Before you can start using the model CLI to automate model deployment or to perform
any other tasks, you must install the scikit-learn machine learning library for Python
through the Cloudera Machine Learning web UI.
You must perform this task through the Cloudera Machine Learning web UI.
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Create a new project with Python through the web UI.
Python provides sample files that you can use to create models using
CLI.
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To start a new session, go to the Sessions page from the
left navigation panel and click new session.
The Start the new session page is displayed.
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On Start the new session page, select Python
3 from the Engine Kernel drop-down menu,
and click Launch Session.
A new “Untitled Session” is created.
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From the input prompt, install the scikit-learn machine learning library for
Python by running the following command:
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Open the
fit.py file available within your project from the
left navigation panel.
You can use the fit.py file to create a fitted model which
creates a model.pkl file that you can use to deploy the actual
model.
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Run the
fit.py file by clicking .
The model.pkl directory is created that you can see within
your project on the left navigation pane.
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Close the session by clicking Stop.
