# 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')

Returns

MiniBatchSupervisedTransformer: self

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)

Returns

Transformer: self

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)

Returns

dict: The transformed values.