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See:
Description
Class Summary | |
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AbstractSampleGenerator<E> | Generates values from a list of samples. |
AttachedWeightSampleGenerator<E> | Generates values from a weighted or non-weighted set of samples. |
ConstantGenerator<E> | Generator implementation that always returns the same value. |
IndividualWeightSampleGenerator<E> | Maps an IndividualWeight distribution to an AbstractWeightFunction and uses its capabilities
for providing distribution features based on the IndividualWeight 's characteristics. |
NonNullSampleGenerator<E> | Generates data from a base of non-null sample values. |
OneShotGenerator<E> | Returns a value only once and then becomes unavailable immediately. |
SampleGenerator<E> | Generates values from a non-weighted list of samples, applying an explicitly defined distribution. |
SampleGeneratorUtil | Provides utility methods for sample-based generators. |
SeedGenerator<E> | Generates value sequences derived from seed sequences. |
SeedManager<E> | Counts frequencies of atoms and provides random atoms with the same frequency. |
SequencedCSVSampleGenerator<E> | Sample Generator for values that are read from a CSV file. |
SequenceGenerator<E> | Creates a predefined sequence of objects. |
StateGenerator<E> | Generates states as configured by a state machine. |
StateTransitionGenerator<E> | Generates state transitions of a state machine. |
WeightedCSVSampleGenerator<E> | Sample Generator for values that are read from a CSV file. |
WeigthedLiteralGenerator<E> | Generates values defined by a weighted or non-weighted value list literal, like "'A'^3,'B'^2", supporting weighted random generation and uniqueness. |
Provides Generators that are based on collections of samples. Samples may have individual weights.
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