public class LogisticRegression extends AbstractClassifier
Modifier and Type | Method and Description |
---|---|
static LogisticRegression |
learn(BooleanColumn labels,
double lambda,
double tolerance,
int maxIters,
NumericColumn... predictors) |
static LogisticRegression |
learn(BooleanColumn labels,
double lambda,
NumericColumn... predictors) |
static LogisticRegression |
learn(BooleanColumn labels,
NumericColumn... predictors) |
static LogisticRegression |
learn(CategoryColumn labels,
double lambda,
double tolerance,
int maxIters,
NumericColumn... predictors) |
static LogisticRegression |
learn(CategoryColumn labels,
double lambda,
NumericColumn... predictors) |
static LogisticRegression |
learn(CategoryColumn labels,
NumericColumn... predictors) |
static LogisticRegression |
learn(IntColumn labels,
double lambda,
double tolerance,
int maxIters,
NumericColumn... predictors) |
static LogisticRegression |
learn(IntColumn labels,
double lambda,
NumericColumn... predictors) |
static LogisticRegression |
learn(IntColumn labels,
NumericColumn... predictors) |
static LogisticRegression |
learn(ShortColumn labels,
double lambda,
double tolerance,
int maxIters,
NumericColumn... predictors) |
static LogisticRegression |
learn(ShortColumn labels,
double lambda,
NumericColumn... predictors) |
static LogisticRegression |
learn(ShortColumn labels,
NumericColumn... predictors) |
double |
logLikelihood() |
int |
predict(double[] data) |
int[] |
predict(NumericColumn... predictors) |
double |
predictFromModel(double[] x,
double[] posteriori) |
double |
predictFromModel(int row,
double[] posteriori,
NumericColumn... predictors) |
ConfusionMatrix |
predictMatrix(BooleanColumn labels,
NumericColumn... predictors) |
ConfusionMatrix |
predictMatrix(CategoryColumn labels,
NumericColumn... predictors) |
ConfusionMatrix |
predictMatrix(IntColumn labels,
NumericColumn... predictors) |
ConfusionMatrix |
predictMatrix(ShortColumn labels,
NumericColumn... predictors) |
public static LogisticRegression learn(ShortColumn labels, NumericColumn... predictors)
public static LogisticRegression learn(IntColumn labels, NumericColumn... predictors)
public static LogisticRegression learn(BooleanColumn labels, NumericColumn... predictors)
public static LogisticRegression learn(CategoryColumn labels, NumericColumn... predictors)
public static LogisticRegression learn(ShortColumn labels, double lambda, NumericColumn... predictors)
public static LogisticRegression learn(IntColumn labels, double lambda, NumericColumn... predictors)
public static LogisticRegression learn(BooleanColumn labels, double lambda, NumericColumn... predictors)
public static LogisticRegression learn(CategoryColumn labels, double lambda, NumericColumn... predictors)
public static LogisticRegression learn(ShortColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
public static LogisticRegression learn(IntColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
public static LogisticRegression learn(BooleanColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
public static LogisticRegression learn(CategoryColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
public int predict(double[] data)
public ConfusionMatrix predictMatrix(ShortColumn labels, NumericColumn... predictors)
public ConfusionMatrix predictMatrix(IntColumn labels, NumericColumn... predictors)
public ConfusionMatrix predictMatrix(CategoryColumn labels, NumericColumn... predictors)
public ConfusionMatrix predictMatrix(BooleanColumn labels, NumericColumn... predictors)
public int[] predict(NumericColumn... predictors)
public double logLikelihood()
public double predictFromModel(double[] x, double[] posteriori)
public double predictFromModel(int row, double[] posteriori, NumericColumn... predictors)
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