Initial release commit

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# AMP
+data/working/*
+apps/reports/*
+

.project-metadata.yaml

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+name: Continuous Model Monitoring
+description: >-
+  Demonstration of how to perform continuous model monitoring on CML 
+  using Model Metrics and Evidently.ai dashboards
+author: Cloudera Inc.
+specification_version: 1.0
+prototype_version: 1.0
+date: "2021-12-01"
+
+environment_variables:
+  DEV_MODE:
+    default: false
+    description: >-
+      Flag to indicate if the AMP should run on a 5% sample of the dataset 
+      (true) to facilitate efficient project development or the full dataset (false).
+    required: True
+
+feature_dependencies:
+  - model_metrics
+
+runtimes:
+  - editor: Workbench
+    kernel: Python 3.6
+    edition: Standard
+
+engine_images:
+  - image_name: engine
+
+tasks:
+  - type: run_session
+    name: Install Dependencies
+    script: scripts/install_dependencies.py
+    kernel: python3
+    memory: 2
+    cpu: 1
+
+  - type: run_session
+    name: Prepare Data
+    script: scripts/prepare_data.py
+    kernel: python3
+    memory: 2
+    cpu: 1
+
+  - type: run_session
+    name: Train Model
+    script: scripts/train.py
+    kernel: python3
+    memory: 4
+    cpu: 2
+
+  - type: create_model
+    name: Price Regressor
+    entity_label: pr_model
+    description: Predict housing prices with ridge regression
+    access_key_environment_variable: SHTM_ACCESS_KEY
+    default_resources:
+      cpu: 1
+      memory: 2
+    default_replication_policy:
+      type: fixed
+      num_replicas: 1
+
+  - type: build_model
+    name: Price Regressor
+    entity_label: pr_model
+    target_file_path: scripts/predict.py
+    target_function_name: predict
+    kernel: python3
+    examples:
+      - request:
+          {
+            "record":
+              {
+                "id": 1962200037,
+                "price": 626000,
+                "bedrooms": 3,
+                "bathrooms": 2.25,
+                "sqft_living": 1750,
+                "sqft_lot": 1572,
+                "floors": 2.5,
+                "waterfront": 0,
+                "view": 0,
+                "condition": 3,
+                "grade": 9,
+                "sqft_above": 1470,
+                "sqft_basement": 280,
+                "yr_built": 2005,
+                "yr_renovated": 0,
+                "zipcode": 98102,
+                "lat": 47.6498,
+                "long": -122.321,
+                "sqft_living15": 2410,
+                "sqft_lot15": 3050,
+                "date_sold": "2014-05-02",
+                "date_listed": "2014-03-04",
+              },
+          }
+
+  - type: deploy_model
+    name: Price Regressor
+    entity_label: pr_model
+
+  - type: run_session
+    name: Run Simulation
+    script: scripts/simulate.py
+    kernel: python3
+    memory: 4
+    cpu: 2