Modifier and Type | Interface and Description |
---|---|
interface |
DataGenerator<T extends DataGenerator<T>>
Interface for generating data as table arrays.
|
interface |
InputDataGenerator<T extends InputDataGenerator<T>>
Interface for generating data as input table arrays.
|
Modifier and Type | Class and Description |
---|---|
class |
KMeansModelDataGenerator
A DataGenerator which creates a table containing one
KMeansModel instance. |
Modifier and Type | Class and Description |
---|---|
class |
DenseVectorArrayGenerator
A DataGenerator which creates a table of DenseVector array.
|
class |
DenseVectorGenerator
A DataGenerator which creates a table of DenseVector.
|
class |
DoubleGenerator
A DataGenerator which creates a table of doubles.
|
class |
InputTableGenerator<T extends InputTableGenerator<T>>
Base class for generating data as input table arrays.
|
class |
LabeledPointWithWeightGenerator
A DataGenerator which creates a table of features, label and weight.
|
class |
RandomStringArrayGenerator
A DataGenerator which creates a table of random string arrays.
|
class |
RandomStringGenerator
A DataGenerator which creates a table of random strings.
|
Modifier and Type | Interface and Description |
---|---|
interface |
KMeansParams<T>
Params of
KMeans . |
interface |
OnlineKMeansParams<T>
Params of
OnlineKMeans . |
Modifier and Type | Class and Description |
---|---|
class |
KMeans
An Estimator which implements the k-means clustering algorithm.
|
class |
OnlineKMeans
OnlineKMeans extends the function of
KMeans , supporting to train a K-Means model
continuously according to an unbounded stream of train data. |
Modifier and Type | Interface and Description |
---|---|
interface |
MinHashLSHParams<T>
Params for
MinHashLSH . |
Modifier and Type | Class and Description |
---|---|
class |
MinHashLSH
An Estimator that implements the MinHash LSH algorithm, which supports LSH for Jaccard distance.
|
Modifier and Type | Interface and Description |
---|---|
interface |
RandomSplitterParams<T>
Params of
RandomSplitter . |
Modifier and Type | Class and Description |
---|---|
class |
RandomSplitter
An AlgoOperator which splits a Table into N Tables according to the given weights.
|
Modifier and Type | Interface and Description |
---|---|
interface |
SwingParams<T>
Params for
Swing . |
Modifier and Type | Class and Description |
---|---|
class |
Swing
An AlgoOperator which implements the Swing algorithm.
|
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