I want to create pipeline which will inverse transform the y variable after model prediction

I have 3 pickle files:

• X variable scalar transform pre fitted object :-X sclr
• Y variable scalar transform pre fitted object :-Y sclr
• svr model object:- model

I imported it to python and now I want create pipeline using this file where input data will get scalar transformed by Xsclr parameter----> then model prediction will happen and then output of model will get inverse transformed using Y sclr object parameter

The implementation would look like

from sklearn.pipeline import Pipeline
pipe = Pipeline(steps=[(StandardScaler(), Xsclr),
                       (SVR(), model),
                       (InverseTransformer(), Ysclr)]
)

I want to create pipeline which will inverse transform the y variable after model prediction

I have 3 pickle files:

• X variable scalar transform pre fitted object :-X sclr
• Y variable scalar transform pre fitted object :-Y sclr
• svr model object:- model

I imported it to python and now I want create pipeline using this file where input data will get scalar transformed by Xsclr parameter----> then model prediction will happen and then output of model will get inverse transformed using Y sclr object parameter

The implementation would look like

from sklearn.pipeline import Pipeline
pipe = Pipeline(steps=[(StandardScaler(), Xsclr),
                       (SVR(), model),
                       (InverseTransformer(), Ysclr)]
)

I actually I wants to convert this pipeline to ONNX format... Afterwords.

I want to create pipeline which will inverse transform the y variable after model prediction

I have 3 pickle files X variable scalar transform pre fitted object :-X sclr Y variable scalar transform pre fitted object :-Y sclr svr model object:- model

I imported it to python and now I want create pipeline using this file

  where input data will get scalar transformed by Xsclr parameter----> then model prediction will happen and then output of model will get inverse transformed using Y sclr object parameter

something like this from sklearn.pipeline import Pipeline pipe = Pipeline(steps=[('x scale', Xsclr ), ('svr model object', model)] (''inverse transform y variable',Ysclr) )

I want to create pipeline which will inverse transform the y variable after model prediction

I have 3 pickle files:

• X variable scalar transform pre fitted object :-X sclr
• Y variable scalar transform pre fitted object :-Y sclr
• svr model object:- model

I imported it to python and now I want create pipeline using this file where input data will get scalar transformed by Xsclr parameter----> then model prediction will happen and then output of model will get inverse transformed using Y sclr object parameter

The implementation would look like

from sklearn.pipeline import Pipeline
pipe = Pipeline(steps=[(StandardScaler(), Xsclr),
                       (SVR(), model),
                       (InverseTransformer(), Ysclr)]
)