classify

Type Members

1. trait Classifier[L, -T] extends (T) ⇒ L

   Represents a classifier from observations of type T to labels of type L.

2. class LFMatrix[L, TF] extends NumericOps[LFMatrix[L, TF]] with Serializable

   This stupidly named class is a Label-Feature Matrix, which is to say that it's a the weight matrix used by most of the classifier trainers.

3. class LinearClassifier[L, T2, TL, TF] extends Classifier[L, TF] with Serializable

   A LinearClassifier is a multi-class classifier with decision function: \hat y_i = \arg\max_y w_y^T x_i + b_y

4. class NNetClassifier[L, T] extends Classifier[L, T]

   A NeuralNetwork classifier uses a neural network to get unnormalize log probabilities for the scores of the classifier.

5. class NaiveBayes[L, W] extends Classifier[L, Counter[W, Double]] with Serializable

   Implements a Naive-Bayes Classifer over bags of words.

6. case class TrainerParams(type: String = "Logistic", input: File = new java.io.File("train"), help: Boolean = false) extends Product with Serializable

7. class UnindexedLFMatrix[L, TF] extends NumericOps[UnindexedLFMatrix[L, TF]] with Serializable

   This is the unindexed weights matrix: it acts as a tensor over the label types, rather than their indexed components