Uses of Interface
tech.tablesaw.api.NumericColumn

Packages that use NumericColumn

Package	Description
tech.tablesaw.api
tech.tablesaw.api.ml.classification
tech.tablesaw.api.ml.clustering
tech.tablesaw.api.ml.features
tech.tablesaw.api.ml.regression
tech.tablesaw.table
tech.tablesaw.util

Uses of NumericColumn in tech.tablesaw.api

Classes in tech.tablesaw.api that implement NumericColumn

Modifier and Type	Class and Description
class	DoubleColumn A column in a base table that contains double precision floating point values
class	FloatColumn A column in a base table that contains float values
class	IntColumn A column that contains signed 4 byte integer values
class	LongColumn A column that contains signed 8 byte integer values
class	ShortColumn A column that contains signed 2 byte integer values

Uses of NumericColumn in tech.tablesaw.api.ml.classification

Methods in tech.tablesaw.api.ml.classification with parameters of type NumericColumn

Modifier and Type	Method and Description
static Lda	Lda.learn(BooleanColumn labels, double[] priors, double tolerance, NumericColumn... predictors)
static Lda	Lda.learn(BooleanColumn labels, double[] priors, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(BooleanColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(BooleanColumn labels, double lambda, NumericColumn... predictors)
static Lda	Lda.learn(BooleanColumn labels, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(BooleanColumn labels, NumericColumn... predictors)
static Lda	Lda.learn(CategoryColumn labels, double[] priors, double tolerance, NumericColumn... predictors)
static Lda	Lda.learn(CategoryColumn labels, double[] priors, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(CategoryColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(CategoryColumn labels, double lambda, NumericColumn... predictors)
static Lda	Lda.learn(CategoryColumn labels, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(CategoryColumn labels, NumericColumn... predictors)
static Knn	Knn.learn(int k, BooleanColumn labels, NumericColumn... predictors)
static RandomForest	RandomForest.learn(int nTrees, CategoryColumn classes, NumericColumn... columns)
static DecisionTree	DecisionTree.learn(int nTrees, CategoryColumn classes, NumericColumn... columns)
static Knn	Knn.learn(int k, CategoryColumn labels, NumericColumn... predictors)
static Lda	Lda.learn(IntColumn labels, double[] priors, double tolerance, NumericColumn... predictors)
static Lda	Lda.learn(IntColumn labels, double[] priors, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(IntColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(IntColumn labels, double lambda, NumericColumn... predictors)
static Lda	Lda.learn(IntColumn labels, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(IntColumn labels, NumericColumn... predictors)
static RandomForest	RandomForest.learn(int nTrees, IntColumn classes, NumericColumn... columns)
static DecisionTree	DecisionTree.learn(int maxNodes, IntColumn classes, NumericColumn... columns)
static Knn	Knn.learn(int k, IntColumn labels, NumericColumn... predictors)
static RandomForest	RandomForest.learn(int nTrees, ShortColumn classes, NumericColumn... columns)
static DecisionTree	DecisionTree.learn(int maxNodes, ShortColumn classes, NumericColumn... columns)
static Knn	Knn.learn(int k, ShortColumn labels, NumericColumn... predictors)
static Lda	Lda.learn(ShortColumn labels, double[] priors, double tolerance, NumericColumn... predictors)
static Lda	Lda.learn(ShortColumn labels, double[] priors, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(ShortColumn labels, double lambda, double tolerance, int maxIters, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(ShortColumn labels, double lambda, NumericColumn... predictors)
static Lda	Lda.learn(ShortColumn labels, NumericColumn... predictors)
static LogisticRegression	LogisticRegression.learn(ShortColumn labels, NumericColumn... predictors)
int[]	Lda.predict(NumericColumn... predictors)
int[]	Knn.predict(NumericColumn... predictors)
int[]	LogisticRegression.predict(NumericColumn... predictors)
double	LogisticRegression.predictFromModel(int row, double[] posteriori, NumericColumn... predictors)
ConfusionMatrix	Lda.predictMatrix(BooleanColumn labels, NumericColumn... predictors)
ConfusionMatrix	Knn.predictMatrix(BooleanColumn labels, NumericColumn... predictors)
ConfusionMatrix	LogisticRegression.predictMatrix(BooleanColumn labels, NumericColumn... predictors)
ConfusionMatrix	RandomForest.predictMatrix(CategoryColumn labels, NumericColumn... predictors)
ConfusionMatrix	Lda.predictMatrix(CategoryColumn labels, NumericColumn... predictors)
ConfusionMatrix	DecisionTree.predictMatrix(CategoryColumn labels, NumericColumn... predictors)
ConfusionMatrix	Knn.predictMatrix(CategoryColumn labels, NumericColumn... predictors)
ConfusionMatrix	LogisticRegression.predictMatrix(CategoryColumn labels, NumericColumn... predictors)
ConfusionMatrix	Lda.predictMatrix(IntColumn labels, NumericColumn... predictors)
ConfusionMatrix	Knn.predictMatrix(IntColumn labels, NumericColumn... predictors)
ConfusionMatrix	LogisticRegression.predictMatrix(IntColumn labels, NumericColumn... predictors)
ConfusionMatrix	RandomForest.predictMatrix(ShortColumn labels, NumericColumn... predictors)
ConfusionMatrix	Lda.predictMatrix(ShortColumn labels, NumericColumn... predictors)
ConfusionMatrix	DecisionTree.predictMatrix(ShortColumn labels, NumericColumn... predictors)
ConfusionMatrix	Knn.predictMatrix(ShortColumn labels, NumericColumn... predictors)
ConfusionMatrix	LogisticRegression.predictMatrix(ShortColumn labels, NumericColumn... predictors)

Uses of NumericColumn in tech.tablesaw.api.ml.clustering

Constructors in tech.tablesaw.api.ml.clustering with parameters of type NumericColumn

Constructor and Description
Gmeans(int maxK, NumericColumn... columns)
Kmeans(int k, int maxIterations, NumericColumn... columns)
Kmeans(int k, NumericColumn... columns)
Xmeans(int maxK, NumericColumn... columns)

Uses of NumericColumn in tech.tablesaw.api.ml.features

Methods in tech.tablesaw.api.ml.features with parameters of type NumericColumn

Modifier and Type	Method and Description
static PrincipalComponents	PrincipalComponents.create(boolean useCorrelationMatrix, NumericColumn... columns)

Uses of NumericColumn in tech.tablesaw.api.ml.regression

Methods in tech.tablesaw.api.ml.regression with parameters of type NumericColumn

Modifier and Type	Method and Description
static LeastSquares	LeastSquares.train(NumericColumn responseVar, NumericColumn... explanatoryVars)
static LeastSquares	LeastSquares.train(NumericColumn responseVar, NumericColumn... explanatoryVars)

Constructors in tech.tablesaw.api.ml.regression with parameters of type NumericColumn

Constructor and Description
LeastSquares(NumericColumn responseVariable, NumericColumn... explanatoryVars)
LeastSquares(NumericColumn responseVariable, NumericColumn... explanatoryVars)

Uses of NumericColumn in tech.tablesaw.table

Methods in tech.tablesaw.table that return NumericColumn

Modifier and Type	Method and Description
NumericColumn	Relation.nCol(int columnIndex) Returns the column with the given name cast to a NumericColumn
NumericColumn	Relation.nCol(String columnName) Returns the column with the given name cast to a NumericColumn
NumericColumn	Relation.numericColumn(int columnIndex)
NumericColumn	TemporaryView.numericColumn(int columnIndex)
NumericColumn	Relation.numericColumn(String columnName)
NumericColumn	TemporaryView.numericColumn(String columnName)

Uses of NumericColumn in tech.tablesaw.util

Methods in tech.tablesaw.util with parameters of type NumericColumn

Modifier and Type	Method and Description
static double[][]	DoubleArrays.to2dArray(NumericColumn... columns)
static double[][]	DoubleArrays.to2dArray(NumericColumn x, NumericColumn y)