0.0.15-beta

• Added Gaussian MLE anomaly detector
• Added early stopping window to Gradient Descent-based Learners
• Changed early stopping behavior of MLP-based estimators
• Added predict single sample method to Learner interface
• Changed method signature of random subset without replacement
• Changed K Means default max iterations
• Robust Z Score now uses weighted combination of scores
• Cross validators now stratify dataset automatically
• Changed default k in K Fold validator
• Changed order of Loda hyperparameters
• Changed hyperparameter order of KNN-based learners
• Added method to return categories from One Hot Encoder
• Removed Lottery and Blurry Percentile guessing strategy
• Added Percentile guessing strategy
• Added shrinkage parameter to Wild Guess strategy
• Added additional methods to random Strategies
• Renamed Popularity Contest strategy to Prior
• Datasets now inherit from abstract parent Dataset class
• Removed Dataset interface
• Neural net parameter update in Layer instead of Optimizer
• Changed order of distance-based clusterer hyperparameters
• Improved cluster radius estimation in Mean Shift
• Naive Bayes now adaptive to new class labels
• Changed order of neural network learner hyperparameters
• Added safety switch to AdaBoost if weak learner worse than random
• Added min change early stopping to AdaBoost
• Added Patreon funding support