package transformers
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Type Members
- class MultiTaskStandardizer extends MultiTaskLearner
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case class
Standardizer(baseLearner: Learner) extends Learner with Product with Serializable
Standardize the training data to zero mean and unit variance before feeding it into another learner
Standardize the training data to zero mean and unit variance before feeding it into another learner
This is particularly helpful for regularized methods, like ridge regression, where the relative scale of the features and labels is important.
Created by maxhutch on 2/19/17.
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class
StandardizerModel[T] extends Model[PredictionResult[T]]
Model that wrapps the base model next to the transformations
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class
StandardizerPrediction[T] extends PredictionResult[T]
Prediction that wraps the base prediction next to the transformation
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class
StandardizerTrainingResult extends TrainingResult
Training result wrapping the base learner's training result next to the transformations
Value Members
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object
Standardizer extends Serializable
Utilities to compute and apply standarizations