Metrics, model selection and resampling

Scores, cross-validation, bootstrap and permutation tests.

cross_val_score	Evaluate an estimator by cross-validation and return one score per fold.
metrics	Scoring functions: classification, regression, ranking and clustering metrics.
model_selection	Cross-validation, splitters and hyperparameter search for mojolearn estimators.
resample	Resampling statistics: bootstrap intervals, permutation tests, Monte Carlo integration and scikit-learn style row resampling.