Modifier and Type | Interface and Description |
---|---|
interface |
Estimator<E extends Estimator<E,M>,M extends Model<M>>
Estimators are responsible for training and generating Models.
|
interface |
Model<T extends Model<T>>
A Model is typically generated by invoking
Estimator.fit(Table...) . |
Modifier and Type | Class and Description |
---|---|
class |
GraphModel
A GraphModel acts as a Model.
|
class |
PipelineModel
A PipelineModel acts as a Model.
|
Modifier and Type | Method and Description |
---|---|
Model<?> |
GraphBuilder.buildModel(TableId[] inputs,
TableId[] outputs)
Wraps nodes of the graph into a Model.
|
Model<?> |
GraphBuilder.buildModel(TableId[] inputs,
TableId[] outputs,
TableId[] inputModelData,
TableId[] outputModelData)
Wraps nodes of the graph into a Model.
|
Modifier and Type | Method and Description |
---|---|
TableId[] |
GraphBuilder.getModelDataFromModel(Model<?> model)
When the graph runs as Estimator, the getModelData() of the given Model would be invoked.
|
void |
GraphBuilder.setModelDataOnModel(Model<?> model,
TableId... inputs)
When the graph runs as Estimator, the setModelData() of the given Model would be invoked with
the given inputs before its transform() is invoked.
|
Modifier and Type | Class and Description |
---|---|
class |
KnnModel
A Model which classifies data using the model data computed by
Knn . |
Modifier and Type | Class and Description |
---|---|
class |
LinearSVCModel
A Model which classifies data using the model data computed by
LinearSVC . |
Modifier and Type | Class and Description |
---|---|
class |
LogisticRegressionModel
A Model which classifies data using the model data computed by
LogisticRegression . |
class |
OnlineLogisticRegressionModel
A Model which classifies data using the model data computed by
OnlineLogisticRegression . |
Modifier and Type | Class and Description |
---|---|
class |
NaiveBayesModel
A Model which classifies data using the model data computed by
NaiveBayes . |
Modifier and Type | Class and Description |
---|---|
class |
KMeansModel
A Model which clusters data into k clusters using the model data computed by
KMeans . |
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 | Class and Description |
---|---|
class |
CountVectorizerModel
A Model which transforms data using the model data computed by
CountVectorizer . |
Modifier and Type | Class and Description |
---|---|
class |
IDFModel
A Model which transforms data using the model data computed by
IDF . |
Modifier and Type | Class and Description |
---|---|
class |
ImputerModel
A Model which replaces the missing values using the model data computed by
Imputer . |
Modifier and Type | Class and Description |
---|---|
class |
KBinsDiscretizerModel
A Model which transforms continuous features into discrete features using the model data computed
by
KBinsDiscretizer . |
Modifier and Type | Class and Description |
---|---|
class |
MinHashLSHModel
A Model which generates hash values using the model data computed by
MinHashLSH . |
Modifier and Type | Class and Description |
---|---|
class |
MaxAbsScalerModel
A Model which transforms data using the model data computed by
MaxAbsScaler . |
Modifier and Type | Class and Description |
---|---|
class |
MinMaxScalerModel
A Model which transforms data using the model data computed by
MinMaxScaler . |
Modifier and Type | Class and Description |
---|---|
class |
OneHotEncoderModel
A Model which encodes data into one-hot format using the model data computed by
OneHotEncoder . |
Modifier and Type | Class and Description |
---|---|
class |
RobustScalerModel
A Model which transforms data using the model data computed by
RobustScaler . |
Modifier and Type | Class and Description |
---|---|
class |
OnlineStandardScalerModel
A Model which transforms data using the model data computed by
OnlineStandardScaler . |
class |
StandardScalerModel
A Model which transforms data using the model data computed by
StandardScaler . |
Modifier and Type | Class and Description |
---|---|
class |
IndexToStringModel
A Model which transforms input index column(s) to string column(s) using the model data computed
by
StringIndexer . |
class |
StringIndexerModel
A Model which transforms input string/numeric column(s) to double column(s) using the model data
computed by
StringIndexer . |
Modifier and Type | Class and Description |
---|---|
class |
UnivariateFeatureSelectorModel
A Model which transforms data using the model data computed by
UnivariateFeatureSelector . |
Modifier and Type | Class and Description |
---|---|
class |
VarianceThresholdSelectorModel
A Model which removes low-variance data using the model data computed by
VarianceThresholdSelector . |
Modifier and Type | Class and Description |
---|---|
class |
VectorIndexerModel
A Model which encodes input vector to an output vector using the model data computed by
VectorIndexer . |
Modifier and Type | Class and Description |
---|---|
class |
LinearRegressionModel
A Model which predicts data using the model data computed by
LinearRegression . |
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