0.1.0-rc2

• Persistent Model now implements Verbose interface
• Tuned CART continuous feature quantile-based split finding
• N-gram and SkipGram use configurable base word tokenizer
• Moved Alpha Dropout hidden layer to Extras package
• Added Dataset merge and augment methods
• Removed Dataset prepend and append methods
• Lambda Function transformer now takes any callable
• Text Normalizer trim extra whitespace not optional
• Mean Shift minimum seeds now set at 20
• Standardized K Means inertial loss over batch count
• Added set persister method to Persistent Model
• Removed range() from neural network Cost Function interface
• Increased default neural net learner batch size to 200