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- from federatedml.param.base_param import BaseParam
- from federatedml.util import consts
- class PSIParam(BaseParam):
- def __init__(self, max_bin_num=20, need_run=True, dense_missing_val=None,
- binning_error=consts.DEFAULT_RELATIVE_ERROR):
- super(PSIParam, self).__init__()
- self.max_bin_num = max_bin_num
- self.need_run = need_run
- self.dense_missing_val = dense_missing_val
- self.binning_error = binning_error
- def check(self):
- assert isinstance(self.max_bin_num, int) and self.max_bin_num > 0, 'max bin must be an integer larger than 0'
- assert isinstance(self.need_run, bool)
- if self.dense_missing_val is not None:
- assert isinstance(self.dense_missing_val, str) or isinstance(self.dense_missing_val, int) or \
- isinstance(self.dense_missing_val, float), \
- 'missing value type {} not supported'.format(type(self.dense_missing_val))
- self.check_decimal_float(self.binning_error, "psi's param")
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