Python BucketBinning.fit_split_points Examples

Example #1

 def test_bucket_binning(self):
     bin_param = FeatureBinningParam(bin_num=self.bin_num, cols=self.cols)
     bucket_bin = BucketBinning(bin_param)
     split_points = bucket_bin.fit_split_points(self.table)
     split_point = list(split_points.values())[0]
     for kth, s_p in enumerate(split_point):
         expect_s_p = (self.data_num - 1) / self.bin_num * (kth + 1)
         self.assertEqual(s_p, expect_s_p)
     iv_attrs = bucket_bin.cal_local_iv(self.table)
     for col_name, iv_attr in iv_attrs.items():
         print('col_name: {}, iv: {}, woe_array: {}'.format(
             col_name, iv_attr.iv, iv_attr.woe_array))

Example #2

File: bucket_binning_test.py Project: zhch8888168/FATE

 def test_bucket_binning(self):
     bin_param = FeatureBinningParam(bin_num=self.bin_num,
                                     bin_indexes=self.cols)
     bucket_bin = BucketBinning(bin_param)
     split_points = bucket_bin.fit_split_points(self.table)
     split_point = list(split_points.values())[0]
     for kth, s_p in enumerate(split_point):
         expect_s_p = (self.data_num - 1) / self.bin_num * (kth + 1)
         self.assertEqual(s_p, expect_s_p)
     bucket_bin.cal_local_iv(self.table)
     for col_name, iv_attr in bucket_bin.bin_results.all_cols_results.items(
     ):
         # print('col_name: {}, iv: {}, woe_array: {}'.format(col_name, iv_attr.iv, iv_attr.woe_array))
         assert abs(iv_attr.iv - 0.00364386529386804) < 1e-6

Example #3

File: bucket_binning_test.py Project: pangzx1/FL1.0

 def test_bucket_binning(self):
     bin_param = FeatureBinningParam(bin_num=self.bin_num, cols=self.cols)
     bucket_bin = BucketBinning(bin_param)
     split_points = bucket_bin.fit_split_points(self.table)
     print(split_points)