API

The API help information in this page is autogenerated from comments in the source.

The packages include:

  • elm.readers, a collection of tools for reading HDF4, HDF5, NetCDF and GeoTiff files and directories of files
  • elm.pipeline, the public interface for ensemble learning models (elm) and its Pipeline class for preprocessing transform steps before fitting in ensemble or in an evolutionary algorithm
  • elm.model_selection, tools for scoring models, Pareto sorting models, and selecting the best ensemble members
  • elm.sample_util, modules of helper functions to define classes / functions for elm.pipeline.steps (the possible steps in a Pipeline)

elm.readers

elm.pipeline

elm.model_selection

elm.sample_util

elm.sample_util.step_mixin

class elm.sample_util.step_mixin.StepMixin(*args, **kwargs)

Base class for any step in an elm.pipeline.Pipeline

fit_transform(X, y=None, sample_weight=None, **kwargs)
get_params(**kwargs)