v0.1.14

Add multiple segmentation and random segments.

Let the user use N jobs from grid search

Grid search njobs (#46)

* Add n_jobs as a parameter

* Bump version

Refactor hyper-opt function

The process was fitting the same model multiple times.

Fix env wise hyper opt

Stratify env wise hyper opt (#44)

* Replace KFold by StratifiedKFold

* Bump version

Fix random generator problem

Fix random generator (#43)

* Share the rng

* bump version

Exclude the min_leaf parameter

Exclude min leaf parameter (#40)

* Exclude min_leaf parameter

* Bump version

* Style fix

Random state fixed

Make the model outputs reproducible.

Environment-wise Hyper-parameter optimization

Hyper opt functions (#37)

* v 0.1.6

* Hyper-param functions

* Fix imports and unused variables

* Bump version

Minimum impurity decrease hyper-param

Adds the minimum impurity decrease as a hyper-parameter and feature importance based on it.

Std criterion added

Adds a not normalized version of the std criterion.