Trait for all classification models.
Class for decision tree classification models.
Class for a gradient boost classifier model.
Class for a gradient boost classifier model.
trees in the gradient boost model
weights of each tree
number of features
number of features in feature vector
number of labels or labels to classify predictions into
log of class priors
log of class conditional probabilities
Class for multinomial one vs rest models.
Class for multinomial one vs rest models.
One vs rest models are comprised of a series of ProbabilisticClassificationModels which are used to predict each class.
binary classification models
Trait for classification models.
Trait for classification models.
This trait handles multinomial classification models as well as binary classification models.
Class for random forest classification models.
Class for random forest classification models.
trees of the random forest
number of features in feature vector
number of predictable classes
Class for support vector machine models.
Class for support vector machine models.
coefficients of SVM
intercept for SVM
threshold for pegging prediction
Companion object for constructing GBTClassifierModel.
Created by hollinwilkins on 12/25/16.
Companion object for constructing NaiveBayesModel.
Companion object for constructing NaiveBayesModel.
Companion object for constructing RandomForestClassifierModel.
Companion object for holding constants.
Class for decision tree classification models.
root decision tree node
number of features used in prediction
number of predictable classes