vpWXy6+Zjzi9yg3k7T7L7xGXD2tN4T5d3/M95a4jCF5H+IrJfRA6JyGgH5Y1EZJ2IpIrIv424p6Zo0vKt69vTHz571dC2jW7PGRuOJPLSrB0s2XOaF3/ZZkibu45fYsme04a0pXGPyynpOWZvqWZ7vj/htcIXkWDgM2AAcCMwXERutKt2HngGmOLt/TSa/OBKSjq93l/J1dQMQ9vNzFI8MzPGevzrFtOo3qIaXpmzk9kx7mY6dMx//z7EYzP0QsWC5lpaJs3GLua79Y7XOy3dc5pj55NJTsvgYnJaAUuXHSNG+O2AQ0qpWKVUGvATMMS2glLqjFJqE6Z8oxqNIYz6cathZpGv/4kDTCajt/7cDUB6ZpbXjrfUjEzmbj9pPd545EK28nNXU71qH8jRSWlbfsGQlaW4mJxG4zcWAvDGH7sd1nt0xmY+XHKAMXN2MmyaKxkx8w8jFH51TMmVLSSYz/mc5LQM9p+64msxigzT1xxh94lL1uMdCReZv/Okkyvc48TFa9mOE5PSmLnxqCFtxxw1KeJ9p67wlVn5v/bbLh78emOOugkXkolPTMpx3hmW6f3smARWHTjL538fzlbuTcfS+q0l2Y7nmZ/5gdNX+Pev2z1uV+OcOVuP02L8Eqd1ksydcUpGJjFHL7LPx/rICIUvDs55HIogIv8Skc0isvns2bNeiAVfrj5Cv49WWY+zshQPf7Mp3yIlijJfrIpl/F97+Gr1Eeu5cX/u4ckfYth94hKZWe4/86wsxdpD50hJz+TOqWvpNHl5jjpXUowxwazYb3rX/tpxAjDFU686eJb1sedz1H3i+xgemL4RpRS7jl/KUe6Ipm8usn6+f/pGNsZlb/fV33Z5JPfj323OYSs+ae4Yv1gVy6wtCValE8isPXSOS9f8y0CQcCHvmdTLs3YAkJahOGqeea05eI5rab4J2TRC4ScAkTbHNTAlgfYIpdQ0pVQbpVSbihUdbvjmMj9vMk08pq06THJaBmsPJ7J83xmmrYr1ql1foJSyLurwJ84npXH6cgpvzzetLLSo9YW7TrIl3jRqHvTJGuqOme9Wu/GJSaw/ksg9X24gKTWDTXEXHNY7eMZYR+sf20yvboPXFnAylz1RDp65QlxiMvGJyQz+dI3TaKH/sxvJ58bsmAS3Zf1uXRyLdud00n67Lp47Pl/Lr1tMbW44kuh22/7GPV9uoPm4xb4WIxvzduQ9e7XMtpbuvf53GvHVBkNnvu5ghMLfBNQXkdoiEgoMA+Ya0K5XJKVmcNw80pk4fx/L951hxFcbAJi0YJ8vRXObI+eS+HDpQYZ+vtaQ9pRSHDJIUY6aGUP7icusx79tPU7s2auM/D4mR11XzRapGZl0e28F93xh+nvFnnPPfOIO6ZlZrDvsmkL8edNRJs67vmQ+I8vUAe/JJRzyrqnr+O/fh1yWZdaWvJV+ZpYiavQ8rqVl8nouNmOAzfGOO8hAZEOs/3VYP2086tVgIy3TN4M3rxW+UioDeBpYBOwFflFK7RaRkSIyEkBEqohIAvAC8JqIJIhIuLf3dsaAj1dnO7Y3KRRkCJ639JiygtlbEtjpovnAGQkXkvlwyQF6f7DSAMmwjuJtyS000DKlzSt+3t7idufUdU7rx3nYIVxKTqf+qwsY/oVrjrT/zN7JtNXXZ4e9PzCZC+07zysp6by/eH8Os01e/PvX7VZl3t3BBlxnrqSQZX447y/e73K7/jgzdIe7bRydlt9xSrqx6xhs2RCbaB2c/LXjhHXdh2UAuev4JUbP2enVPXYkXPKJicqQOHyl1HylVAOlVF2l1Nvmc1OVUlPNn08ppWoopcKVUhHmz/m6SuSoXaTCsz9ty3bc631jFJ7RzNtxkqjR83JssXrKoEVGN73zN58sN406szywq9uTkp5TmeQ2g7qWlsmx88nZZgSO+D6X8Lbc6D5lBUc8UPoHzrjmQLOPpLH/zhZzloXosYv5dLnrI3t7rqZmEJeYzPM/b+No4vX3uN3by/jG7FD+cs2RXK7Oiaf+AX+k+bjFHDmXxLrDpnUM+cHd09Zbbe+zbWZdnScvZ8a6OAZ/usbre8zceJTxf+7xuh13KZQrbT1xEPoLf2wzxWRvO3YRwBplYflOX//j+g89Lx4t4JjtIZ/9Q5d38159OGGe+zsNPv/zNrev+XK1a76cNhOWsmyv8wVN+fHO/bb1OM//so07p67lQpIpftu+c3GFxKQ0v9zXJS/SMrKIGj0v27mrqRn0mLKCh77ZZNh9ktPMkTQ2z2ju9hOcu5rK3/uzB47kFnrpCbNjErJ16AVBoVT4Z64EzpJ7exabzSE7j18kavS8HHbdcQaOCpbvO+NV2GpqhvFKxJOROpg6yHQHdtFraZnWH7JSKps5KSPTdSX9yLfOO0d3ndLOOJ90fXHOlvgLbIq7kG2FsScs3HXKW7EKnH2nCmariBvfWMSVlHQavb6QsXOvK3Qjf2u5Mf4v4zoQVyiUCn/cXNf+UEoprnixham31zvjMyfRHbYjEaUUd/9vXbawP0ekZ2bx5h85p/b9Plrl9ndIvJrKK3N20PC1hW5d5wr3umhPd0TChWs5wt0em7GZZ3/aCsDuE5dpP3EZy/edJmr0PJbtO+OoGY9ZecC7MGILtqHERmFv4vSUjAJwNt762T/8ve8Mt/z3nzzrertydfk+0wAreqwpAuibtXHWsj+3exxs6DK2u2sWBIVS4ZcOcy1V7z1fbCB67GLOXE5xe7Ta9u2l1H5lvvVF8YTnftrKnVPXEjV6HvtPXXH5x3TZxtkzO+Y4G46cd7glwAPTN7Ij4SJgiir4dp1j23j02MUuTS1T0jN5/LvNtJ6wlJkbjXGYHb94jUvJ17/PCS/Sw/WYsoKxc3ezcNcpTly8xtD/W8uaQ+dYsf8sRxOTrStQH/4mf0xZD0zfmMME4S98sORAtkVxYHKe57YdgCOUUtR7dQHvLcrfKLdtxy66bLJ59NvNHDh9hWtpmaw3R/P8FpNgVeTOiDl6Id/eBXf4aeNRUtIz2Rx33mrGyq8ZWaFU+J3qlnep3jrzC9Ju4jKmrojl5KVrOeqcuZzCQ19vpOmbizhk4+Q7e+W6Iy8zS/Hx0oM5In8up6Rz6MxVXv99Fx8u2c9mu6iN37edsMaX9/tolcux2B8tO2j9bLuSckv8eWu8/s2frmHlgbPEmKNonIXwAXy+8nA2U4Ijbv50jcO4b0+454v1xCcm0eeDlTw9M2cIp6fMjklg5Pdb6DR5OVvMq2dTM7IY8tkanvjBuPsEIoM+WZNtdvi/lbG8/vsu4hOTiBo9z6kfIjNLWbcF+Ozvw0yYt8dwv4VSip83ubdyenP8Bfp+uIoOk5YxbNp66r86n+d/2c7D32xmR8JFpizan8N/sev4JdbHJjLyuy1Giu8xo+fspOX4JdwxdR1rDplmiSO/zx/ZXBsKBxjBQY4W/zrnw6UHTP/ubs5tLWtYz3/29yGr42Z2zHH+078Rm+wUt8V+++HSA/zvvtb0blyZ4CBhyqL9zLAZVf9zKJFZT3TKVYZlLk7vftxwlCe71+Umu+1Xh36+jie612VIi2rZQjg/X5H34p+ZG48yc+NRRnarS1T5kgxrV9NaturAWX7fetzQRU5rDyfS7b0VAKw+eI7Ys1epU7G01+1m5KKELiT71ypNXxJ3LomIksWYbg4AsPwd5sQkcGebyBz1F+46xZM/bMH20X65+gjFQ4J4qV8jQ2T6YUO8V9FElhDHdBu/jMUklKkUzaqXZfScncx/toshUTZGc83cKdnOODIyswgJNnZMLv68zUCbNm3U5s3uT7l+3XzM45CthzvX5o2br2/2aT9FPzBhAA1eW+BR2wCrXupBzfIl+XTZQd5fcsDjdlzlpnoVWHPonNvX/fhYexbuOsXL/Rvl6R8wirjJg/zWJFJUiJs8CDBty/D2/L2EBEmunSjAnCc70armDYDJ5BdWLDjXusfOJ7PxyHmGtq7BwdNXGD1nJ7883tFQh3dhYvXLPYgsV9Lt60Rki1KqjcOywqjw/9x+glEzt3p83w51yvFQ59okXk1jzG/eLbBwxKZXe9P27aWGt6vReEvT6uHMfeommo5dRLKL+73c1rI6ESWL8fU/cdYOwxFj5+7O5hTVOGflS92pVb6U29cVOYW//dhFhnyWt4dfo/EXBC92HPQz7JX+t2uP8KaLkXOa60wd0Zr+Tau4fZ0zhV8onbYAIR7Y8TUaX1FYlD1gjToDeGfhPq3sPcToZDxQcCkORUQ+MZfvEJFWRtzXGSVCc7clajSa/KXfR6tYuOuUSwEDGseEFTN+PF5QKQ4HAPXN//4FfO7tfTUajX+TX6GFgYantobqESUMlQMKKMWh+XiGMrEeiBCRqgbcW6PRaPwaT8x1pUKDKRNWzHBZCirFod+mQdQ4J5A8IYEkq0bjlHx6mQsqxaHLaRCNTHGo8Z5AciYGkqwajS8oqBSHLqdBNDLFoUajcY6eFRUtCirF4VzgfnO0TgfgklLKN0kdNRqNFT0r8k+SUvMnf4HXe+kopTJExJLiMBiYbklxaC6fCswHBgKHgGTgIW/vq9FoNIWZ4xevUa+S9/tL2WLI5mlKqfmYlLrtuak2nxXwlBH30mg0gcHe8f1p/IbxOROKCt7u9e+IQrvS9kqK8avUNBpN3sx9ujMHJgygRGgwG8f08rU4AUuqg3zR3lIoFb6jVHcajSb/GXdLE5rViCA0xKRaKoWHseDZLjSqUoZ2UeV8LF1g0aBKGcPbLJQK39O8qAA1bijBryM7suW13qx6qYeBUpmoW7GU0x0F/YVB0aZ1cTeUNH7xR1731PiO357sRNzkQbSsGeFS/ToVSrFxTC9WvdSDO1pX54FOUTnqNK4azsLnutKjUSUAXuzTwFr27h3NjBC7UBJRwj8XXvkdQeJ5sFnfG6vQNqoc5UsXp2b57HtRly1RLE9lHRoSxIgONXnQwYsPsOzF7gD8+fRNHssI0KCya86cJ7vXdbvtiJLFeOPmG/nxsfZsfaMv5UuFut2GJ3x2b75vsVTkeapHXVrVjOCZXvVzlIWHhdDSvLf9xNuiebRLbV4d2Nhpe/Oe6UKl8DBqli/JlDtbOK378E1RrPlPD0b1qs/e8f2Zdl9r7moTydQRrT3+Pu5SrmTBvMtGULK48fuBFUqF70nGqwqliwMwvF32jD+vDbr+wluU5/4J/bPVuaV5Nevn5S92Y8Kt0Yy9pQmTbo+mcdXr07IhLa7Xi65RNocMz/dukONcbix6riuvD7bfsghmmWcnFiqVKc5vT+aeZcuehc91YdbIjlQOD6NT3QoALHi2C3Of7uxyG56w763+eVfSeM2onvWZ82RnRvWsZz3Xr0llAGbbZGNrXDWc1wbdyGNd67Dype682DfnuznnyU5ubVJYPCSYGjeYBlElQoPp28S09W//plVY/mI33nDwPhvBx8NasPX1Prw7tBkxb/ShYx3XUqD6mkplwgxvs1CmOExKc89hO6xtJH2bVKZno8o5yh7uXJtmNSI4dOYqt7Y0KeziIdlf8k+Gt2TKnc2tdksLw9vVZHi7mpy8dI2U9CynU7RuDSrSrrZrNs4pdzZHRHjkptqsj01kyR5TntkjkwYiIiil+GR4S56ZuZXgILGO2pwxfkgT7u8Y5bCsUngYlcLD+PDu5jz/83aHddzlh0fb07leBV6etZ3qESWdZkpyh3ZR5dgYd546FUsRe9Zk2iseEsSA6KrM23EiWwq8oohlMFQsOIh3hzbj5dk7+GR4S2LiL1K/smObca3ypRjVsz51KpTmqR9NeYEXPteFRlXCDZOrTsXS1KlYml6NK1lTLrrDO0Oj+c/snYwZ2IiJ8/dRtWwYq1/uQVJqJmXNZsm72poGczMeaUewCP/6bgtL9xqTo9lbHu5cm+83xLNudE9aT1hKtbLGK3sopAlQHvx6Iyv2570tw9QRrVhz8BwTbot2+x7L9p5m9cFzpGZkMul2z+yQK/afIThI2Hr0Ik/1qEdwkLiU4m/7G32tL/Hek5cZ8PFqIGfiiT+3n6Br/YqULVmMbccucmsuSWE61yvP9Afb5ujI7FFKsfvEZaatimXudocLpV0mN9OYNykOBzerSrcGFenZqBLhJYrx+9bjvDRrByVDg9kzvj/rYxOtibjzg871yjO0VQ1e+MWYTtFoLAMCC+mZWZy4eM2trEofLTnA4ObVDI8Pt8Wdd2D0gEaM7GaaeWdmKYKDhGPnkyldPIQb8jBFXk5Jp9nYxV7JagRLX+hGvUqlycpSBAUJX6yKZWCzqh7vllnkMl59vPQgHy7NO1+sPzpPXXnZYycOJMjGbLVg50kuXUvPlnjcEReT02gxfkm2c/UrlWbJC93clnNT3Hli4i8wacE+t6+F3J/9Uz/GMG+HZ4uw947vn8PEMGNtHGGhwdzVJpJTl1J47qetfPlgW579aSurD54jLcO4iK6NY3pRKTzML/PyjruliUOHqj/y86ajdKlfkU6Tl+dZ19vfsOU38frgG3nrr4JP1NIiMoLfnzLWXFrkMl492qW2r0XwmNLFTVa2d4c245UBjRzWCbLzUQyIrpqnsgeIcOCw8kTZA7SNKsfj3dx3COfFJ8Naenyto4QR93eK4q42pql8lbJh/PR4R0oXD+GrB9rSpV4Fj+9lz1u3NqVSuDHT8E2v9s5x7vFudbxqs1E+hPjlF3e3rUm1iBJsf6Nvvt8romQovRpX4r4OtejfpDJLnu9qLXvr1qb5fn9XzbhGUSgVfqnigeua6GkOXatYpjiPd6vLd4+0y1a+wcCFLB/e1dywtlyhToVS3NveecfkicMdTM52cTM6K7JcybwrmclrAdG9LnS4nvD64Bv5332tebmf487fVdoHiKPSlvASIQ4DE8AUPm0UXz3QltCQIKbe1yabHyO//qa2vNyvYb7fwxavFL6IlBORJSJy0Py/Q++giEwXkTMissub+3lDe7uetGKZ4j6SxDkv9WvIv7rW4ab6ptFnl/qmHUMtUUSVvRxFtrJx4N7WqoZXbeVG6Vw63Kn3teY/AxrRtLpzZ9+yF92fdbw1xP3RmKsmjrjJg/IcvdvOup7uUc9JTdeZ/UQn7m1fk35NqhAcJJQKDc42AnUVd6K//AlLYIItk26PJm7yID6/N39DOafd15qgIMkWWdewShlWv2zc2pz37mhGSHDBjrm9vdtoYJlSqj6wzHzsiG+AAo27e6FP9pf8HruRpaNpsz8QWa4kYwY2ppjNi1C1bBgVShsTPzznyU6sf6WXYenTyjhQ7pOHOnaCFw8JIjysGH+N6uK0TXvZbENjHXFk0kCPfjg1bijhVoieZRGaxXRkMZN8cX92c+m/+zXkDw/tshNubUr5UqG8O7QZrWvdkC16aff4/kRVMDlY3TF35NXBBhLDzaPuptXDs4UfG8nhiQOtIaP/7msagY/sVpdFz3UlslxJQ0KI376tKXe2icy7osF4q/CHAN+aP38L3OqoklJqFXDey3u5hW2cMZhG9OFhgWnqWfdKL968uYlhccpVyobxz+iehrQ1sntd+tx4PZy1ZGgwvRpVdmiacTUaJMR8rUUZd2vgPC+Cu6YcC8WCg5j5rw7EThzoUv1fR3Zk5mMdrMefDjf5Gxz5DppHRvCBmyazda/0ZESHWgQFiTWE0J6QIOGZXvXdWpTjxTpEvyDm9T45zokI5Uvnzyzd9t2NLFeSuMmDGG3jTwsrFszOsd75F7xZHOrVfb28vrJlX3vz/5W8F8kYRITBzUxL9XeO7UvHOuXZMMY0Ilj4nPMRpj/SsW55Hr7J/5zRT/Woxxf3t6G+OUyvX5MqlAgNZsOYXtQ2j0Z7N65kXdzjCiHBQcRNHsR7d5rCXcvl80pfeyc44NDXUK9SGTrWvT4jsIT9dchllnB7qxrZOoi8qFo271mXiPBCnwYUCw7iyCTHHVWLyAg+t1m1nB+5UQsSy98/2o9mKmXCinF7K8+ztEbe4Lr/yEjyVPgislREdjn4Z5+o3BCMTHE4MLoqLWtGUCasGCJCidBgvn24naELRjQmPhrWAjCt7AWTz6FFZAQA7wxtxv/ucxgl5pQaN5hGV+VKhfJ/97bioc5ROerkNfp3l3G3NAHg7duiczV73dUmkqGtqlOhdHHiJg/KZn6zp3mkaUX1iA7OHYAf3u2+A11EcpiTANrXKceA6KpMut1kWmtTK++Fd/7OgQkD+DMPU2BBU9MFp//0B01/n4HRVaznDr49wOqjK2jytHEopXI1lInIaRGpqpQ6KSJVgTPeCqSUmgZMA1McvjdtDYyuykC7DbmMVhAaE02qlWXx812parNCcNyQJrzcv6HXU28RYWB0VQY0rcLX/8RlKzMqjv6+DrX4bn08tWz2T3p1UGPOXUnNUdfSKbjDmzc34fv1RylfKpR1r/Til83HeO336zEMt7X0zIHe58bKjOpZj0+XH7Keq1XONLO6pXk1qkWU8Njk5U/Yr2L3B3o1qkzChWvM2pKQa53ONqG/NcuV5Oj5ZKcDhPzGW6P2XOABYLL5/z+8lkgTsDSwW5ofHlaMcAPNCfaK69GbajM8jzBPV2kTdQPfrY+nZeQN1j1l7AcLucnhDt0bViI0JIjqBoYVvti3YTaFbzE1lCoeogc4+Uh0jbJMubM555PSWL7P8Vi3eEgw4WEh1KtUhu4NK3H8wrUCljI73nY1k4E+InIQ6GM+RkSqiYg1A5aIzATWAQ1FJEFEHvHyvhoNPRtXom5FY5b4D2lRnVKhwYSFBtHaQBNIydCQbHZ8+wVUvRsb7/Yyal8ijWtMf7Atw9pGsvQFxyGzK17qwaie9birTSTP9/FtiKxXI3ylVCKQY0WKUuoEphy2luPh3txHo7HQsmYEW49eBIyPdNg9Pn8ihzvWLW9NylPP3EGVNW+kN35IU4a3u2zIfaaOaEW/JlXyrqgxnMlDc99PK7+DDtwhMOMUNUWWXx/vyLg/93A1NcPQkXh+Y981tYyMYPNrvalQujjVDFoTERIUVCjs9YWFZ3oaswDPSLTC1wQUIcFBBbLHidGEBAexYUwvawioiFhXTxvBl/e38Vnkh8YxIzrW8rUIOdAKX6MpILzdFsMZvW90fZ2Dpujif7FOGo1GE6DYxttHlPAf270FrfA1Go3GYH55vKNfrh3QJh2NRqMxiFuaV6NUaEiB73PvKlrhazQajUH0b1qV/k0dL9jzB/xvzqHRaDSafMGvc9qKyFkg3sPLKwDnDBSnIAhEmUHLXZAEosyg5S5IaimlHO6p4dcK3xtEZHNuiXz9lUCUGbTcBUkgygxabn9Bm3Q0Go2miKAVvkaj0RQRCrPCn+ZrATwgEGUGLXdBEogyg5bbLyi0NnyNRqPRZKcwj/A1Go1GY0OhU/gi0l9E9ovIIREZ7Wt5HCEi00XkjIjsyqW8u4hcEpFt5n9vFLSMriAiYSKyUUS2i8huERnna5kcISLBIrJVRP5yUBYQzxpARCJEZJaI7BORvSLS0dcy2SIiDW2e4zYRuSwiz9nVCYjnLSLPmnN377b/DoFMoVppKyLBwGeYsm8lAJtEZK5Sao9vJcvBN8B/gRlO6qxWSg0uGHE8JhXoqZS6KiLFgDUiskAptd7XgtnxLLAXyC17fSA8a4CPgYVKqTtEJBTIO4t2AaKU2g+0AOtv8Tjwm4Oqfv28RaQp8BjQDkgDForIPKXUQd9K5j2FbYTfDjiklIpVSqUBPwFDfCxTDpRSq4DzvpbDW5SJq+bDYuZ/fuUUEpEawCDgS1/L4g0iEg50Bb4CUEqlKaUu+lQo5/QCDiulPF046UsaA+uVUslKqQxgJXCbj2UyhMKm8KsDx2yOE8znApGOZlPJAhFp4mthcsNsLtkGnAGWKKU2+Fgkez4CXgaynNQJhGddBzgLfG02T30pIqV8LZQThgEzcynz9+e9C+gqIuVFpCSmdK2RPpbJEAqbwneU382vRpwuEoNpeXRz4FPgd9+KkztKqUylVAugBtDOPB32C0RkMHBGKbXFSbVAedYhQCvgc6VUSyAJ8FcfVShwC/Crg2K/f95Kqb3AO8ASYCGwHcjwqVAGUdgUfgLZe+IawAkfyeIxSqnLFlOJUmo+UExE/Dp/ndm8sALIn0zgntEZuEVE4jCZ93qKyPe2FQLoWScACTYzqFmYOgB/ZAAQo5Q6bV8QKM9bKfWVUqqVUqorJvNrwNvvofAp/E1AfRGpbR5lDAPm+lgmtxGRKmLORi0i7TD9nRJ9K1VORKSiiESYP5cAegP7fCqUDUqpV5RSNZRSUZjeheVKqRG2dQLlWSulTgHHRKSh+VQvwN+CESwMJxdzTqA8bxGpZP6/JnA7uZunAopCFaWjlMoQkaeBRUAwMF0ptdvHYuVARGYC3YEKIpIAvInJ4YlSaipwB/CEiGQA14Bhyj9XyFUFvjVHZAQBvyilcoQ++hsiMhIC7lkDjAJ+MA9mYoGHfCxPDsw27z7A4zbnAvF5zxaR8kA68JRS6oKvBTICvdJWo9FoigiFzaSj0Wg0mlzQCl+j0WiKCFrhazQaTRFBK3yNRqMpImiFr9FoNEUErfA1GsC8jN6yg+MpETlu/nxVRP7P1/JpNEagwzI1GjtEZCxwVSk1xdeyaDRGokf4Go0TzPu3/2X+PFZEvhWRxSISJyK3i8i7IrJTRBaat4hGRFqLyEoR2SIii0Skqm+/hUZjQit8jcY96mLabnkI8D3wt1IqGtOq0UFmpf8pcIdSqjUwHXjbV8JqNLYUqq0VNJoCYIFSKl1EdmLavmOh+fxOIApoCDQFlpi3jAkGTvpATo0mB1rhazTukQqglMoSkXSbfWCyMP2eBNitlPKr9IMaDWiTjkZjNPuBipZ8syJSzE+TfGiKIFrhazQGYk6teQfwjohsB7YBnXwqlEZjRodlajQaTRFBj/A1Go2miKAVvkaj0RQRtMLXaDSaIoJW+BqNRlNE0Apfo9Foigha4Ws0Gk0RQSt8jUajKSJoha/RaDRFhP8HLwEq/SDFkYQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import librosa.display\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "y, sr = librosa.load(\n",
    "    \"/Users/gtoti/Desktop/UBC/CPSC330/cpsc330-master/lectures/data/genres/classical/classical.00001.wav\", duration=10\n",
    ")\n",
    "plt.figure()\n",
    "plt.subplot(3, 1, 1)\n",
    "librosa.display.waveshow(y, sr=sr)\n",
    "plt.title(\"Monophonic\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import IPython.display\n",
    "\n",
    "IPython.display.Audio(y, rate=sr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- I have taken a subset of the above dataset with genres and stored it in `music_genres_small`\n",
    "    - blues\n",
    "    - classical\n",
    "    - pop\n",
    "    - rock\n",
    "\n",
    "\n",
    "- Let's extract some domain-specific features called [MFCC features](https://en.wikipedia.org/wiki/Mel-frequency_cepstrum) from the above subset and store it as a CSV. I am pushing this CSV in the repo. \n",
    "- (You do not need to understand the feature extraction code below.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "data = {}\n",
    "import glob\n",
    "import ntpath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "data_dir = \"/Users/gtoti/Desktop/UBC/CPSC330/cpsc330-master/lectures/data/music_genres_small/\"\n",
    "raw_audio_X = np.empty(shape=(400, 1))\n",
    "raw_audio_y = []\n",
    "row_ind = 0\n",
    "\n",
    "for audio_file in glob.glob(data_dir + r\"*/*.wav\"):\n",
    "    y, sr = librosa.load(audio_file, mono=True, duration=30)\n",
    "    mfcc = librosa.feature.mfcc(y=y, sr=sr)\n",
    "    chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr)\n",
    "    spec_cent = librosa.feature.spectral_centroid(y=y, sr=sr)\n",
    "    spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr)\n",
    "    rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)\n",
    "    zcr = librosa.feature.zero_crossing_rate(y)\n",
    "    filename = ntpath.basename(audio_file)\n",
    "    label = filename.split(\".\")[0]\n",
    "\n",
    "    data.setdefault(\"audio_file\", []).append(filename)\n",
    "    data.setdefault(\"label\", []).append(label)\n",
    "    data.setdefault(\"chroma_stft\", []).append(np.mean(chroma_stft))\n",
    "    data.setdefault(\"spec_cent\", []).append(np.mean(spec_cent))\n",
    "    data.setdefault(\"spec_bw\", []).append(np.mean(spec_bw))\n",
    "    data.setdefault(\"rolloff\", []).append(np.mean(rolloff))\n",
    "    data.setdefault(\"zcr\", []).append(np.mean(zcr))\n",
    "\n",
    "    # Get mfcc features\n",
    "    feat_prefix = \"mfcc\"\n",
    "    ind = 1\n",
    "    for feat in mfcc:\n",
    "        key = feat_prefix + str(ind)\n",
    "        data.setdefault(key, []).append(np.mean(feat))\n",
    "        ind += 1\n",
    "    try:\n",
    "        raw_audio_X[row_ind] = np.mean(y)\n",
    "        raw_audio_y.append(label)\n",
    "    except:\n",
    "        print(\"Broadcasting problem with file %s\" % (audio_file))\n",
    "    row_ind += 1\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "df.to_csv(\"data/music_genre.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- If we just pass raw audio data to an ML model. \n",
    "- We are just taking the mean of the audio time series which won't be much meaningful in each case. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fit_time</th>\n",
       "      <th>score_time</th>\n",
       "      <th>test_score</th>\n",
       "      <th>train_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.036777</td>\n",
       "      <td>0.000763</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.261719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.261719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000559</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.265625</td>\n",
       "      <td>0.257812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>0.265625</td>\n",
       "      <td>0.257812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000516</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>0.265625</td>\n",
       "      <td>0.257812</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fit_time  score_time  test_score  train_score\n",
       "0  0.036777    0.000763    0.250000     0.261719\n",
       "1  0.000648    0.000147    0.250000     0.261719\n",
       "2  0.000559    0.000138    0.265625     0.257812\n",
       "3  0.000525    0.000133    0.265625     0.257812\n",
       "4  0.000516    0.000133    0.265625     0.257812"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_audio_y = np.asarray(raw_audio_y)\n",
    "raw_audio_y.shape\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    raw_audio_X, raw_audio_y, test_size=0.20, random_state=111\n",
    ")\n",
    "lr = LogisticRegression(solver=\"liblinear\")\n",
    "pd.DataFrame(cross_validate(lr, X_train, y_train, return_train_score=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's try it with standard domain-specific MFCC features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fit_time</th>\n",
       "      <th>score_time</th>\n",
       "      <th>test_score</th>\n",
       "      <th>train_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.021157</td>\n",
       "      <td>0.002793</td>\n",
       "      <td>0.781250</td>\n",
       "      <td>0.890625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.016975</td>\n",
       "      <td>0.001959</td>\n",
       "      <td>0.859375</td>\n",
       "      <td>0.890625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.015014</td>\n",
       "      <td>0.001803</td>\n",
       "      <td>0.781250</td>\n",
       "      <td>0.906250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.011937</td>\n",
       "      <td>0.001329</td>\n",
       "      <td>0.734375</td>\n",
       "      <td>0.910156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.011065</td>\n",
       "      <td>0.001183</td>\n",
       "      <td>0.796875</td>\n",
       "      <td>0.910156</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fit_time  score_time  test_score  train_score\n",
       "0  0.021157    0.002793    0.781250     0.890625\n",
       "1  0.016975    0.001959    0.859375     0.890625\n",
       "2  0.015014    0.001803    0.781250     0.906250\n",
       "3  0.011937    0.001329    0.734375     0.910156\n",
       "4  0.011065    0.001183    0.796875     0.910156"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "music_cvs_df = pd.read_csv(\"data/music_genre.csv\")\n",
    "music_cvs_df.columns\n",
    "X = music_cvs_df.drop(columns=[\"audio_file\", \"label\"])\n",
    "y = music_cvs_df[\"label\"]\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, test_size=0.20, random_state=111\n",
    ")\n",
    "lr = LogisticRegression(solver=\"liblinear\")\n",
    "pd.DataFrame(cross_validate(lr, X_train, y_train, return_train_score=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Much better results with domain-specific features!! \n",
    "- You could improve it further with more careful feature engineering. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Summary\n",
    "\n",
    "- Feature engineering is finding the useful representation of the data that can help us effectively solve our problem.  \n",
    "- We looked at commonly used features in text data\n",
    "    - Bag of word features \n",
    "    - N-gram features\n",
    "    - Part-of-speech features\n",
    "    - Classify music style from audio files\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Feature engineering \n",
    "\n",
    "- The best features are application-dependent.\n",
    "- It's hard to give general advice. But here are some guidelines. \n",
    "    - Ask the domain experts.\n",
    "    - Go through academic papers in the discipline. \n",
    "    - Often have idea of right discretization/standardization/transformation.\n",
    "    - If no domain expert, cross-validation will help.\n",
    "- If you have lots of data, use deep learning methods. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<blockquote>\n",
    "    The algorithms we used are very standard for Kagglers ... We spent most of our efforts in feature engineering... <br>\n",
    "- Xavier Conort, on winning the Flight Quest challenge on Kaggle    \n",
    "</blockquote>    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Break (5 min)\n",
    "\n",
    "![](img/eva-coffee.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Feature selection: Introduction and motivation "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "- With so many ways to add new features, we can increase dimensionality of the data. \n",
    "- More features means more complex models, which means increasing the chance of overfitting. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### What is feature selection?\n",
    "\n",
    "- Find the features\t(columns) $X$ that are important for predicting\t$y$, and remove the features that aren't. \n",
    "\n",
    "- Given $X = \\begin{bmatrix}x_1 & x_2 & \\dots & x_n\\\\  \\\\  \\\\  \\end{bmatrix}$ and $y = \\begin{bmatrix}\\\\  \\\\  \\\\  \\end{bmatrix}$, find the columns $1 \\leq j \\leq n$ in $X$ that are important for predicting $y$.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Why feature selection? \n",
    "\n",
    "- Interpretability: Models are more interpretable with fewer features. If you get the same performance with 10 features instead of 500 features, why not use the model with smaller number of features?     \n",
    "- Computation: Models fit/predict faster with fewer columns.\n",
    "- Data collection: What type of new data should I collect? It may be cheaper to collect fewer columns.\n",
    "- Fundamental tradeoff: Can I reduce overfitting by removing useless features?\n",
    "\n",
    "Feature selection can often result in better performing (less overfit), easier to understand, and faster model. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### How do we carry out feature selection? \n",
    "\n",
    "- There are a number of ways. \n",
    "- You could use domain knowledge to discard features. \n",
    "- We are briefly going to look at two automatic feature selection methods from `sklearn`: \n",
    "    - Model-based selection \n",
    "    - Recursive feature elimination\n",
    "    - Forward selection \n",
    "- Very related to looking at feature importances."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_breast_cancer\n",
    "\n",
    "cancer = load_breast_cancer()\n",
    "# rng = np.random.RandomState(42)\n",
    "# noise = rng.normal(size=(len(cancer.data), 50)) # Let's add some random noise in `sklearn`'s breast cancer dataset.\n",
    "# X_w_noise = np.hstack([cancer.data, noise])\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    cancer.data, cancer.target, random_state=0, test_size=0.5\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(284, 30)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fit_time       0.005436\n",
       "score_time     0.000322\n",
       "test_score     0.968233\n",
       "train_score    0.987681\n",
       "dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe_lr_all_feats = make_pipeline(StandardScaler(), LogisticRegression(max_iter=1000))\n",
    "pipe_lr_all_feats.fit(X_train, y_train)\n",
    "pd.DataFrame(\n",
    "    cross_validate(pipe_lr_all_feats, X_train, y_train, return_train_score=True)\n",
    ").mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Model-based selection\n",
    "\n",
    "- Use a supervised machine learning model to judge the importance of each feature.\n",
    "- Keep only the most important once. \n",
    "- Supervised machine learning model used for feature selection can be different that the one used as the final estimator. \n",
    "- Use a model which has some way to calculate feature importances."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- To use model-based selection, we use `SelectFromModel` transformer.\n",
    "- It selects features which have the feature importances greater than the provided threshold.\n",
    "- Below I'm using `RandomForestClassifier` for feature selection with threahold \"median\" of feature importances. \n",
    "- Approximately how many features will be selected? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.feature_selection import SelectFromModel\n",
    "\n",
    "select_rf = SelectFromModel(\n",
    "    RandomForestClassifier(n_estimators=100, random_state=42), threshold=\"median\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "We can put the feature selection transformer in a pipeline. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fit_time       0.091551\n",
       "score_time     0.007628\n",
       "test_score     0.950564\n",
       "train_score    0.974480\n",
       "dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe_lr_model_based = make_pipeline(\n",
    "    StandardScaler(), select_rf, LogisticRegression(max_iter=1000)\n",
    ")\n",
    "\n",
    "pd.DataFrame(\n",
    "    cross_validate(pipe_lr_model_based, X_train, y_train, return_train_score=True)\n",
    ").mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(284, 15)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe_lr_model_based.fit(X_train, y_train)\n",
    "pipe_lr_model_based.named_steps[\"selectfrommodel\"].transform(X_train).shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similar results with only 15 features instead of 30 features. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Recursive feature elimination (RFE)\n",
    "\n",
    "- Build a series of models\n",
    "- At each iteration, discard the least important feature according to the model. \n",
    "- Computationally expensive\n",
    "- Basic idea\n",
    "    - fit model\n",
    "    - find least important feature\n",
    "    - remove\n",
    "    - iterate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### RFE algorithm \n",
    "\n",
    "1. Decide $k$, the number of features to select. \n",
    "2. Assign importances to features, e.g. by fitting a model and looking at `coef_` or `feature_importances_`.\n",
    "3. Remove the least important feature.\n",
    "4. Repeat steps 2-3 until only $k$ features are remaining.\n",
    "\n",
    "Note that this is **not** the same as just removing all the less important features in one shot!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([16, 12, 19, 13, 23, 20, 10,  1,  9, 22,  2, 25,  5,  7, 15,  4, 26,\n",
       "       18, 21,  8,  1,  1,  1,  6, 14, 24,  3,  1, 17, 11])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import RFE\n",
    "\n",
    "# create ranking of features\n",
    "rfe = RFE(LogisticRegression(), n_features_to_select=5)\n",
    "rfe.fit(X_train_scaled, y_train)\n",
    "rfe.ranking_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Question: what was the first feature to be eliminated? And the last?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[False False False False False False False  True False False False False\n",
      " False False False False False False False False  True  True  True False\n",
      " False False False  True False False]\n"
     ]
    }
   ],
   "source": [
    "print(rfe.support_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "selected features:  ['mean concave points' 'worst radius' 'worst texture' 'worst perimeter'\n",
      " 'worst concave points']\n"
     ]
    }
   ],
   "source": [
    "print(\"selected features: \", cancer.feature_names[rfe.support_])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- How do we know what value to pass to `n_features_to_select`?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- Use `RFECV` which uses cross-validation to select number of features. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[False  True False  True False False  True  True  True False  True False\n",
      "  True  True False  True False False False  True  True  True  True  True\n",
      " False False  True  True False  True]\n",
      "['mean texture' 'mean area' 'mean concavity' 'mean concave points'\n",
      " 'mean symmetry' 'radius error' 'perimeter error' 'area error'\n",
      " 'compactness error' 'fractal dimension error' 'worst radius'\n",
      " 'worst texture' 'worst perimeter' 'worst area' 'worst concavity'\n",
      " 'worst concave points' 'worst fractal dimension']\n"
     ]
    }
   ],
   "source": [
    "from sklearn.feature_selection import RFECV\n",
    "\n",
    "rfe_cv = RFECV(LogisticRegression(max_iter=2000), cv=10)\n",
    "rfe_cv.fit(X_train_scaled, y_train)\n",
    "print(rfe_cv.support_)\n",
    "print(cancer.feature_names[rfe_cv.support_])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fit_time       2.046847\n",
       "score_time     0.011214\n",
       "test_score     0.943609\n",
       "train_score    1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfe_pipe = make_pipeline(\n",
    "    StandardScaler(),\n",
    "    RFECV(LogisticRegression(max_iter=2000), cv=10),\n",
    "    RandomForestClassifier(n_estimators=100, random_state=42),\n",
    ")\n",
    "\n",
    "pd.DataFrame(cross_validate(rfe_pipe, X_train, y_train, return_train_score=True)).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Slow because there is cross validation within cross validation \n",
    "- Not a big improvement in scores compared to all features on this toy case"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<br><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Search and score\n",
    "\n",
    "- Define a **scoring function** $f(S)$ that measures the quality of the set of features $S$. \n",
    "- Now **search** for the set of features $S$ with the best score."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### General idea of search and score methods \n",
    "\n",
    "- Example: Suppose you have three features: $A, B, C$\n",
    "    - Compute **score** for $S = \\{\\}$\n",
    "    - Compute **score** for $S = \\{A\\}$\n",
    "    - Compute **score** for $S= \\{B\\}$\n",
    "    - Compute **score** for $S = \\{C\\}$\n",
    "    - Compute **score** for $S = \\{A,B\\}$    \n",
    "    - Compute **score** for $S = \\{A,C\\}$\n",
    "    - Compute **score** for $S = \\{B,C\\}$\n",
    "    - Compute **score** for $S = \\{A,B,C\\}$    \n",
    "- Return $S$ with the best score.  \n",
    "- How many distinct combinations we have to try out? "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Forward or backward selection \n",
    "\n",
    "- Also called wrapper methods\n",
    "- Shrink or grow feature set by removing or adding one feature at a time \n",
    "- Makes the decision based on whether adding/removing the feature improves the CV score or not"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](img/forward_selection.png)\n",
    "\n",
    "<!-- <img src='img/forward_selection.png' width=\"1000\" height=\"1000\" /> -->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fit_time       9.320900\n",
       "score_time     0.011288\n",
       "test_score     0.933020\n",
       "train_score    1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SequentialFeatureSelector\n",
    "\n",
    "pipe_forward = make_pipeline(\n",
    "    StandardScaler(),\n",
    "    SequentialFeatureSelector(LogisticRegression(max_iter=1000), direction=\"forward\"),\n",
    "    RandomForestClassifier(n_estimators=100, random_state=42),\n",
    ")\n",
    "pd.DataFrame(\n",
    "    cross_validate(pipe_forward, X_train, y_train, return_train_score=True)\n",
    ").mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fit_time       11.832048\n",
       "score_time      0.011730\n",
       "test_score      0.950627\n",
       "train_score     1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe_forward = make_pipeline(\n",
    "    StandardScaler(),\n",
    "    SequentialFeatureSelector(\n",
    "        LogisticRegression(max_iter=1000), direction=\"backward\", n_features_to_select=15\n",
    "    ),\n",
    "    RandomForestClassifier(n_estimators=100, random_state=42),\n",
    ")\n",
    "pd.DataFrame(\n",
    "    cross_validate(pipe_forward, X_train, y_train, return_train_score=True)\n",
    ").mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Other ways to search \n",
    "\n",
    "- Stochastic local search\n",
    "    - Inject randomness so that we can explore new parts of the search space\n",
    "    - Simulated annealing\n",
    "    - Genetic algorithms"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Warnings about feature selection \n",
    "\n",
    "- A feature's relevance is only defined in the context of other features.\n",
    "    - Adding/removing features can make features relevant/irrelevant.\n",
    "- If features can be predicted from other features, you cannot know which one to pick. \n",
    "- Relevance for features does not have a causal relationship. \n",
    "- Don't be overconfident. \n",
    "    - The methods we have seen probably do not discover the ground truth and how the world really works.\n",
    "    - They simply tell you which features help in predicting $y_i$ for the data you have."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### (Optional) Problems with feature selection \n",
    "\n",
    "- The term 'relevance' is not clearly defined.\n",
    "- What all things can go wrong with feature selection?\n",
    "- Attribution: From CPSC 340. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Example: Is \"Relevance\" clearly defined?\n",
    "\n",
    "- Consider a supervised classification task of predicting whether someone has particular genetic variation (SNP)\n",
    "\n",
    "<img src='img/sex_mom_dad.png' width=\"600\" height=\"600\" />\n",
    "\n",
    "- True model: You almost have the same value as your biological mom."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Is \"Relevance\" clearly defined?\n",
    "\n",
    "- True model: You almost have the same value for SNP as your biological mom.\n",
    "    - (SNP = biological mom) with very high probability \n",
    "    - (SNP != biological mom) with very low probability \n",
    "    \n",
    "\n",
    "<img src='img/SNP.png' width=\"400\" height=\"400\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Is \"Relevance\" clearly defined?\n",
    "\n",
    "- What if \"mom\" feature is repeated?\n",
    "- Should we pick both? Should we pick one of them because it predicts the other? \n",
    "- Dependence, collinearity for linear models\n",
    "    - If a feature can be predicted from the other, don't know which one to pick. \n",
    "\n",
    "<img src='img/sex_mom_mom2_dad.png' width=\"600\" height=\"600\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Is \"Relevance\" clearly defined?\n",
    "\n",
    "- What if we add (maternal) \"grandma\" feature?\n",
    "- Is it relevant? \n",
    "    - We can predict SNP accurately using this feature\n",
    "- Conditional independence\n",
    "    - But grandma is irrelevant given biological mom feature\n",
    "    - Relevant features may become irrelevant given other features\n",
    "\n",
    "<img src='img/sex_mom_dad_grandma.png' width=\"600\" height=\"600\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Is \"Relevance\" clearly defined?\n",
    "\n",
    "- What if we do not know biological mom feature and we just have grandma feature\n",
    "- It becomes relevant now. \n",
    "    - Without mom feature this is the best we can do. \n",
    "    - Features can become relevant due to missing information \n",
    "\n",
    "\n",
    "<img src='img/sex_dad_grandma.png' width=\"600\" height=\"600\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Is \"Relevance\" clearly defined?\n",
    "\n",
    "- Are there any relevant features now?\n",
    "- They may have some common maternal ancestor.   \n",
    "- What if mom likes dad because they share SNP? \n",
    "- General problem (Confounding)\n",
    "    - Hidden features can make irrelevant features relevant.\n",
    "\n",
    "<img src='img/sex_dad.png' width=\"600\" height=\"600\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Is \"Relevance\" clearly defined?\n",
    "\n",
    "- Now what if we have \"sibling\" feature? \n",
    "- The feature is relevant in predicting SNP but not the cause of SNP. \n",
    "- General problem (non causality)\n",
    "    - the relevant feature may not be causal \n",
    "\n",
    "<img src='img/sex_dad_sibling.png' width=\"600\" height=\"600\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Is \"Relevance\" clearly defined?\n",
    "\n",
    "- What if you are given \"baby\" feature?\n",
    "- Now the sex feature becomes relevant. \n",
    "    - \"baby\" feature is relevant when sex == F\n",
    "    \n",
    "- General problem (context specific relevance)\n",
    "    - adding a feature can make an irrelevant feature relevant\n",
    "\n",
    "<img src='img/sex_dad_baby.png' width=\"600\" height=\"600\"/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Warnings about feature selection \n",
    "\n",
    "- A feature is only relevant in the context of other features.\n",
    "    - Adding/removing features can make features relevant/irrelevant.\n",
    "- Confounding factors can make irrelevant features the most relevant.\n",
    "- If features can be predicted from other other features, you cannot know which one to pick. \n",
    "- Relevance for features does not have a causal relationship. \n",
    "\n",
    "- Is feature selection completely hopeless?\n",
    "    - It is messy but we still need to do it. So we try to do our best! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### General advice on finding relevant features\n",
    "\n",
    "- Try forward selection. \n",
    "- Try other feature selection methods (e.g., `RFE`, simulated annealing, genetic algorithms)\n",
    "- Talk to domain experts; they probably have an idea why certain features are relevant.\n",
    "- Don't be overconfident. \n",
    "    - The methods we have seen probably do not discover the ground truth and how the world really works.\n",
    "    - They simply tell you which features help in predicting $y_i$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Relevant resources \n",
    "- [Genome-wide association study](https://en.wikipedia.org/wiki/Genome-wide_association_study)\n",
    "- [sklearn feature selection](https://scikit-learn.org/stable/modules/feature_selection.html)\n",
    "- [PyData: A Practical Guide to Dimensionality Reduction Techniques](https://www.youtube.com/watch?v=ioXKxulmwVQ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### True/False questions for class discussion \n",
    "\n",
    "1. Simple association-based feature selection approaches do not take into account the interaction between features.\n",
    "2. You can carry out feature selection using linear models by pruning the features which have very small weights (i.e., coefficients less than a threshold).\n",
    "3. Forward search is guaranteed to find the best feature set.  \n",
    "4. The order of features removed given by `rfe.ranking_` is the same as the order of original feature importances given by the model.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python [conda env:cpsc330] *",
   "language": "python",
   "name": "conda-env-cpsc330-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}