The current goal is to support for learning of binary classifier.
"Classifier" calculate the score of an instance with weighted summation of the weight vector and the feature vector.
"Extractor" is an interface for feature extractor. To construct classifier, implement "Extractor".
"Classifier", which is a binary classifier, requires a feature extractor.
Fix: Replace "Matrix" with "Vector".
Resize the size of weight vector dynamically.
Fix: "(Vector).Dot" returns a value typed as float64.
Fix: "(Vector).Dot" returns a value typed as float64 and an error value.
Merge branch 'feature/classifier'