classifier (called classifierfigure - overview of the pipeline training and prediction process the pipeline is actually even more general than this there is no requirement for the last step in pipeline to have predict functionand we could create pipeline just containingfor examplea scaler and pca thenbecause the last step (pcahas transform methodwe could call transform on the pipeline to get the output of pca transform applied to the data that was processed by the previous step the last step of pipeline is only required to have fit method convenient pipeline creation with make_pipeline creating pipeline using the syntax described earlier is sometimes bit cumbersomeand we often don' need user-specified names for each step there is convenience functionmake_pipelinethat will create pipeline for us and automatically name each step based on its class the syntax for make_pipeline is as followsin[ ]from sklearn pipeline import make_pipeline standard syntax pipe_long pipeline([("scaler"minmaxscaler())("svm"svc( = ))]abbreviated syntax pipe_short make_pipeline(minmaxscaler()svc( = )the general pipeline interface