from measure import measure_encoder from category_encoders import BinaryEncoder measure_encoder(BinaryEncoder, save_results=True)
from measure import measure_encoder from category_encoders import BaseNEncoder measure_encoder(BaseNEncoder, save_results=True)
from measure import measure_encoder from category_encoders import TargetEncoder measure_encoder(TargetEncoder, save_results=True)
from measure import measure_encoder
from category_encoders import CountEncoder
class RobustCountEncoder:
def __init__(self, cols=None):
self.nominal_cols = cols
def fit(self, X, y=None):
self.encoder = CountEncoder(cols=self.nominal_cols).fit(X, y)
return self
def transform(self, X):
X = self.encoder.transform(X)
X = X.fillna(0)
return X
measure_encoder(RobustCountEncoder, 'CountEncoder', save_results=True)
from measure import measure_encoder
class DropEncoder:
def __init__(self, cols=None):
self.drop_cols=cols
def fit(self, X, y=None):
return self
def transform(self, X):
return X.drop(columns=self.drop_cols)
measure_encoder(DropEncoder, save_results=True)
from measure import measure_encoder from category_encoders import LeaveOneOutEncoder measure_encoder(LeaveOneOutEncoder, save_results=True)
from measure import measure_encoder
from category_encoders import PolynomialEncoder
class RobustPolynomialEncoder:
def __init__(self, cols=None):
self.nominal_cols=cols
def fit(self, X, y=None):
self.encoder = PolynomialEncoder(cols=self.nominal_cols).fit(X,y)
return self
def transform(self, X):
X = self.encoder.transform(X)
X = X.fillna(0)
return X
measure_encoder(RobustPolynomialEncoder, 'PolynomialEncoder', save_results=True)
from measure import measure_encoder from category_encoders import BackwardDifferenceEncoder measure_encoder(BackwardDifferenceEncoder, save_results=True)
from measure import measure_encoder from category_encoders import JamesSteinEncoder measure_encoder(JamesSteinEncoder, save_results=True)
from measure import measure_encoder from category_encoders import GLMMEncoder measure_encoder(GLMMEncoder, save_results=True)
from measure import measure_encoder from category_encoders import SumEncoder metrics = measure_encoder(SumEncoder, save_results=True)
from measure import measure_encoder from category_encoders import CatBoostEncoder measure_encoder(CatBoostEncoder, save_results=True)
from measure import measure_encoder from category_encoders import HashingEncoder measure_encoder(HashingEncoder, save_results=True)
from measure import measure_encoder from category_encoders import MEstimateEncoder measure_encoder(MEstimateEncoder, save_results=True)
from measure import measure_encoder from category_encoders import OneHotEncoder measure_encoder(OneHotEncoder, save_results=True)
