Skip to content

0.5.0 - 2020-03-13

compat

  • Added compat.PyTorch2CremeRegressor.
  • compat.SKL2CremeRegressor and compat.SKL2CremeClassifier now have an optional batch_size parameter in order to perform mini-batching.

compose

facto

feature_selection

feature_extraction

datasets

impute

  • Added impute.PreviousImputer.

linear_model

  • linear_model.FMClassifier has been moved to the facto module.
  • linear_model.FMRegressor has been moved to the facto module.
  • Added linear_model.ALMAClassifier.

metrics

meta

  • Moved meta.TransformedTargetRegressor and meta.BoxCoxRegressor to this module (they were previously in the compose module).
  • Added meta.PredClipper

model_selection

  • Added model_selection.expand_param_grid to generate a list of models from a grid of parameters.
  • Added the model_selection.successive_halving method for selecting hyperparameters.
  • The online_score and online_qa_score methods have been merged into a single method named model_selection.progressive_val_score.

preprocessing

optim

reco

sampling

  • Added sampling.RandomUnderSampler.
  • Added sampling.RandomOverSampler.
  • Added sampling.RandomSampler.
  • Added sampling.HardSamplingClassifier.
  • Added sampling.HardSamplingRegressor.

stats

stream