Added experience replay capabilities to SARSA neural network and Q-learning neural network models.
Added OneVsAll under “Others” to convert any binary classification models into multi class ones.
Added ExpectedStateActionRewardStateActionNeuralNetwork model.
Fixed KMedoids and KMeans calculations.
Fixed bugs related to Affinity Propagation model.
Changed the ModelChecking to ModelChecker. Also changed a lot of its functionalities.
Changed the GradientDescentModes to GradientDescentModifier. Also changed a lot of its functionalities.
Some of the classification models now returns predictedLabelVector as opposed to single value.
Made the codes for clustering models more readable.
Changed the outputs for a number of classification and clustering algorithms.
Removed SupportVectorMachineOneVsAll and LogisticRegressionOneVsAll.
Changed the way how DBSCAN and AffinityPropagation store its model parameters.