mlens.parallel.single_run module¶

ML-ENSEMBLE

author:	Sebastian Flennerhag
copyright:	2017
licence:	MIT

Estimation engine for parallel preprocessing of estimators in a single run, such as when fitting a final layer (meta estimator) that does not require propagating predictions.

class mlens.parallel.single_run.SingleRun(job, layer)[source]¶

Bases: mlens.parallel.estimation.BaseEstimator

Single run fit sub-process class.

Class for fitting a estimators in a layer without any sub-fits.

run(parallel)[source]¶: Execute blending.