Release 0.8.1

Linfa's 0.8.1 release adds Random Forest and AdaBoost boosting algorithms in linfa-ensemble and Least Angle Regression in the new linfa-lars crate.

Improvements and fixes

• linfa-ica: fix missing exponential by @lmmx in https://github.com/rust-ml/linfa/pull/426
• linfa:
  • add bootstrap-with-indices utilities for Dataset
  • fix ndarray 0.16/0.17 versions mismatch (0.17 not supported)

New algorithms

Least Angle regression

Least Angle Regression (LARS) is an algorithm used in regression for high dimensional data.

See sklearn.linear_model

Ensemble methods

Ensemble methods combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator.

Random Forest

See sklearn.ensemble Random Forests

AdaBoost

See sklearn.ensemble AdaBoost