THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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/** * A GraphBuilder provides APIs to build Estimator/Model/AlgoOperator from a DAG of stages, each of * which could be an Estimator, Model, Transformer or AlgoOperator. */ @PublicEvolving public final class GraphBuilder { /** * Specifies the loose upper bound (could be loose) of the number of output tables that can be returned by the * returned by the* Model::getModelData() and AlgoOperator::transform() methods, for any stage involved in this * involved in this* Graph. * * <p>The default upper bound is 20. */ public GraphBuilder setMaxOutputLengthsetMaxOutputTableNum(int maxOutputLength) {...} /** * Creates a TableId associated with this GraphBuilder. It can be used to specify the passing of * tables between stages, as well as the input/output tables of the Graph/GraphModel generated * by this builder. * * @return A TableId. */ public TableId createTableId() {...} /** * Adds an AlgoOperator in the graph. * * <p>When the graph runs as Estimator, the transform() of the given AlgoOperator would be * invoked with the given inputs. Then when the GraphModel fitted by this graph runs, the * transform() of the given AlgoOperator would be invoked with the given inputs. * * <p>When the graph runs as AlgoOperator or Model, the transform() of the given AlgoOperator * would be invoked with the given inputs. * * <p>NOTE: the @paramnumber algoOpof Anthe AlgoOperatorreturned instance. TableIds does not represent the *actual @paramnumber inputsof ATables list of TableIds which represents* inputsoutputted toby transform(). ofThis the givennumber could be configured using {@link * #setMaxOutputTableNum(int)}. Users should make sure that this number >= the actual number of * Tables outputted by transform(). * * @param algoOp An AlgoOperator instance. * @param @returninputs A list of TableIds which represents theinputs outputsto of transform() of the given * AlgoOperator. */ @return A list of TableIds which represents the outputs of transform() of the given * AlgoOperator. */ public TableId[] addAlgoOperator(AlgoOperator<?> algoOp, TableId... inputs) {...} /** * Adds an Estimator in the graph. * * <p>When the graph runs as Estimator, the fit() of the given Estimator would be invoked with * the given inputs. Then when the GraphModel fitted by this graph runs, the transform() of the * Model fitted by the given Estimator would be invoked with the given inputs. * * <p>When the graph runs as AlgoOperator or Model, the fit() of the given Estimator would be * invoked with the given inputs, then the transform() of the Model fitted by the given * Estimator would be invoked with the given inputs. * * @param<p>NOTE: estimatorthe Annumber Estimatorof instance. the returned TableIds does not *represent @paramthe inputsactual A listnumber of TableIdsTables which represents inputs to fit()* ofoutputted the given Estimator as *by transform(). This number could be configured using {@link well as inputs to transform() of the Model fitted by the given Estimator.* #setMaxOutputTableNum(int)}. Users should make sure that this number >= the actual number of * @returnTables Aoutputted list of TableIds which represents the outputs of by transform(). of the Model fitted by* * @param estimator An Estimator instance. * @param inputs A list of TableIds which represents inputs to fit() of the given Estimator. as */ well as publicinputs TableId[]to addEstimator(Estimator<?, ?> estimator, TableId... inputs) {...} transform() of the Model fitted by the given Estimator. /** * Adds an Estimator in the graph.* @return A list of TableIds which represents the outputs of transform() of the Model fitted by * the given Estimator. */ public TableId[] addEstimator(Estimator<?, ?> estimator, TableId... inputs) {...} /** * Adds an Estimator in the graph. * * <p>When the graph runs as Estimator, the fit() of the given Estimator would be invoked with * estimatorInputs. Then when the GraphModel fitted by this graph runs, the transform() of the * Model fitted by the given Estimator would be invoked with modelInputs. * * <p>When the graph runs as AlgoOperator or Model, the fit() of the given Estimator would be * invoked with estimatorInputs, then the transform() of the Model fitted by the given Estimator * would be invoked with modelInputs. * * <p>NOTE: the number of the returned TableIds does not represent the actual number of Tables * outputted by transform(). This number could be configured using {@link * #setMaxOutputTableNum(int)}. Users should make sure that this number >= the actual number of * Tables outputted by transform(). * <p>When the graph runs* as Estimator, the fit() of the given Estimator would be invoked with * @param estimator An Estimator instance. * @param estimatorInputs. ThenA whenlist theof GraphModelTableIds fittedwhich byrepresents thisinputs graph runs, the transformto fit() of the given * Model fitted by theEstimator. given Estimator would be invoked* with@param modelInputs. A list of TableIds * which represents inputs to transform() of the *Model <p>When the graph runs as* AlgoOperator or Model, the fit()fitted ofby the given Estimator. would be * @return *A list invokedof withTableIds estimatorInputs,which thenrepresents the outputs of transform() of the Model fitted by the given Estimator * * would be invokedthe withgiven modelInputsEstimator. */ public * @param estimator An Estimator instance. TableId[] addEstimator( * @param estimatorInputs A list of TableIds which represents inputs to fit() of the givenEstimator<?, ?> estimator, TableId[] estimatorInputs, TableId[] modelInputs) {...} /** * When the graph runs as Estimator. , AlgoOperator or Model, the setModelData() *of @paramthe modelInputsgiven A list of TableIds which* representsModel inputswould tobe transform()invoked ofwith the Modelgiven inputs. * * fitted@param bymodel theA givenModel Estimatorinstance. * @param @returninputs A list of TableIds which represents theinputs outputsto of transformsetModelData() of the Model fitted bygiven * the given EstimatorModel. */ public TableId[]void addEstimator( Estimator<?, ?> estimator, TableId[] estimatorInputs, TableId[] modelInputssetModelData(Model<?> model, TableId... inputs) {...} /** * When the graph runs as Estimator, AlgoOperator or Model, the setModelDatagetModelData() of the given * Model would be invoked with the given inputs. * * @param<p>NOTE: modelthe Anumber Modelof instance. * @param inputs A list ofthe returned TableIds whichdoes representsnot inputs to setModelData() of represent the given actual number * Model. */of Tables public void setModelData(Model<?> model, TableId... inputs) {...} /*** outputted by getModelData(). This number could be configured using {@link * When the graph runs as Estimator, AlgoOperator or Model, the getModelData() of the given#setMaxOutputTableNum(int)}. Users should make sure that this number >= the actual number of * ModelTables wouldoutputted beby invokedgetModelData(). * * @param model A Model instance. * @return A list of TableIds which represents the outputs of getModelData() of the given Model. */ public TableId[] getModelData(Model<?> model) {...} /** * Wraps nodes of the graph into an Estimator. * * <p>When the returned Estimator runs, and when the Model fitted by the returned Estimator * runs, the sequence of operations recorded by the {@code addAlgoOperator(...)}, {@code * addEstimator(...)}, {@code setModelData(...)} and {@code getModelData(...)} would be executed * as specified in the Java doc of the corresponding methods. * * @param inputs A list of TableIds which represents inputs to fit() of the returned Estimator * as well as inputs to transform() of the Model fitted by the returned Estimator. * @param outputs A list of TableIds which represents outputs of transform() of the Model fitted * by the returned Estimator. * @return An Estimator which wraps the nodes of this graph. */ public Estimator<?, ?> buildEstimator(TableId[] inputs, TableId[] outputs) {...} /** * Wraps nodes of the graph into an Estimator. * * <p>When the returned Estimator runs, and when the Model fitted by the returned Estimator * runs, the sequence of operations recorded by the {@code addAlgoOperator(...)}, {@code * addEstimator(...)}, {@code setModelData(...)} and {@code getModelData(...)} would be executed * as specified in the Java doc of the corresponding methods. * * @param inputs A list of TableIds which represents inputs to fit() of the returned Estimator * as well as inputs to transform() of the Model fitted by the returned Estimator. * @param outputs A list of TableIds which represents outputs of transform() of the Model fitted * by the returned Estimator. * @param inputModelData A list of TableIds which represents inputs to setModelData() of the * Model fitted by the returned Estimator. * @param outputModelData A list of TableIds which represents outputs of getModelData() of the * Model fitted by the returned Estimator. * @return An Estimator which wraps the nodes of this graph. */ public Estimator<?, ?> buildEstimator( TableId[] inputs, TableId[] outputs, TableId[] inputModelData, TableId[] outputModelData) {...} /** * Wraps nodes of the graph into an Estimator. * * <p>When the returned Estimator runs, and when the Model fitted by the returned Estimator * runs, the sequence of operations recorded by the {@code addAlgoOperator(...)}, {@code * addEstimator(...)}, {@code setModelData(...)} and {@code getModelData(...)} would be executed * as specified in the Java doc of the corresponding methods. * * @param estimatorInputs A list of TableIds which represents inputs to fit() of the returned * Estimator. * @param modelInputs A list of TableIds which represents inputs to transform() of the Model * fitted by the returned Estimator. * @param outputs A list of TableIds which represents outputs of transform() of the Model fitted * by the returned Estimator. * @param inputModelData A list of TableIds which represents inputs to setModelData() of the * Model fitted by the returned Estimator. * @param outputModelData A list of TableIds which represents outputs of getModelData() of the * Model fitted by the returned Estimator. * @return An Estimator which wraps the nodes of this graph. */ public Estimator<?, ?> buildEstimator( TableId[] estimatorInputs, TableId[] modelInputs, TableId[] outputs, TableId[] inputModelData, TableId[] outputModelData) {...} /** * Wraps nodes of the graph into an AlgoOperator. * * <p>When the returned AlgoOperator runs, the sequence of operations recorded by the {@code * addAlgoOperator(...)} and {@code addEstimator(...)} would be executed as specified in the * Java doc of the corresponding methods. * * @param inputs A list of TableIds which represents inputs to transform() of the returned * AlgoOperator. * @param outputs A list of TableIds which represents outputs of transform() of the returned * AlgoOperator. * @return An AlgoOperator which wraps the nodes of this graph. */ public AlgoOperator<?> buildAlgoOperator(TableId[] inputs, TableId[] outputs) {...} /** * Wraps nodes of the graph into a Model. * * <p>When the returned Model runs, the sequence of operations recorded by the {@code * addAlgoOperator(...)} and {@code addEstimator(...)} would be executed as specified in the * Java doc of the corresponding methods. * * @param inputs A list of TableIds which represents inputs to transform() of the returned * Model. * @param outputs A list of TableIds which represents outputs of transform() of the returned * Model. * @return A Model which wraps the nodes of this graph. */ public Model<?> buildModel(TableId[] inputs, TableId[] outputs) {...} /** * Wraps nodes of the graph into a Model. * * <p>When the returned Model runs, the sequence of operations recorded by the {@code * addAlgoOperator(...)}, {@code addEstimator(...)}, {@code setModelData(...)} and {@code * getModelData(...)} would be executed as specified in the Java doc of the corresponding * methods. * * @param inputs A list of TableIds which represents inputs to transform() of the returned * Model. * @param outputs A list of TableIds which represents outputs of transform() of the returned * Model. * @param inputModelData A list of TableIds which represents inputs to setModelData() of the * returned Model. * @param outputModelData A list of TableIds which represents outputs of getModelData() of the * returned Model. * @return A Model which wraps the nodes of this graph. */ public Model<?> buildModel( TableId[] inputs, TableId[] outputs, TableId[] inputModelData, TableId[] outputModelData) {...} } |
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