mdabros 

Provides containers and base extension methods for SharpLearning.

Provides common interfaces for SharpLearning.

Provides CsvParser and serialization for SharpLearning.

Provides classification, regression, impurity and ranking metrics.

Provides learning algorithms and models for DecisionTree regression and classification.

Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.

Provides cross-validation, training/test set samplers and learning curves for SharpLearning.

Provides learning algorithms and models for GradientBoost regression and classification.

Provides ensemble learning for regression and classification.

Provides learning algorithms and models for AdaBoost regression and classification.

Provides learning algorithms and models for neural net regression and classification.

Provides optimization algorithms.

Provides matrix and CsvRow transforms.

Provides learning algorithms and models for XGBoost regression and classification.