Java Code Examples for org.apache.flink.ml.api.misc.param.Params#clone()
The following examples show how to use
org.apache.flink.ml.api.misc.param.Params#clone() .
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Example 1
Source File: OneVsRestModelMapper.java From Alink with Apache License 2.0 | 6 votes |
public OneVsRestModelMapper(TableSchema modelSchema, TableSchema dataSchema, Params params) { super(modelSchema, dataSchema, params); String predResultColName = params.get(OneVsRestPredictParams.PREDICTION_COL); String[] keepColNames = params.get(OneVsRestPredictParams.RESERVED_COLS); this.predDetail = params.contains(OneVsRestPredictParams.PREDICTION_DETAIL_COL); int numModelCols = modelSchema.getFieldNames().length; TypeInformation labelType = modelSchema.getFieldTypes()[numModelCols - 1]; if (predDetail) { String predDetailColName = params.get(OneVsRestPredictParams.PREDICTION_DETAIL_COL); outputColsHelper = new OutputColsHelper(dataSchema, new String[]{predResultColName, predDetailColName}, new TypeInformation[]{labelType, Types.STRING}, keepColNames); } else { outputColsHelper = new OutputColsHelper(dataSchema, predResultColName, labelType, keepColNames); } this.binClsPredParams = params.clone(); this.binClsPredParams.set(OneVsRestPredictParams.RESERVED_COLS, new String[0]); this.binClsPredParams.set(OneVsRestPredictParams.PREDICTION_COL, "pred_result"); this.binClsPredParams.set(OneVsRestPredictParams.PREDICTION_DETAIL_COL, "pred_detail"); }
Example 2
Source File: TuningEvaluator.java From Alink with Apache License 2.0 | 5 votes |
public TuningEvaluator(Params params) { if (null == params) { this.params = new Params(); } else { this.params = params.clone(); } }
Example 3
Source File: AlgoOperator.java From Alink with Apache License 2.0 | 5 votes |
/** * Construct the operator with the initial Params. */ protected AlgoOperator(Params params) { if (null == params) { this.params = new Params(); } else { this.params = params.clone(); } }
Example 4
Source File: AlgoOperator.java From flink with Apache License 2.0 | 5 votes |
/** * Construct the operator with the initial Params. */ protected AlgoOperator(Params params) { if (null == params) { this.params = new Params(); } else { this.params = params.clone(); } }
Example 5
Source File: PipelineStageBase.java From flink with Apache License 2.0 | 5 votes |
public PipelineStageBase(Params params) { if (null == params) { this.params = new Params(); } else { this.params = params.clone(); } }
Example 6
Source File: BaseDB.java From Alink with Apache License 2.0 | 5 votes |
protected BaseDB(Params params) { if (null == params) { this.params = new Params(); } else { this.params = params.clone(); } this.params.set(HasIoName.IO_NAME, AnnotationUtils.annotatedName(this.getClass())); }
Example 7
Source File: PipelineStageBase.java From Alink with Apache License 2.0 | 5 votes |
public PipelineStageBase(Params params) { if (null == params) { this.params = new Params(); } else { this.params = params.clone(); } }
Example 8
Source File: LassoRegTrainBatchOp.java From Alink with Apache License 2.0 | 4 votes |
public LassoRegTrainBatchOp(Params params) { super(params.clone(), LinearModelType.LinearReg, "LASSO"); }
Example 9
Source File: Mapper.java From Alink with Apache License 2.0 | 4 votes |
public Mapper(TableSchema dataSchema, Params params) { this.dataFieldNames = dataSchema.getFieldNames(); this.dataFieldTypes = dataSchema.getFieldDataTypes(); this.params = (null == params) ? new Params() : params.clone(); }
Example 10
Source File: FlatMapper.java From Alink with Apache License 2.0 | 4 votes |
public FlatMapper(TableSchema dataSchema, Params params) { this.dataFieldNames = dataSchema.getFieldNames(); this.dataFieldTypes = dataSchema.getFieldDataTypes(); this.params = (null == params) ? new Params() : params.clone(); }
Example 11
Source File: LinearRegTrainBatchOp.java From Alink with Apache License 2.0 | 4 votes |
public LinearRegTrainBatchOp(Params params) { super(params.clone(), LinearModelType.LinearReg, "Linear Regression"); }
Example 12
Source File: RidgeRegTrainBatchOp.java From Alink with Apache License 2.0 | 4 votes |
public RidgeRegTrainBatchOp(Params params) { super(params.clone(), LinearModelType.LinearReg, "Ridge Regression"); }
Example 13
Source File: TripleToVectorBatchOp.java From Alink with Apache License 2.0 | 4 votes |
public TripleToVectorBatchOp(Params params) { super(FormatType.VECTOR, params.clone()); }
Example 14
Source File: TripleToColumnsBatchOp.java From Alink with Apache License 2.0 | 4 votes |
public TripleToColumnsBatchOp(Params params) { super(FormatType.COLUMNS, params.clone()); }
Example 15
Source File: TripleToCsvBatchOp.java From Alink with Apache License 2.0 | 4 votes |
public TripleToCsvBatchOp(Params params) { super(FormatType.CSV, params.clone()); }
Example 16
Source File: TripleToJsonBatchOp.java From Alink with Apache License 2.0 | 4 votes |
public TripleToJsonBatchOp(Params params) { super(FormatType.JSON, params.clone()); }
Example 17
Source File: Mapper.java From flink with Apache License 2.0 | 2 votes |
/** * Construct a Mapper. * * @param dataSchema The schema of input rows. * @param params The parameters for this mapper. */ public Mapper(TableSchema dataSchema, Params params) { this.dataFieldNames = dataSchema.getFieldNames(); this.dataFieldTypes = dataSchema.getFieldDataTypes(); this.params = (null == params) ? new Params() : params.clone(); }