Class LabelEncoder (0.6.0)

LabelEncoder(
    min_frequency: typing.Optional[int] = None,
    max_categories: typing.Optional[int] = None,
)

Encode target labels with value between 0 and n_classes-1.

This transformer should be used to encode target values, i.e. y, and not the input X.

Parameters

NameDescription
min_frequency Optional[int], default None

Specifies the minimum frequency below which a category will be considered infrequent. Default None. int: categories with a smaller cardinality will be considered infrequent as ßindex 0.

max_categories Optional[int], default None

Specifies an upper limit to the number of output features for each input feature when considering infrequent categories. If there are infrequent categories, max_categories includes the category representing the infrequent categories along with the frequent categories. Default None, set limit to 1,000,000.

Methods

__repr__

__repr__()

Print the estimator's constructor with all non-default parameter values

fit

fit(
    y: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series]
) -> bigframes.ml.preprocessing.LabelEncoder

Fit label encoder.

Parameter
NameDescription
y bigframes.dataframe.DataFrame or bigframes.series.Series

The DataFrame or Series with training data.

Returns
TypeDescription
LabelEncoderFitted encoder.

fit_transform

fit_transform(
    y: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series]
) -> bigframes.dataframe.DataFrame

API documentation for fit_transform method.

get_params

get_params(deep: bool = True) -> typing.Dict[str, typing.Any]

Get parameters for this estimator.

Parameter
NameDescription
deep bool, default True

Default True. If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns
TypeDescription
DictionaryA dictionary of parameter names mapped to their values.

transform

transform(
    y: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series]
) -> bigframes.dataframe.DataFrame

Transform y using label encoding.

Parameter
NameDescription
y bigframes.dataframe.DataFrame or bigframes.series.Series

The DataFrame or Series to be transformed.

Returns
TypeDescription
bigframes.dataframe.DataFrameThe result is an array-like of values.