java.lang.Object

de.bwaldvogel.liblinear.Model

All Implemented Interfaces:: java.io.Serializable

public final class Model
extends java.lang.Object
implements java.io.Serializable

Model stores the model obtained from the training procedure

use Linear.loadModel(Path) and Linear.saveModel(Path, Model) to load/save it

See Also:: Serialized Form

Constructor Summary

Constructors

Constructor Description

Model()

Method Summary

Modifier and Type	Method	Description
`boolean`	`equals(java.lang.Object o)`
`double`	`getBias()`
`double`	`getDecfunBias(int labelIdx)`	This function gives the bias term corresponding to the class with the label_idx.
`double`	`getDecfunCoef(int featIdx, int labelIdx)`	This function gives the coefficient for the feature with feature index = feat_idx and the class with label index = label_idx.
`double`	`getDecfunRho()`	This function gives rho, the bias term used in one-class SVM only.
`double[]`	`getFeatureWeights()`	The array w gives feature weights; its size is nr_feature*nr_class but is nr_feature if nr_class = 2.
`int[]`	`getLabels()`
`int`	`getNrClass()`
`int`	`getNrFeature()`
`SolverType`	`getSolverType()`
`int`	`hashCode()`
`boolean`	`isProbabilityModel()`
`static Model`	`load(java.io.File modelFile)`	Deprecated. use `load(Path)` instead
`static Model`	`load(java.io.Reader inputReader)`	see `Linear.loadModel(Reader)`
`static Model`	`load(java.nio.file.Path modelPath)`	see `Linear.loadModel(Path)`
`void`	`save(java.io.File modelFile)`	Deprecated. use `save(Path)` instead
`void`	`save(java.io.Writer writer)`	see `Linear.saveModel(Writer, Model)`
`void`	`save(java.nio.file.Path modelPath)`	see `Linear.saveModel(Path, Model)`
`java.lang.String`	`toString()`

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Details
- Model
  
  public Model()
Method Details
- getNrClass
  
  public int getNrClass()
  
  Returns:
  
  number of classes
- getNrFeature
  
  public int getNrFeature()
  
  Returns:
  
  number of features
- getLabels
  
  public int[] getLabels()
- getSolverType
  
  public SolverType getSolverType()
- getFeatureWeights
  
  public double[] getFeatureWeights()
  The array w gives feature weights; its size is nr_feature*nr_class but is nr_feature if nr_class = 2. We use one against the rest for multi-class classification, so each feature index corresponds to nr_class weight values. Weights are organized in the following way
  +------------------+------------------+------------+ | nr_class weights | nr_class weights | ... | for 1st feature | for 2nd feature | +------------------+------------------+------------+
  If bias >= 0, x becomes [x; bias]. The number of features is increased by one, so w is a (nr_feature+1)*nr_class array. The value of bias is stored in the variable bias.
  Returns:
  
  a copy of the feature weight array as described
  
  See Also:
  
  getBias()
- isProbabilityModel
  
  public boolean isProbabilityModel()
  
  Returns:
  
  true for logistic regression solvers
- getBias
  
  public double getBias()
  
  See Also:
  
  getFeatureWeights()
- getDecfunCoef
  
  public double getDecfunCoef(int featIdx, int labelIdx)
  
  This function gives the coefficient for the feature with feature index = feat_idx and the class with label index = label_idx. Note that feat_idx starts from 1, while label_idx starts from 0. If feat_idx is not in the valid range (1 to nr_feature), then a zero value will be returned. For classification models, if label_idx is not in the valid range (0 to nr_class-1), then a zero value will be returned; for regression models, label_idx is ignored.
  
  Since:
  
  1.95
- getDecfunBias
  
  public double getDecfunBias(int labelIdx)
  
  This function gives the bias term corresponding to the class with the label_idx. For classification models, if label_idx is not in a valid range (0 to nr_class-1), then a zero value will be returned; for regression models, label_idx is ignored.
  
  Since:
  
  1.95
- getDecfunRho
  
  public double getDecfunRho()
  
  This function gives rho, the bias term used in one-class SVM only. This function can only be called for a one-class SVM model.
  
  Since:
  
  2.40
- toString
  
  public java.lang.String toString()
  
  Overrides:
  
  toString in class java.lang.Object
- hashCode
  
  public int hashCode()
  
  Overrides:
  
  hashCode in class java.lang.Object
- equals
  
  public boolean equals(java.lang.Object o)
  
  Overrides:
  
  equals in class java.lang.Object
- save
  
  public void save(java.io.File modelFile) throws java.io.IOException
  
  Deprecated.
  use save(Path) instead
  
  Throws:
  
  java.io.IOException
- save
  
  public void save(java.nio.file.Path modelPath) throws java.io.IOException
  
  see Linear.saveModel(Path, Model)
  
  Throws:
  
  java.io.IOException
- save
  
  public void save(java.io.Writer writer) throws java.io.IOException
  
  see Linear.saveModel(Writer, Model)
  
  Throws:
  
  java.io.IOException
- load
  
  public static Model load(java.io.File modelFile) throws java.io.IOException
  
  Deprecated.
  use load(Path) instead
  
  Throws:
  
  java.io.IOException
- load
  
  public static Model load(java.nio.file.Path modelPath) throws java.io.IOException
  
  see Linear.loadModel(Path)
  
  Throws:
  
  java.io.IOException
- load
  
  public static Model load(java.io.Reader inputReader) throws java.io.IOException
  
  see Linear.loadModel(Reader)
  
  Throws:
  
  java.io.IOException

Class Model

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Details

Method Details