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.
|
Modifier and Type | Class and Description |
---|---|
class |
Graph
A Graph acts as an Estimator.
|
class |
Pipeline
A Pipeline acts as an Estimator.
|
Modifier and Type | Method and Description |
---|---|
Estimator<?,?> |
GraphBuilder.buildEstimator(TableId[] inputs,
TableId[] outputs)
Wraps nodes of the graph into an Estimator.
|
Estimator<?,?> |
GraphBuilder.buildEstimator(TableId[] inputs,
TableId[] outputs,
TableId[] inputModelData,
TableId[] outputModelData)
Wraps nodes of the graph into an Estimator.
|
Estimator<?,?> |
GraphBuilder.buildEstimator(TableId[] estimatorInputs,
TableId[] modelInputs,
TableId[] outputs,
TableId[] inputModelData,
TableId[] outputModelData)
Wraps nodes of the graph into an Estimator.
|
Modifier and Type | Method and Description |
---|---|
TableId[] |
GraphBuilder.addEstimator(Estimator<?,?> estimator,
TableId... inputs)
Adds an Estimator in the graph.
|
TableId[] |
GraphBuilder.addEstimator(Estimator<?,?> estimator,
TableId[] estimatorInputs,
TableId[] modelInputs)
Adds an Estimator in the graph.
|
TableId[] |
GraphBuilder.getModelDataFromEstimator(Estimator<?,?> estimator)
When the graph runs as Estimator, it first generates a GraphModel that contains the Model
fitted by the given Estimator.
|
void |
GraphBuilder.setModelDataOnEstimator(Estimator<?,?> estimator,
TableId... inputs)
When the graph runs as Estimator, it first generates a GraphModel that contains the Model
fitted by the given Estimator.
|
Modifier and Type | Class and Description |
---|---|
class |
Knn
An Estimator which implements the KNN algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
LogisticRegression
An Estimator which implements the logistic regression algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
NaiveBayes
An Estimator which implements the naive bayes classification algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
KMeans
An Estimator which implements the k-means clustering algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
OneHotEncoder
An Estimator which implements the one-hot encoding algorithm.
|
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