How to save ColumnTransfers ( scaler , one hot encoder , imputer..etc) for later predictions












-1















How to Save scalers and encoders for later use on prediction



I tried to save and load a model.
But got KeyError: 0 when tried to load it



cat_steps = Pipeline([
('si', SimpleImputer(strategy='constant', fill_value='MISSING')),
('imputer', SimpleImputer(strategy='constant', fill_value='missing')),
('ohehot', OneHotEncoder(sparse=False, handle_unknown='ignore'))
])
categoricalColumns = ['advCode','advisorAge','Totalbonus']

num_steps = Pipeline([
('imputer', SimpleImputer(strategy='median')),
('scaler', StandardScaler()) ])
numericalColumns = ['height',"weight"]

preprocessor = ColumnTransformer(transformers=[('num', num_steps, numericalColumns),
('cat', cat_steps, categoricalColumns)])

X_train = preprocessor.fit_transform(X_train)

from sklearn.externals import joblib
joblib.dump(preprocessor, 'myfile.pkl')

preprocessor = load('filename.pkl')









share|improve this question

























  • I dont think that error is related to saving or loading. Show the full stack trace of error along with the code that is producing it.

    – Vivek Kumar
    yesterday
















-1















How to Save scalers and encoders for later use on prediction



I tried to save and load a model.
But got KeyError: 0 when tried to load it



cat_steps = Pipeline([
('si', SimpleImputer(strategy='constant', fill_value='MISSING')),
('imputer', SimpleImputer(strategy='constant', fill_value='missing')),
('ohehot', OneHotEncoder(sparse=False, handle_unknown='ignore'))
])
categoricalColumns = ['advCode','advisorAge','Totalbonus']

num_steps = Pipeline([
('imputer', SimpleImputer(strategy='median')),
('scaler', StandardScaler()) ])
numericalColumns = ['height',"weight"]

preprocessor = ColumnTransformer(transformers=[('num', num_steps, numericalColumns),
('cat', cat_steps, categoricalColumns)])

X_train = preprocessor.fit_transform(X_train)

from sklearn.externals import joblib
joblib.dump(preprocessor, 'myfile.pkl')

preprocessor = load('filename.pkl')









share|improve this question

























  • I dont think that error is related to saving or loading. Show the full stack trace of error along with the code that is producing it.

    – Vivek Kumar
    yesterday














-1












-1








-1








How to Save scalers and encoders for later use on prediction



I tried to save and load a model.
But got KeyError: 0 when tried to load it



cat_steps = Pipeline([
('si', SimpleImputer(strategy='constant', fill_value='MISSING')),
('imputer', SimpleImputer(strategy='constant', fill_value='missing')),
('ohehot', OneHotEncoder(sparse=False, handle_unknown='ignore'))
])
categoricalColumns = ['advCode','advisorAge','Totalbonus']

num_steps = Pipeline([
('imputer', SimpleImputer(strategy='median')),
('scaler', StandardScaler()) ])
numericalColumns = ['height',"weight"]

preprocessor = ColumnTransformer(transformers=[('num', num_steps, numericalColumns),
('cat', cat_steps, categoricalColumns)])

X_train = preprocessor.fit_transform(X_train)

from sklearn.externals import joblib
joblib.dump(preprocessor, 'myfile.pkl')

preprocessor = load('filename.pkl')









share|improve this question
















How to Save scalers and encoders for later use on prediction



I tried to save and load a model.
But got KeyError: 0 when tried to load it



cat_steps = Pipeline([
('si', SimpleImputer(strategy='constant', fill_value='MISSING')),
('imputer', SimpleImputer(strategy='constant', fill_value='missing')),
('ohehot', OneHotEncoder(sparse=False, handle_unknown='ignore'))
])
categoricalColumns = ['advCode','advisorAge','Totalbonus']

num_steps = Pipeline([
('imputer', SimpleImputer(strategy='median')),
('scaler', StandardScaler()) ])
numericalColumns = ['height',"weight"]

preprocessor = ColumnTransformer(transformers=[('num', num_steps, numericalColumns),
('cat', cat_steps, categoricalColumns)])

X_train = preprocessor.fit_transform(X_train)

from sklearn.externals import joblib
joblib.dump(preprocessor, 'myfile.pkl')

preprocessor = load('filename.pkl')






keras scikit-learn






share|improve this question















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edited yesterday









AI_Learning

2,8482730




2,8482730










asked yesterday









Noob CoderNoob Coder

113




113













  • I dont think that error is related to saving or loading. Show the full stack trace of error along with the code that is producing it.

    – Vivek Kumar
    yesterday



















  • I dont think that error is related to saving or loading. Show the full stack trace of error along with the code that is producing it.

    – Vivek Kumar
    yesterday

















I dont think that error is related to saving or loading. Show the full stack trace of error along with the code that is producing it.

– Vivek Kumar
yesterday





I dont think that error is related to saving or loading. Show the full stack trace of error along with the code that is producing it.

– Vivek Kumar
yesterday












0






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