Example 5 Setup: Early Stopping Methods in Hyperparameter Tunning | teradataml - Example 5 Setup - Teradata Vantage

The following setup steps apply to all examples for Example 5: Early Stopping Methods in Hyperparameter Tunning.

Example Setup

• Load example dataset iris data from teradataml.

  >>> load_example_data('teradataml','iris_input')

• Create teradataml DataFrame.

  >>> df = DataFrame.from_table('iris_input')

• Scale "target_columns" with respect to 'Range' value of the column.

  >>> scale_fit = ScaleFit(data=df,
                           target_columns=['sepal_length', 'sepal_width', 'petal_length', 'petal_width'],
                           scale_method="Range")

• Transform the data.

  >>> scale_transform = ScaleTransform(data=df,
                                       object=scale_fit.output,
                                       accumulate=["id", "species"])

• Create data for training.

  >>> data = scale_transform.result