Package | Description |
---|---|
org.apache.ignite.ml.math |
Contains main APIs for matrix/vector algebra.
|
org.apache.ignite.ml.util.generators |
Contains utility classes for data streams generation.
|
org.apache.ignite.ml.util.generators.primitives.vector |
Contains generators of pseudo-random vectors in according to specific disctribution.
|
org.apache.ignite.ml.util.generators.standard |
Contains classes for predefined data stream generators.
|
Modifier and Type | Method and Description |
---|---|
static void |
Tracer.showClassificationDatasetHtml(DataStreamGenerator generator,
int limit,
int xIdx,
int yIdx,
boolean isLabeled)
Open browser and shows given dataset generator's data on two dimensional plane.
|
static void |
Tracer.showClassificationDatasetHtml(String name,
DataStreamGenerator generator,
int limit,
int xIdx,
int yIdx,
boolean isLabeled)
Open browser and shows given dataset generator's data on two dimensional plane.
|
static void |
Tracer.showRegressionDatasetInHtml(DataStreamGenerator generator,
int limit,
int xIdx)
Open browser and shows given dataset generator's data on two dimensional plane.
|
static void |
Tracer.showRegressionDatasetInHtml(String name,
DataStreamGenerator generator,
int limit,
int xIdx)
Open browser and shows given dataset generator's data on two dimensional plane.
|
Modifier and Type | Method and Description |
---|---|
default DataStreamGenerator |
DataStreamGenerator.blur(RandomProducer rnd)
Apply pseudorandom noize to vectors without labels mapping.
|
default DataStreamGenerator |
DataStreamGenerator.mapVectors(IgniteFunction<Vector,Vector> f)
Apply user defined mapper to vectors stream without labels hiding.
|
Modifier and Type | Method and Description |
---|---|
DataStreamGenerator |
VectorGeneratorsFamily.asDataStream()
Creates data stream where label of vector == id of distribution from family.
|
default DataStreamGenerator |
VectorGenerator.asDataStream()
Conterts vectors generator to unlabeled data stream generator.
|
Modifier and Type | Class and Description |
---|---|
class |
GaussianMixtureDataStream
Data stream generator representing gaussian mixture.
|
class |
RegressionDataStream
Represents a generator of regression data stream based on Vector->Double function where each Vector
was produced from hypercube with sides = [minXValue, maxXValue].
|
class |
RingsDataStream
Represents a data stream of vectors produced by family of ring-like distributions around zero blurred
by gauss distribution.
|
class |
TwoSeparableClassesDataStream
2D-Vectors data stream with two separable classes.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024