Package | Description |
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org.apache.ignite.ml.util.generators |
Contains utility classes for data streams generation.
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org.apache.ignite.ml.util.generators.primitives.scalar |
Contains generators of pseudo-random scalars in according to specific disctribution.
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org.apache.ignite.ml.util.generators.primitives.vector |
Contains generators of pseudo-random vectors in according to specific disctribution.
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Modifier and Type | Method and Description |
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default DataStreamGenerator |
DataStreamGenerator.blur(RandomProducer rnd)
Apply pseudorandom noize to vectors without labels mapping.
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Modifier and Type | Class and Description |
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class |
DiscreteRandomProducer
Pseudorandom producer generating values from user provided discrete distribution.
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class |
GaussRandomProducer
Pseudorandom producer generating values from gauss distribution.
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class |
UniformRandomProducer
Pseudorandom producer generating values from uniform continuous distribution.
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Modifier and Type | Method and Description |
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static VectorGenerator |
RandomProducer.vectorize(RandomProducer... producers)
Creates
VectorGenerator with vectors having feature values in according to
preudorandom producers. |
Modifier and Type | Method and Description |
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default VectorGenerator |
VectorGenerator.concat(RandomProducer producer)
Creates new generator by concatenation of vectors of this generator and random producer.
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default VectorGenerator |
VectorGenerator.noisify(RandomProducer randomProducer)
Adds noize to all components of generated vectors.
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Constructor and Description |
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ParametricVectorGenerator(RandomProducer paramGenerator,
IgniteFunction<Double,Double>... perDimensionGenerators)
Create an intance of ParametricVectorGenerator.
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GridGain In-Memory Computing Platform : ver. 8.9.4 Release Date : April 16 2024