scikit-bonus
Contents:
License
Linear Models
skbonus
scikit-bonus
»
Index
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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O
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P
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Q
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S
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T
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Z
A
AdbudgSaturation (class in skbonus.preprocessing.saturation)
B
BoxCoxSaturation (class in skbonus.preprocessing.saturation)
C
categories_ (skbonus.pandas.preprocessing.OneHotEncoderWithNames attribute)
coef_ (skbonus.linear_model.ImbalancedLinearRegression attribute)
(skbonus.linear_model.LADRegression attribute)
(skbonus.linear_model.QuantileRegression attribute)
CyclicalEncoder (class in skbonus.preprocessing.time)
D
DateIndicator (class in skbonus.pandas.time)
DateTimeExploder (class in skbonus.pandas.preprocessing)
drop_idx_ (skbonus.pandas.preprocessing.OneHotEncoderWithNames attribute)
E
ExplainableBoostingMetaRegressor (class in skbonus.meta)
ExponentialDecaySmoother (class in skbonus.pandas.time)
ExponentialSaturation (class in skbonus.preprocessing.saturation)
F
fit() (skbonus.linear_model.QuantileRegression method)
(skbonus.meta.ExplainableBoostingMetaRegressor method)
(skbonus.meta.ZeroInflatedRegressor method)
(skbonus.pandas.preprocessing.DateTimeExploder method)
(skbonus.pandas.preprocessing.OneHotEncoderWithNames method)
(skbonus.pandas.time.DateIndicator method)
(skbonus.pandas.time.PowerTrend method)
(skbonus.pandas.time.SimpleTimeFeatures method)
(skbonus.preprocessing.saturation.Saturation method)
(skbonus.preprocessing.time.CyclicalEncoder method)
G
GeneralGaussianSmoother (class in skbonus.pandas.time)
H
HillSaturation (class in skbonus.preprocessing.saturation)
I
ImbalancedLinearRegression (class in skbonus.linear_model)
intercept_ (skbonus.linear_model.ImbalancedLinearRegression attribute)
(skbonus.linear_model.LADRegression attribute)
(skbonus.linear_model.QuantileRegression attribute)
L
LADRegression (class in skbonus.linear_model)
M
make_df_output() (in module skbonus.pandas.utils)
mean_absolute_deviation() (in module skbonus.metrics)
mean_absolute_percentage_error() (in module skbonus.metrics)
mean_arctangent_absolute_percentage_error() (in module skbonus.metrics)
mean_directional_accuracy() (in module skbonus.metrics)
mean_log_quotient() (in module skbonus.metrics)
module
skbonus
skbonus.linear_model
skbonus.meta
skbonus.metrics
skbonus.pandas
skbonus.pandas.preprocessing
skbonus.pandas.time
skbonus.pandas.utils
skbonus.preprocessing
skbonus.preprocessing.saturation
skbonus.preprocessing.time
O
OneHotEncoderWithNames (class in skbonus.pandas.preprocessing)
P
PowerTrend (class in skbonus.pandas.time)
predict() (skbonus.meta.ExplainableBoostingMetaRegressor method)
(skbonus.meta.ZeroInflatedRegressor method)
Q
QuantileRegression (class in skbonus.linear_model)
S
Saturation (class in skbonus.preprocessing.saturation)
SimpleTimeFeatures (class in skbonus.pandas.time)
skbonus
module
skbonus.linear_model
module
skbonus.meta
module
skbonus.metrics
module
skbonus.pandas
module
skbonus.pandas.preprocessing
module
skbonus.pandas.time
module
skbonus.pandas.utils
module
skbonus.preprocessing
module
skbonus.preprocessing.saturation
module
skbonus.preprocessing.time
module
symmetric_mean_absolute_percentage_error() (in module skbonus.metrics)
T
transform() (skbonus.pandas.preprocessing.DateTimeExploder method)
(skbonus.pandas.preprocessing.OneHotEncoderWithNames method)
(skbonus.pandas.time.DateIndicator method)
(skbonus.pandas.time.PowerTrend method)
(skbonus.pandas.time.SimpleTimeFeatures method)
(skbonus.preprocessing.saturation.Saturation method)
(skbonus.preprocessing.time.CyclicalEncoder method)
Z
ZeroInflatedRegressor (class in skbonus.meta)