object MachineLearningModelOptions extends OptionDescriptionBuilder
Defines the options that can be used with the built in machine learning transforms in BuiltInTransforms.
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- val HANDLE_EMPTY: String
Defines how to handle missing values.
Defines how to handle missing values. See HandleEmpty.
- val HANDLE_INVALID: String
Defines how to handle invalid values.
Defines how to handle invalid values. Use 'skip' to ignore, 'error' to fail or 'keep' to consider them as a single special value.
- val MAX_CATEGORIES: String
The maximal number of categories to allow for discrete variable before excluding it from the model.
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- val NUMERICAL_COLUMNS: String
Selects numerical feature columns that should not be considered categorical, even though there are less than MAX_CATEGORIES distinct values
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- val PREDICT_COLUMN: String
The column containing the target label to predict.
- val SEED: String
A random seed to use during model training.
A random seed to use during model training. Use this do make the training more deterministic.
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- object HandleEmpty
Defines options for how to handle missing values.
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- Deprecated
(Since version 9)