Module: SVMKit

Defined in:

lib/svmkit/version.rb,
lib/svmkit/dataset.rb,
lib/svmkit/base/splitter.rb,
lib/svmkit/base/evaluator.rb,
lib/svmkit/base/classifier.rb,
lib/svmkit/pairwise_metric.rb,
lib/svmkit/base/transformer.rb,
lib/svmkit/linear_model/svc.rb,
lib/svmkit/base/base_estimator.rb,
lib/svmkit/model_selection/k_fold.rb,
lib/svmkit/kernel_approximation/rbf.rb,
lib/svmkit/evaluation_measure/recall.rb,
lib/svmkit/kernel_machine/kernel_svc.rb,
lib/svmkit/evaluation_measure/f_score.rb,
lib/svmkit/evaluation_measure/accuracy.rb,
lib/svmkit/preprocessing/l2_normalizer.rb,
lib/svmkit/evaluation_measure/precision.rb,
lib/svmkit/preprocessing/min_max_scaler.rb,
lib/svmkit/preprocessing/standard_scaler.rb,
lib/svmkit/linear_model/logistic_regression.rb,
lib/svmkit/model_selection/cross_validation.rb,
lib/svmkit/model_selection/stratified_k_fold.rb,
lib/svmkit/multiclass/one_vs_rest_classifier.rb,
lib/svmkit/evaluation_measure/precision_recall.rb,
lib/svmkit/nearest_neighbors/k_neighbors_classifier.rb,
lib/svmkit/polynomial_model/factorization_machine_classifier.rb

Overview

SVMKit is an experimental library of machine learning in Ruby.

Defined Under Namespace

Modules: Base, Dataset, EvaluationMeasure, KernelApproximation, KernelMachine, LinearModel, ModelSelection, Multiclass, NearestNeighbors, PairwiseMetric, PolynomialModel, Preprocessing