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

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
```

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Example Setup