Skip to content

MiniBatchSupervisedTransformer

A supervised transformer that can operate on mini-batches.

Methods

learn_many

Update the model with a mini-batch of features X and targets y.

Parameters

  • X — 'pd.DataFrame'
  • y — 'pd.Series'

learn_one

Update with a set of features x.

A lot of transformers don't actually have to do anything during the learn_one step because they are stateless. For this reason the default behavior of this function is to do nothing. Transformers that however do something during the learn_one can override this method.

Parameters

  • x — 'dict[base.typing.FeatureName, Any]'

transform_many

Transform a mini-batch of features.

Parameters

  • X — 'pd.DataFrame'

Returns

pd.DataFrame: A new DataFrame.

transform_one

Transform a set of features x.

Parameters

  • x — 'dict[base.typing.FeatureName, Any]'

Returns

dict[base.typing.FeatureName, Any]: The transformed values.