Modifier and Type | Interface and Description |
---|---|
interface |
KnnModelParams<T>
Params for
KnnModel . |
interface |
KnnParams<T>
Params for
Knn . |
Modifier and Type | Class and Description |
---|---|
class |
Knn
An Estimator which implements the KNN algorithm.
|
class |
KnnModel
A Model which classifies data using the model data computed by
Knn . |
Modifier and Type | Interface and Description |
---|---|
interface |
LinearSVCModelParams<T>
Params for
LinearSVCModel . |
interface |
LinearSVCParams<T>
Params for
LinearSVC . |
Modifier and Type | Class and Description |
---|---|
class |
LinearSVC
An Estimator which implements the linear support vector classification.
|
class |
LinearSVCModel
A Model which classifies data using the model data computed by
LinearSVC . |
Modifier and Type | Interface and Description |
---|---|
interface |
LogisticRegressionModelParams<T>
Params for LogisticRegressionModel and LogisticRegressionModelServable.
|
interface |
LogisticRegressionParams<T>
Params for
LogisticRegression . |
interface |
OnlineLogisticRegressionModelParams<T>
Params for
OnlineLogisticRegressionModel . |
interface |
OnlineLogisticRegressionParams<T>
Params of
OnlineLogisticRegression . |
Modifier and Type | Class and Description |
---|---|
class |
LogisticRegression
An Estimator which implements the logistic regression algorithm.
|
class |
LogisticRegressionModel
A Model which classifies data using the model data computed by
LogisticRegression . |
class |
LogisticRegressionModelServable
A Servable which can be used to classifies data in online inference.
|
class |
OnlineLogisticRegression
An Estimator which implements the online logistic regression algorithm.
|
class |
OnlineLogisticRegressionModel
A Model which classifies data using the model data computed by
OnlineLogisticRegression . |
Modifier and Type | Interface and Description |
---|---|
interface |
NaiveBayesModelParams<T>
Params of
NaiveBayesModel . |
interface |
NaiveBayesParams<T>
Params of
NaiveBayes . |
Modifier and Type | Class and Description |
---|---|
class |
NaiveBayes
An Estimator which implements the naive bayes classification algorithm.
|
class |
NaiveBayesModel
A Model which classifies data using the model data computed by
NaiveBayes . |
Modifier and Type | Interface and Description |
---|---|
interface |
AgglomerativeClusteringParams<T>
Params of
AgglomerativeClustering . |
Modifier and Type | Class and Description |
---|---|
class |
AgglomerativeClustering
An AlgoOperator that performs a hierarchical clustering using a bottom-up approach.
|
Modifier and Type | Interface and Description |
---|---|
interface |
KMeansModelParams<T>
Params of
KMeansModel and OnlineKMeansModel . |
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 |
KMeansModel
A Model which clusters data into k clusters using the model data computed by
KMeans . |
class |
OnlineKMeans
OnlineKMeans extends the function of
KMeans , supporting to train a K-Means model
continuously according to an unbounded stream of train data. |
class |
OnlineKMeansModel
OnlineKMeansModel can be regarded as an advanced
KMeansModel operator which can update
model data in a streaming format, using the model data provided by OnlineKMeans . |
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 |
LinearRegressionModelParams<T>
Params for
LinearRegressionModel . |
interface |
LinearRegressionParams<T>
Params for
LinearRegression . |
Modifier and Type | Class and Description |
---|---|
class |
LinearRegression
An Estimator which implements the linear regression algorithm.
|
class |
LinearRegressionModel
A Model which predicts data using the model data computed by
LinearRegression . |
Modifier and Type | Interface and Description |
---|---|
interface |
ANOVATestParams<T>
Params for
ANOVATest . |
Modifier and Type | Class and Description |
---|---|
class |
ANOVATest
An AlgoOperator which implements the ANOVA test algorithm.
|
Modifier and Type | Interface and Description |
---|---|
interface |
ChiSqTestParams<T>
Params for
ChiSqTest . |
Modifier and Type | Class and Description |
---|---|
class |
ChiSqTest
An AlgoOperator which implements the Chi-square test algorithm.
|
Modifier and Type | Interface and Description |
---|---|
interface |
FValueTestParams<T>
Params for
FValueTest . |
Modifier and Type | Class and Description |
---|---|
class |
FValueTest
An AlgoOperator which implements the F-value test algorithm.
|
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