See: Description
Class | Description |
---|---|
AggregateFunction<T> |
This abstract class represents an aggregate function.
|
AggregateFunction.AggregateFunctionBuilder<T> |
A builder for aggregate functions.
|
AggregateFunction.AggregateFunctionWithParameter<T> |
An aggregate function that has a parameter.
|
AggregateFunction.GenericArithmeticMean<T> |
An aggregate function that returns the arithmetic mean, if it may be computed, "NULL"
otherwise.
|
AggregateFunction.GenericArithmeticMeanOfBounds<T> |
An aggregate function that returns the arithmetic mean of min & max, if it may be computed, "NULL"
otherwise.
|
AggregateFunction.GenericBounds<T> |
An aggregate function that returns an interval consisting of the
first and the last element following the predefined order .
|
AggregateFunction.GenericCommonPrefix<T> |
An aggregate function that returns a common prefix.
|
AggregateFunction.GenericConstant<T> |
An aggregate function that returns a constant value.
|
AggregateFunction.GenericGeometricMean<T> |
An aggregate function that returns the geometric mean, if it may be computed, "NULL"
otherwise.
|
AggregateFunction.GenericGeometricMeanOfBounds<T> |
An aggregate function that returns the geometric mean of min & max, if it may be computed, "NULL"
otherwise.
|
AggregateFunction.GenericInterval<T> |
An aggregate function that returns an interval [min, max] .
|
AggregateFunction.GenericSet<T> |
An aggregate function that returns a set of all data values.
|
AggregateFunction.GenericSetOfPrefixes<T> |
An aggregate function that returns a set of the prefixes of the data values.
|
ClassificationConfigurationLogisticRegression |
Configuration for logistic regression
|
ClassificationConfigurationNaiveBayes |
Configuration for naive bayes classification
|
ClassificationConfigurationRandomForest |
Configuration for Random Forest classifiers
|
HierarchyBuilder<T> |
Base class for hierarchy builders.
|
HierarchyBuilderDate |
This class enables building hierarchies for dates.
|
HierarchyBuilderDate.Format |
A format-class for localization
|
HierarchyBuilderGroupingBased<T> |
This abstract base class enables building hierarchies for categorical and non-categorical values.
|
HierarchyBuilderGroupingBased.Group<U> |
This class represents a fanout parameter.
|
HierarchyBuilderGroupingBased.Level<U> |
This class represents a level in the hierarchy.
|
HierarchyBuilderIntervalBased<T> |
This class enables building hierarchies for non-categorical values by mapping them
into given intervals.
|
HierarchyBuilderIntervalBased.Interval<T> |
This class represents an interval.
|
HierarchyBuilderIntervalBased.Range<U> |
For each direction, this class encapsulates three bounds.
|
HierarchyBuilderOrderBased<T> |
This class enables building hierarchies for categorical and non-categorical values
by ordering the data items and merging into groups with predefined sizes.
|
HierarchyBuilderOrderBased.SerializableComparator<T> |
A serializable comparator.
|
HierarchyBuilderRedactionBased<T> |
This class enables building hierarchies for categorical and non-categorical values
using redaction.
|
StatisticsBuilder |
A class offering basic descriptive statistics about data handles.
|
StatisticsBuilderInterruptible |
A class offering basic descriptive statistics about data handles.
|
StatisticsClassification |
Statistics representing the performance of various classifiers
|
StatisticsClassification.ROCCurve |
A ROC curve
|
StatisticsContingencyTable |
A contingency table.
|
StatisticsContingencyTable.Entry |
An entry in the contingency table.
|
StatisticsEquivalenceClasses |
Statistics about the equivalence classes.
|
StatisticsFrequencyDistribution |
A frequency distribution.
|
StatisticsQuality |
Encapsulates statistics obtained using various quality models
|
StatisticsSummary<T> |
A base class for summary statistics
|
Enum | Description |
---|---|
ClassificationConfigurationLogisticRegression.PriorFunction |
Prior function for regularization
|
ClassificationConfigurationNaiveBayes.Type |
Type of bayes classifier
|
ClassificationConfigurationRandomForest.SplitRule |
Split rule for the decision tree
|
HierarchyBuilder.Type |
The three types of builders.
|
HierarchyBuilderDate.Granularity |
Granularity
|
HierarchyBuilderRedactionBased.Order |
Order
|