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prepare to enable sample weights #25

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Merged
merged 18 commits into from
Feb 24, 2020
Merged

prepare to enable sample weights #25

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d77e0ee
add one hot encoder for discrete values
somefreestring Feb 4, 2020
6e8dcfb
add kwargs to multi model
somefreestring Feb 9, 2020
9282d1e
add magic seed to train/test split
somefreestring Feb 10, 2020
75ea575
fix lazy dataframe
somefreestring Feb 10, 2020
1ca951c
add control over age of test data split
somefreestring Feb 10, 2020
670d81e
allow multi model with different kwargs per target
somefreestring Feb 10, 2020
abad8ff
add kwargs to encoders
somefreestring Feb 10, 2020
541cc2f
add target kwargs for multi model
somefreestring Feb 11, 2020
af4d25d
add raw dataframe to f&l extractor
somefreestring Feb 11, 2020
f82412b
refactored the train / test data splitting quite a bit and prepare da…
somefreestring Feb 12, 2020
d5de955
add weights to model.fit
somefreestring Feb 12, 2020
a67c279
fix decoder for multitarget encoder
somefreestring Feb 12, 2020
cfb4f10
use sample weights in keras model
somefreestring Feb 12, 2020
b7aa859
fix sample weights to default None
somefreestring Feb 12, 2020
a9d8127
simplify joined kwargs
somefreestring Feb 13, 2020
03266ac
improve data frame utils
somefreestring Feb 15, 2020
038dcff
fix multimodel
somefreestring Feb 17, 2020
183cd1f
allow numpy arras as label column (multi dimensonal labels i.e. GAF e…
somefreestring Feb 24, 2020
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fix decoder for multitarget encoder
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@somefreestring
somefreestring committed Feb 12, 2020
commit a67c27983bc1a791c177f6b0f90c0ec844e38140
9 changes: 6 additions & 3 deletions pandas_ml_utils/model/features_and_labels/target_encoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,7 @@ def labels_source_columns(self) -> List[str]:

@property
def encoded_labels_columns(self) -> List[str]:
[l for enc in self.target_labels.values() for l in enc.encoded_labels_columns]
return [l for enc in self.target_labels.values() for l in enc.encoded_labels_columns]

def encode(self, df: pd.DataFrame, **kwargs) -> pd.DataFrame:
df_labels = pd.DataFrame({}, index=df.index)
Expand All @@ -81,8 +81,11 @@ def encode(self, df: pd.DataFrame, **kwargs) -> pd.DataFrame:
return df_labels

def decode(self, df: pd.DataFrame) -> pd.DataFrame:
# FIXME
pass
df_labels = pd.DataFrame({}, index=df.index)
for target, enc in self.target_labels.items():
df_labels = df_labels.join(enc.decode(df), how='inner', rsuffix=f'_{target}')

return df_labels

def __len__(self):
sum([len(enc) for enc in self.target_labels.values()])
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