Module pipeline (2.5.0)

For composing estimators together. This module is styled after scikit-learn's pipeline module: https://scikit-learn.org/stable/modules/pipeline.html .

  Pipeline 
 ( 
 steps 
 : 
 typing 
 . 
 List 
 [ 
 typing 
 . 
 Tuple 
 [ 
 str 
 , 
 bigframes 
 . 
 ml 
 . 
 base 
 . 
 BaseEstimator 
 ]]) 
 

Pipeline of transforms with a final estimator.

Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be transforms . That is, they must implement fit and transform methods. The final estimator only needs to implement fit .

The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. This simplifies code and allows for deploying an estimator and preprocessing together, e.g. with Pipeline.to_gbq(...).