Top 20 NuGet Packages depending on SharpLearning.Containers

Total dependencies: 14

Provides learning algorithms and models for XGBoost regression and classification.
Provides optimization algorithms.
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 DecisionTree regression and classification.
Provides learning algorithms and models for GradientBoost regression and classification.
Provides learning algorithms and models for neural net regression and classification.
Provides CsvParser and serialization for SharpLearning.
Provides common interfaces for SharpLearning.
Provides learning algorithms and models for AdaBoost regression and classification.
Provides ensemble learning for regression and classification.
Provides classification, regression, impurity and ranking metrics.
Provides matrix and CsvRow transforms.
stastistics, fractional number parsing, matrixbuilder singleton, random singleton, noisy equation generator, rounding helper, data normaliser, gaussian math (add,substract, multiply), histogram