analytics

Type Members

1. class ARMA extends Predictor with Error

   This class provide basic time series analysis capabilities for Auto-Regressive (AR) and Moving Average (MA) models.

2. class BayesClassifier extends Classifier with Error

   This class implements a Naive Gaussian Bayes Classifier.

3. trait Classifier extends AnyRef

   This trait provides a common framework for several classifiers.

4. trait Clustering extends AnyRef

   This trait provides a common framework for several clustering algorithms.

5. class DecisionTreeC45 extends Classifier with Error

   This class implements a Decision Tree classifier using the C4.

6. class DecisionTreeID3 extends Classifier with Error

   This class implements a Decision Tree classifier using the ID3 algorithm.

7. class HierClustering extends Clustering with Error

   Cluster several vectors/points using hierarhical clustering.

8. class KMeansClustering extends Clustering with Error

   Cluster several vectors/points using k-means clustering.

9. class LogitRegression extends Predictor with Error

   The LogitRegression class supports logit regression.

10. class MarkovClustering extends Clustering with Error

    This class implements a Markov Clustering Algorithm (MCL) and is used to cluster nodes in a graph.

11. class NeuralNet extends Predictor with Error

    This class supports basic 3-layer (input, hidden and output) Neural Networks.

12. class NonLinRegression extends Predictor with Error

    The NonLinRegression class supports non-linear regression.

13. class PortfolioOpt extends Error

    This class is used to solve Portfilio Optimization Problems.

14. trait Predictor extends AnyRef

    This trait provides a common framework for several predictors.

15. class PrincipalComponents extends AnyRef

    This class computes the Principal Components (PCs) for data matrix x.

16. class RandomGraph extends AnyRef

    Random undirected graph generator with clusters (as an adjacency matrix).

17. class Regression extends Predictor with Error

    The Regression class supports multiple linear regression.

18. class SimpleRegression extends Predictor with Error

    The SimpleRegression class supports simple linear regression.

19. class SupportVectorMachine extends Classifier with Error

    This class implements linear support vector machines (SVM).