homo_onehot_encoder_param

homo_onehot_encoder_param

Classes

HomoOneHotParam (BaseParam)

Parameters

list or int, default: -1

Specify which columns need to calculated. -1 represent for all columns.

bool, default True

Indicate if this module needed to be run

bool, default True

Indicated whether alignment of features is turned on

Source code in federatedml/param/homo_onehot_encoder_param.py

class HomoOneHotParam(BaseParam):
    """

    Parameters
    ----------

    transform_col_indexes: list or int, default: -1
        Specify which columns need to calculated. -1 represent for all columns.

    need_run: bool, default True
        Indicate if this module needed to be run

    need_alignment: bool, default True
        Indicated whether alignment of features is turned on

    """

    def __init__(self, transform_col_indexes=-1, transform_col_names=None, need_run=True, need_alignment=True):
        super(HomoOneHotParam, self).__init__()
        if transform_col_names is None:
            transform_col_names = []
        self.transform_col_indexes = transform_col_indexes
        self.transform_col_names = transform_col_names
        self.need_run = need_run
        self.need_alignment = need_alignment

    def check(self):
        descr = "One-hot encoder with alignment param's"
        self.check_defined_type(self.transform_col_indexes, descr, ['list', 'int'])
        self.check_boolean(self.need_run, descr)
        self.check_boolean(self.need_alignment, descr)
        return True

__init__(self, transform_col_indexes=-1, transform_col_names=None, need_run=True, need_alignment=True) special

Source code in federatedml/param/homo_onehot_encoder_param.py

def __init__(self, transform_col_indexes=-1, transform_col_names=None, need_run=True, need_alignment=True):
    super(HomoOneHotParam, self).__init__()
    if transform_col_names is None:
        transform_col_names = []
    self.transform_col_indexes = transform_col_indexes
    self.transform_col_names = transform_col_names
    self.need_run = need_run
    self.need_alignment = need_alignment

check(self)

Source code in federatedml/param/homo_onehot_encoder_param.py

def check(self):
    descr = "One-hot encoder with alignment param's"
    self.check_defined_type(self.transform_col_indexes, descr, ['list', 'int'])
    self.check_boolean(self.need_run, descr)
    self.check_boolean(self.need_alignment, descr)
    return True

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Last update: 2022-07-07