models | Manage files and libs in User Environment | Open Analytics Framework - models

Use the models class property to see a list of models installed in the remote user environment.

This function does not have parameter and returns pandas DataFrame containing models and their details.

Example 1: models property for Python environment

Create a remote Python user environment.

>>> env = create_env('testenv', 'python_3.8.13', 'Test environment')

User environment testenv created.

Define the model file.
Create a zip file containing all files related to model and use the path to that zip file to install model using install_model API.
In this example, assume that all models files are zipped under 'large_model.zip'
```
>>> model = 'large_model.zip'
```

Install the model in the 'testenv' environment.

>>> env.install_model(model_path = model)

Request for install_model is completed successfully.
                               Claim Id  File/Libs/Model    Method Name               Stage             Timestamp  Additional Details
0  70ba8bb6-9c0b-41f1-af44-5fd1b9e31c7d  large_model.zip  install_model  Endpoint Generated  2023-10-31T07:34:21Z
1  70ba8bb6-9c0b-41f1-af44-5fd1b9e31c7d  large_model.zip  install_model       File Uploaded  2023-10-31T07:35:37Z
2  70ba8bb6-9c0b-41f1-af44-5fd1b9e31c7d  large_model.zip  install_model      File Installed  2023-10-31T07:35:38Z

List models installed in the user environment.

>>> env.models

         Model  Size             Timestamp
0  large_model  6144  2023-10-31T07:35:38Z

models | Manage files and libs in User Environment | Open Analytics Framework - models - Teradata VantageCloud Lake

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Example 1: models property for Python environment