public class LogisticRegression extends LinearRegression
Algorithm.EdgeDirectionPARAMETERSmode, OUTPUTERRORALGORITHM, PREDICT, TRAINALGORITHMARRAY, COMPRESSED, DECOMPRESSED, DIFFERENCE, DIMENSION, HASH, IGNORENAN, INPUT, PREDICTED, RMSE, SOURCE, TARGET, WEIGHTDESCRIPTION| Constructor and Description |
|---|
LogisticRegression() |
LogisticRegression(int numberOfPrincipalComponents) |
| Modifier and Type | Method and Description |
|---|---|
Matrix |
predictOne(Matrix input) |
emptyCopy, getParameterMatrix, getParameterVariable, reset, setParameterMatrix, setParameterVariable, trainAllgetClassCount, getFeatureCount, getInputLabel, getMode, getOutputErrorAlgorithm, getTargetLabel, getWeightLabel, isDiscrete, predictAll, predictOne, setInputLabel, setMode, setOutputErrorAlgorithm, setTargetLabel, setWeightLabel, trainOne, trainOne, trainOneaddVariableKey, calculate, calculate, calculate, calculate, calculateObjects, calculateObjects, calculateObjects, clear, getAlgorithmMap, getDataSetMap, getDescription, getEdgeDirection, getEdgeLabel, getId, getInputKeys, getLabel, getLabelObject, getOutputKeys, getVariableKeys, getVariableMap, setAlgorithm, setDescription, setEdgeDirection, setEdgeLabel, setId, setLabel, setVariable, setVariables, toStringclone, fireValueChanged, getCoreObjectId, getGUIObject, showGUIequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitclone, getCoreObjectIdfireValueChanged, getGUIObject, showGUIpublic LogisticRegression()
public LogisticRegression(int numberOfPrincipalComponents)
public Matrix predictOne(Matrix input)
predictOne in interface RegressorpredictOne in class LinearRegressionCopyright © 2015 Java Data Mining Package. All rights reserved.