Modifier and Type | Method and Description |
---|---|
IntColumn |
IntColumn.add(IntColumn column2) |
IntColumn |
IntColumn.addToEach(int value) |
IntColumn |
ShortColumn.append(ShortColumn column2) |
IntColumn |
IntColumn.copy() |
IntColumn |
IntColumn.difference() |
IntColumn |
ShortColumn.divide(ShortColumn column2) |
IntColumn |
IntColumn.emptyCopy() |
IntColumn |
IntColumn.emptyCopy(int rowSize) |
IntColumn |
IntColumn.multiply(IntColumn column2) |
IntColumn |
ShortColumn.multiply(ShortColumn column2) |
IntColumn |
IntColumn.remainder(IntColumn column2) |
IntColumn |
ShortColumn.remainder(ShortColumn column2) |
IntColumn |
IntColumn.select(Selection selection) |
IntColumn |
IntColumn.selectIf(IntPredicate predicate) |
IntColumn |
IntColumn.subtract(IntColumn column2) |
IntColumn |
ShortColumn.subtract(ShortColumn column2) |
IntColumn |
BooleanColumn.toIntColumn() |
IntColumn |
CategoryColumn.toIntColumn() |
IntColumn |
IntColumn.unique() |
Modifier and Type | Method and Description |
---|---|
IntColumn |
IntColumn.add(IntColumn column2) |
DoubleColumn |
DoubleColumn.divide(IntColumn column2) |
FloatColumn |
FloatColumn.divide(IntColumn column2) |
Selection |
IntColumn.isEqualTo(IntColumn other) |
IntColumn |
IntColumn.multiply(IntColumn column2) |
DoubleColumn |
DoubleColumn.multiply(IntColumn column2) |
FloatColumn |
FloatColumn.multiply(IntColumn column2) |
IntColumn |
IntColumn.remainder(IntColumn column2) |
IntColumn |
IntColumn.subtract(IntColumn column2) |
Constructor and Description |
---|
AssociationRuleMining(IntColumn sets,
CategoryColumn items,
double support) |
FrequentItemset(IntColumn sets,
CategoryColumn items,
double support) |
FrequentItemset(IntColumn sets,
IntColumn items,
double supportThreshold)
Constructs and returns a frequent itemset model
|
Modifier and Type | Method and Description |
---|---|
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) |
ConfusionMatrix |
Lda.predictMatrix(IntColumn labels,
NumericColumn... predictors) |
ConfusionMatrix |
Knn.predictMatrix(IntColumn labels,
NumericColumn... predictors) |
ConfusionMatrix |
LogisticRegression.predictMatrix(IntColumn labels,
NumericColumn... predictors) |
Modifier and Type | Method and Description |
---|---|
Filter |
ColumnReference.isIn(IntColumn intColumn) |
Constructor and Description |
---|
IntIsIn(ColumnReference reference,
IntColumn filterColumn) |
Constructor and Description |
---|
IntIndex(IntColumn column) |
Modifier and Type | Method and Description |
---|---|
default IntColumn |
TimeMapUtils.minuteOfDay() |
default IntColumn |
IntMapUtils.multiply(int value) |
default IntColumn |
IntMapUtils.plus(int value) |
default IntColumn |
IntMapUtils.plus(IntColumn... columns) |
default IntColumn |
ShortMapUtils.plus(ShortColumn... columns) |
default IntColumn |
DateTimeMapUtils.secondOfDay() |
default IntColumn |
TimeMapUtils.secondOfDay() |
default IntColumn |
IntMapUtils.subtract(int value) |
Modifier and Type | Method and Description |
---|---|
default FloatColumn |
IntMapUtils.divide(IntColumn divisor) |
default String |
IntMapUtils.names(IntColumn[] columns) |
default IntColumn |
IntMapUtils.plus(IntColumn... columns) |
Modifier and Type | Method and Description |
---|---|
default double |
NumericReduceFunction.reduce(IntColumn data) |
Modifier and Type | Method and Description |
---|---|
static void |
StorageManager.writeColumn(String fileName,
IntColumn column) |
Modifier and Type | Method and Description |
---|---|
IntColumn |
Relation.intColumn(int columnIndex) |
IntColumn |
TemporaryView.intColumn(int columnIndex) |
IntColumn |
Relation.intColumn(String columnName) |
IntColumn |
TemporaryView.intColumn(String columnName) |
Modifier and Type | Method and Description |
---|---|
static Stats |
Stats.create(IntColumn ints) |
Copyright © 2017. All rights reserved.