Modifier and Type | Interface and Description |
---|---|
interface |
CountVectorizerModelParams<T>
Params for
CountVectorizerModel . |
interface |
CountVectorizerParams<T>
Params of
CountVectorizer . |
Modifier and Type | Class and Description |
---|---|
class |
CountVectorizer
An Estimator which converts a collection of text documents to vectors of token counts.
|
class |
CountVectorizerModel
A Model which transforms data using the model data computed by
CountVectorizer . |
Modifier and Type | Interface and Description |
---|---|
interface |
DCTParams<T>
Params for
DCT . |
Modifier and Type | Class and Description |
---|---|
class |
DCT
A Transformer that takes the 1D discrete cosine transform of a real vector.
|
Modifier and Type | Interface and Description |
---|---|
interface |
ElementwiseProductParams<T>
Params of
ElementwiseProduct . |
Modifier and Type | Class and Description |
---|---|
class |
ElementwiseProduct
A Transformer that multiplies each input vector with a given scaling vector using Hadamard
product.
|
Modifier and Type | Interface and Description |
---|---|
interface |
FeatureHasherParams<T>
Params of
FeatureHasher . |
Modifier and Type | Class and Description |
---|---|
class |
FeatureHasher
A Transformer that transforms a set of categorical or numerical features into a sparse vector of
a specified dimension.
|
Modifier and Type | Interface and Description |
---|---|
interface |
HashingTFParams<T>
Params of
HashingTF . |
Modifier and Type | Class and Description |
---|---|
class |
HashingTF
A Transformer that maps a sequence of terms(strings, numbers, booleans) to a sparse vector with a
specified dimension using the hashing trick.
|
Modifier and Type | Interface and Description |
---|---|
interface |
IDFModelParams<T>
Params for
IDFModel . |
interface |
IDFParams<T>
Params for
IDF . |
Modifier and Type | Class and Description |
---|---|
class |
IDF
An Estimator that computes the inverse document frequency (IDF) for the input documents.
|
class |
IDFModel
A Model which transforms data using the model data computed by
IDF . |
Modifier and Type | Interface and Description |
---|---|
interface |
InteractionParams<T>
Params of
Interaction . |
Modifier and Type | Class and Description |
---|---|
class |
Interaction
A Transformer that takes vector or numerical columns, and generates a single vector column that
contains the product of all combinations of one value from each input column.
|
Modifier and Type | Interface and Description |
---|---|
interface |
KBinsDiscretizerModelParams<T>
Params for
KBinsDiscretizerModel . |
interface |
KBinsDiscretizerParams<T>
Params for
KBinsDiscretizer . |
Modifier and Type | Class and Description |
---|---|
class |
KBinsDiscretizer
An Estimator which implements discretization (also known as quantization or binning) to transform
continuous features into discrete ones.
|
class |
KBinsDiscretizerModel
A Model which transforms continuous features into discrete features using the model data computed
by
KBinsDiscretizer . |
Modifier and Type | Interface and Description |
---|---|
interface |
LSHModelParams<T>
Params for
LSHModel . |
interface |
LSHParams<T>
Params for
LSH . |
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.
|
class |
MinHashLSHModel
A Model which generates hash values using the model data computed by
MinHashLSH . |
Modifier and Type | Interface and Description |
---|---|
interface |
MaxAbsScalerParams<T>
Params for
MaxAbsScaler . |
Modifier and Type | Class and Description |
---|---|
class |
MaxAbsScaler
An Estimator which implements the MaxAbsScaler algorithm.
|
class |
MaxAbsScalerModel
A Model which transforms data using the model data computed by
MaxAbsScaler . |
Modifier and Type | Interface and Description |
---|---|
interface |
MinMaxScalerParams<T>
Params for
MinMaxScaler . |
Modifier and Type | Class and Description |
---|---|
class |
MinMaxScaler
An Estimator which implements the MinMaxScaler algorithm.
|
class |
MinMaxScalerModel
A Model which transforms data using the model data computed by
MinMaxScaler . |
Modifier and Type | Interface and Description |
---|---|
interface |
NGramParams<T>
Params of
NGram . |
Modifier and Type | Class and Description |
---|---|
class |
NGram
A Transformer that converts the input string array into an array of n-grams, where each n-gram is
represented by a space-separated string of words.
|
Modifier and Type | Interface and Description |
---|---|
interface |
NormalizerParams<T>
Params of
Normalizer . |
Modifier and Type | Class and Description |
---|---|
class |
Normalizer
A Transformer that normalizes a vector to have unit norm using the given p-norm.
|
Modifier and Type | Interface and Description |
---|---|
interface |
PolynomialExpansionParams<T>
Params of
PolynomialExpansion . |
Modifier and Type | Class and Description |
---|---|
class |
PolynomialExpansion
A Transformer that expands the input vectors in polynomial space.
|
Modifier and Type | Interface and Description |
---|---|
interface |
RegexTokenizerParams<T>
Params for
RegexTokenizer . |
Modifier and Type | Class and Description |
---|---|
class |
RegexTokenizer
A Transformer which converts the input string to lowercase and then splits it by white spaces
based on regex.
|
Modifier and Type | Interface and Description |
---|---|
interface |
RobustScalerModelParams<T>
Params for
RobustScalerModel . |
interface |
RobustScalerParams<T>
Params for
RobustScaler . |
Modifier and Type | Class and Description |
---|---|
class |
RobustScaler
An Estimator which scales features using statistics that are robust to outliers.
|
class |
RobustScalerModel
A Model which transforms data using the model data computed by
RobustScaler . |
Modifier and Type | Interface and Description |
---|---|
interface |
OnlineStandardScalerModelParams<T>
Params for
OnlineStandardScalerModel . |
interface |
OnlineStandardScalerParams<T>
Params for
OnlineStandardScaler . |
interface |
StandardScalerParams<T>
Params for
StandardScaler . |
Modifier and Type | Class and Description |
---|---|
class |
OnlineStandardScaler
An Estimator which implements the online standard scaling algorithm, which is the online version
of
StandardScaler . |
class |
OnlineStandardScalerModel
A Model which transforms data using the model data computed by
OnlineStandardScaler . |
class |
StandardScaler
An Estimator which implements the standard scaling algorithm.
|
class |
StandardScalerModel
A Model which transforms data using the model data computed by
StandardScaler . |
Modifier and Type | Interface and Description |
---|---|
interface |
TokenizerParams<T>
Params of
Tokenizer . |
Modifier and Type | Class and Description |
---|---|
class |
Tokenizer
A Transformer which converts the input string to lowercase and then splits it by white spaces.
|
Modifier and Type | Interface and Description |
---|---|
interface |
UnivariateFeatureSelectorModelParams<T>
Params for
UnivariateFeatureSelectorModel . |
interface |
UnivariateFeatureSelectorParams<T>
Params for
UnivariateFeatureSelector . |
Modifier and Type | Class and Description |
---|---|
class |
UnivariateFeatureSelector
An Estimator which selects features based on univariate statistical tests against labels.
|
class |
UnivariateFeatureSelectorModel
A Model which transforms data using the model data computed by
UnivariateFeatureSelector . |
Modifier and Type | Interface and Description |
---|---|
interface |
VarianceThresholdSelectorModelParams<T>
Params for
VarianceThresholdSelectorModel . |
interface |
VarianceThresholdSelectorParams<T>
Params of VarianceThresholdSelectorModel.
|
Modifier and Type | Class and Description |
---|---|
class |
VarianceThresholdSelector
An Estimator which implements the VarianceThresholdSelector algorithm.
|
class |
VarianceThresholdSelectorModel
A Model which removes low-variance data using the model data computed by
VarianceThresholdSelector . |
Modifier and Type | Interface and Description |
---|---|
interface |
VectorAssemblerParams<T>
Params of
VectorAssembler . |
Modifier and Type | Class and Description |
---|---|
class |
VectorAssembler
A Transformer which combines a given list of input columns into a vector column.
|
Modifier and Type | Interface and Description |
---|---|
interface |
VectorIndexerModelParams<T>
Params for
VectorIndexerModel . |
interface |
VectorIndexerParams<T>
Params of
VectorIndexer . |
Modifier and Type | Class and Description |
---|---|
class |
VectorIndexer
An Estimator which implements the vector indexing algorithm.
|
class |
VectorIndexerModel
A Model which encodes input vector to an output vector using the model data computed by
VectorIndexer . |
Modifier and Type | Interface and Description |
---|---|
interface |
VectorSlicerParams<T>
Params of
VectorSlicer . |
Modifier and Type | Class and Description |
---|---|
class |
VectorSlicer
A Transformer that transforms a vector to a new feature, which is a sub-array of the original
feature.
|
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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