From 65ac046fae335c3ea8bd0418e60dd0363bfbd1fb Mon Sep 17 00:00:00 2001
From: Peter Krejzl <peter.krejzl@krejzlp-2.local>
Date: Tue, 24 Dec 2019 09:23:26 +0100
Subject: [PATCH] fixed wrong cell order

---
 3-logreg-nb-imdb.ipynb | 54 +++++++++++++++++++-----------------------
 1 file changed, 24 insertions(+), 30 deletions(-)

diff --git a/3-logreg-nb-imdb.ipynb b/3-logreg-nb-imdb.ipynb
index 8735a6f..27b6423 100644
--- a/3-logreg-nb-imdb.ipynb
+++ b/3-logreg-nb-imdb.ipynb
@@ -2141,9 +2141,7 @@
   {
    "cell_type": "code",
    "execution_count": 189,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2842,6 +2840,16 @@
     "negative = y.c2i['negative']"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 289,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p1 = np.squeeze(np.asarray(x[y.items==positive].sum(0)))\n",
+    "p0 = np.squeeze(np.asarray(x[y.items==negative].sum(0)))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 284,
@@ -2862,6 +2870,15 @@
     "len(p1), len(p0)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 291,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "v = movie_reviews.vocab"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 285,
@@ -2949,16 +2966,6 @@
     "For each word in our vocabulary, we are summing up how many positive reviews it is in, and how many negative reviews."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 289,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p1 = np.squeeze(np.asarray(x[y.items==positive].sum(0)))\n",
-    "p0 = np.squeeze(np.asarray(x[y.items==negative].sum(0)))"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 290,
@@ -2979,15 +2986,6 @@
     "p1[:10]"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 291,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "v = movie_reviews.vocab"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -6770,9 +6768,7 @@
   {
    "cell_type": "code",
    "execution_count": 236,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -6824,9 +6820,7 @@
   {
    "cell_type": "code",
    "execution_count": 251,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -7062,9 +7056,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.7.4"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }