sbt_feature_transformer_param¶
sbt_feature_transformer_param
¶
Classes¶
SBTTransformerParam (BaseParam)
¶
Source code in federatedml/param/sbt_feature_transformer_param.py
class SBTTransformerParam(BaseParam):
def __init__(self, dense_format=True):
"""
Parameters
----------
dense_format: bool
return data in dense vec if True, otherwise return in sparse vec
"""
super(SBTTransformerParam, self).__init__()
self.dense_format = dense_format
def check(self):
self.check_boolean(self.dense_format, 'SBTTransformer')
Methods¶
__init__(self, dense_format=True)
special
¶
Parameters:
Name | Type | Description | Default |
---|---|---|---|
dense_format |
bool |
return data in dense vec if True, otherwise return in sparse vec |
True |
Source code in federatedml/param/sbt_feature_transformer_param.py
def __init__(self, dense_format=True):
"""
Parameters
----------
dense_format: bool
return data in dense vec if True, otherwise return in sparse vec
"""
super(SBTTransformerParam, self).__init__()
self.dense_format = dense_format
check(self)
¶
Source code in federatedml/param/sbt_feature_transformer_param.py
def check(self):
self.check_boolean(self.dense_format, 'SBTTransformer')
Last update: 2021-11-24