AutoMLTransformer class

Definition

Base logger class for all the transformers.

AutoMLTransformer(*args, **kwargs)
Inheritance
builtins.object
sklearn.base.BaseEstimator
AutoMLTransformer
builtins.object
sklearn.base.TransformerMixin
AutoMLTransformer

Methods

get_memory_footprint(X: typing.Union[numpy.ndarray, pandas.core.frame.DataFrame, scipy.sparse.base.spmatrix, azureml.dataprep.api.dataflow.Dataflow], y: typing.Union[numpy.ndarray, pandas.core.series.Series, pandas.core.arrays.categorical.Categorical, azureml.dataprep.api.dataflow.Dataflow]) -> int

Obtain memory footprint by adding this featurizer.

transform(X: typing.Union[numpy.ndarray, pandas.core.frame.DataFrame, scipy.sparse.base.spmatrix, azureml.dataprep.api.dataflow.Dataflow]) -> numpy.ndarray

get_memory_footprint(X: typing.Union[numpy.ndarray, pandas.core.frame.DataFrame, scipy.sparse.base.spmatrix, azureml.dataprep.api.dataflow.Dataflow], y: typing.Union[numpy.ndarray, pandas.core.series.Series, pandas.core.arrays.categorical.Categorical, azureml.dataprep.api.dataflow.Dataflow]) -> int

Obtain memory footprint by adding this featurizer.

get_memory_footprint(X: typing.Union[numpy.ndarray, pandas.core.frame.DataFrame, scipy.sparse.base.spmatrix, azureml.dataprep.api.dataflow.Dataflow], y: typing.Union[numpy.ndarray, pandas.core.series.Series, pandas.core.arrays.categorical.Categorical, azureml.dataprep.api.dataflow.Dataflow]) -> int

Parameters

X

Input data.

y

Input label.

Returns

Amount of memory taken in bytes.

transform(X: typing.Union[numpy.ndarray, pandas.core.frame.DataFrame, scipy.sparse.base.spmatrix, azureml.dataprep.api.dataflow.Dataflow]) -> numpy.ndarray

transform(X: typing.Union[numpy.ndarray, pandas.core.frame.DataFrame, scipy.sparse.base.spmatrix, azureml.dataprep.api.dataflow.Dataflow]) -> numpy.ndarray

Attributes

operator_name

Operator name for the engineering feature names.

transformer_name

Transform function name for the engineering feature names.

is_distributable

is_distributable = False

is_separable

is_separable = False