secretflow.ml.boost.sgb_v.factory.components.data_preprocessor

Classes:

DataPreprocessor()

class secretflow.ml.boost.sgb_v.factory.components.data_preprocessor.DataPreprocessor

Bases: Component

Methods:

__init__()
show_params()
set_params(_)
get_params(_)
set_devices(_)
validate(dataset, label)

__init__() → None

show_params()

set_params(_)

get_params(_)

set_devices(_)

validate(dataset, label) → Tuple[FedNdarray, Tuple[int, int], PYUObject, Tuple[int, int]]

secretflow.ml.boost.sgb_v.factory.components.data_preprocessor.data_preprocessor

Functions:

prepare_dataset(ds)

check data setting and get total shape.

Classes:

DataPreprocessor()

secretflow.ml.boost.sgb_v.factory.components.data_preprocessor.data_preprocessor.prepare_dataset(ds: Union[FedNdarray, VDataFrame]) → Tuple[FedNdarray, Tuple[int, int]]

check data setting and get total shape.

Parameters:

ds – input dataset

Returns:

dataset in unified type Second: shape concat all partition.

Return type:

First

class secretflow.ml.boost.sgb_v.factory.components.data_preprocessor.data_preprocessor.DataPreprocessor

Bases: Component

Methods:

__init__()
show_params()
set_params(_)
get_params(_)
set_devices(_)
validate(dataset, label)

__init__() → None

show_params()

set_params(_)

get_params(_)

set_devices(_)

validate(dataset, label) → Tuple[FedNdarray, Tuple[int, int], PYUObject, Tuple[int, int]]