CML_iot_demo

example of using logistic regression and keras to find pattern in synthetic dataset
(c) Copyright 2019 Martin Lurie all rights reserved

Instructions

Open up Cloudera Machine Learing
Create a new project, give it a name, and select git and use this url https://github.com/git4impatient/CML_iot_demo
Open the workbench and create a python2 session - required for TensorFlow/Keras
Run the three pip-install commands
Stop and restart the session
Open a command line terminal and run the data generator ./goLocalFile
In your workbench session click "run all" and you're good to go

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
100Edge2AI.py		100Edge2AI.py
110localEdge2AI.py		110localEdge2AI.py
200deployModel.py		200deployModel.py
JupyterS3Hive.ipynb		JupyterS3Hive.ipynb
README.md		README.md
genNormalDistrib.py		genNormalDistrib.py
goGenData		goGenData
goLocalFile		goLocalFile
modelRESTapi.sh		modelRESTapi.sh
pubmqtt.py		pubmqtt.py
spark-defaults.conf		spark-defaults.conf
sqlstuff		sqlstuff
startEFM		startEFM