pasteur.extras.transformers.IdxTransformer

class pasteur.extras.transformers.IdxTransformer(unknown_value=None, nullable=False, **_)

Transforms categorical values of any type into integer based values.

If the values are sortable, they will have adjacent integer values

Attributes

deterministic	For a given output, the input is the same.
lossless	The decoded output equals the input.
name
stateful	Transformer fits variables.

Methods

fit(data)	Fits to the provided data
fit_transform(data)	rtype: DataFrame
get_attributes()	rtype: Mapping[str | tuple[str], Attribute]
get_factory(*args, **kwargs)	Returns a factory that registers this module to the system.
reduce(other)
reverse(data)	rtype: Series
transform(data)	rtype: DataFrame

deterministic = True

For a given output, the input is the same.

fit(data)

Fits to the provided data

fit_transform(data)

Return type:

DataFrame

get_attributes()

Return type:

Mapping[str | tuple[str], Attribute]

classmethod get_factory(*args, **kwargs)

Returns a factory that registers this module to the system.

Any *args and **kwargs passed to this function will be saved and passed to the module’s __init__() method when calling build().

lossless = True

The decoded output equals the input.

name: str = 'categorical'

reduce(other)

reverse(data)

Return type:

Series

stateful = True

Transformer fits variables.

transform(data)

Return type:

DataFrame