Aggregated matrix of weights of labels x features
Vector of summation of all feature weights.
Vector of summation of all label weights.
Vector of weight normalizers per label (used only for complemtary models)
HashMap of labels and their corresponding row in the weightMatrix
Laplace smoothing factor.
Whether or not this is a complementary model.
Laplace smoothing factor.
getter for a single empty vector of weights
Write a trained model to the filesystem as a series of DRMs
Write a trained model to the filesystem as a series of DRMs
Directory to which the model will be written
getter for summed feature weights.
getter for summed feature weights. Used by legacy classifier
Whether or not this is a complementary model.
HashMap of labels and their corresponding row in the weightMatrix
getter for summed label weights.
getter for summed label weights. Used by legacy classifier
getter for a the number of labels to consider
Vector of weight normalizers per label (used only for complemtary models)
getter for weight normalizers.
getter for weight normalizers. Used by legacy classifier
Model Validation
getter for individual aggregated weights.
getter for individual aggregated weights. Used by legacy classifier
Vector of summation of all feature weights.
Vector of summation of all label weights.
Aggregated matrix of weights of labels x features