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Grouper

Applies a transformer within different groups.

This transformer allows you to split your data into groups and apply a transformer within each group. This happens in a streaming manner, which means that the groups are discovered online. A separate copy of the provided transformer is made whenever a new group appears. The groups are defined according to one or more keys.

Parameters

  • transformer

    Typebase.Transformer

  • by

    Typebase.typing.FeatureName | list[base.typing.FeatureName]

    The field on which to group the data. This can either by a single value, or a list of values.

Methods

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_one

Transform a set of features x.

Parameters

  • x'dict'

Returns

dict: The transformed values.