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 |
LogisticRegressionModel
A Model which classifies data using the model data computed by
LogisticRegression . |
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 . |
Modifier and Type | Class and Description |
---|---|
class |
OneHotEncoderModel
A Model which encodes data into one-hot format using the model data computed by
OneHotEncoder . |
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