bipartite_learn#

Modules

`bipartite_learn.base`
`bipartite_learn.datasets`
`bipartite_learn.ensemble`	The `sklearn.ensemble` module includes ensemble-based methods for classification, regression and anomaly detection.
`bipartite_learn.matrix_factorization`
`bipartite_learn.melter`
`bipartite_learn.metrics`
`bipartite_learn.model_selection`
`bipartite_learn.neighbors`	Distance Weighted Neighbors Regression.
`bipartite_learn.pipeline`
`bipartite_learn.preprocessing`
`bipartite_learn.tree`
`bipartite_learn.utils`	The `bipartite_learn.utils` module includes various utilities.
`bipartite_learn.wrappers`	Set of tools to apply standard estimators to bipartite datasets.