analytics

Type Members

1. class ARMA extends Predictor with Error

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

2. class BayesNetwork extends Classifier with Error

   The BayesNetwork class implements a Bayesian Network Classifier.

3. class CanCorrelation extends Reducer with Error

   The CanCorrelation class performs Canonical Correlation Analysis (CCA) on two random vectors.

4. trait Classifier extends AnyRef

   The Classifier trait provides a common framework for several classifiers.

5. abstract class ClassifierInt extends Classifier with Error

   The ClassifierInt abstract class provides a common foundation for several classifiers that operate on integer-valued data.

6. abstract class ClassifierReal extends Classifier with Error

   The ClassifierReal abstract class provides a common foundation for several classifiers that operate on real-valued data.

7. trait Clusterer extends AnyRef

   The Clusterer trait provides a common framework for several clustering algorithms.

8. class DAG extends AnyRef

   The 'DAG' class provides a data structure for storing directed acyclic graphs.

9. class DecisionTreeC45 extends ClassifierInt

   The DecisionTreeC45 class implements a Decision Tree classifier using the C4.

10. class DecisionTreeID3 extends ClassifierInt

    The DecisionTreeID3 class implements a Decision Tree classifier using the ID3 algorithm.

11. class HiddenMarkov extends AnyRef

    The HiddenMarkov classes provides Hidden Markov Models (HMM).

12. class HierClustering extends Clusterer with Error

    Cluster several vectors/points using hierarchical clustering.

13. class KMeansClustering extends Clusterer with Error

    The KMeansClustering class cluster several vectors/points using k-means clustering.

14. class KNN_Classifier extends ClassifierReal

    The KNN_Classifier class is used to classify a new vector 'z' into one of 'c' classes.

15. class LogitRegression extends Predictor with Error

    The LogitRegression class supports logit regression.

16. class MarkovClustering extends Clusterer with Error

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

17. class NMFactorization extends AnyRef

    The NMFactorization class factors a matrix 'v' into two non negative matrices 'w' and 'h' such that v = wh approximately.

18. class NaiveBayes extends ClassifierReal

    The NaiveBayes class implements a Gaussian Naive Bayes Classifier, which is the most commonly used such classifier for continuous input data.

19. class NaiveBayesInt extends ClassifierInt

    The NaiveBayesInt class implements a Integer-Based Naive Bayes Classifier, which is a commonly used such classifier for discrete input data.

20. class NeuralNet extends Predictor with Error

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

21. class NonLinRegression extends Predictor with Error

    The NonLinRegression class supports non-linear regression.

22. class Perceptron extends Predictor with Error

    The Perceptron class supports single-valued 2-layer (input and output) Neural-Networks.

23. class PolyRegression extends Predictor with Error

    The PolyRegression class supports polynomial regression.

24. trait Predictor extends AnyRef

    The Predictor trait provides a common framework for several predictors.

25. class PrincipalComponents extends Reducer with Error

    The PrincipalComponents class performs the Principal Component Analysis (PCA) on data matrix 'x'.

26. class RandomGraph extends AnyRef

    The RandomGraph class generates random undirected graphs with clusters (as adjacency matrices).

27. trait Reducer extends AnyRef

    The Reducer trait provides a common framework for several data reduction algorithms.

28. class Regression extends Predictor with Error

    The Regression class supports multiple linear regression.

29. class SimpleRegression extends Predictor with Error

    The SimpleRegression class supports simple linear regression.

30. class SupportVectorMachine extends Classifier with Error

    The SupportVectorMachine class is a translation of Pseudo-Code from a modified SMO (Modification 2) found at the above URL's into Scala and includes a few simplifications (e.