Java Code Examples for biz.k11i.xgboost.learner.ObjFunction#useFastMathExp()
The following examples show how to use
biz.k11i.xgboost.learner.ObjFunction#useFastMathExp() .
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Example 1
Source File: GBPredictorTestBase.java From xgboost-predictor-java with Apache License 2.0 | 5 votes |
@Theory public void testPredict( TestParameter parameter, PredictorConfiguration configuration, boolean useJafama) throws IOException { ObjFunction.useFastMathExp(useJafama); verify( parameter.predictionModel(configuration), parameter.testData(), parameter.expectation(), parameter.task); }
Example 2
Source File: XGBoostEvidenceFilter.java From gatk with BSD 3-Clause "New" or "Revised" License | 5 votes |
public static Predictor loadPredictor(final String modelFileLocation) { ObjFunction.useFastMathExp(USE_FAST_MATH_EXP); try(final InputStream inputStream = modelFileLocation == null ? resourcePathToInputStream(DEFAULT_PREDICTOR_RESOURCE_PATH) : BucketUtils.openFile(modelFileLocation)) { return new Predictor(inputStream); } catch(Exception e) { throw new GATKException( "Unable to load predictor from classifier file " + (modelFileLocation == null ? DEFAULT_PREDICTOR_RESOURCE_PATH : modelFileLocation) + ": " + e.getMessage() ); } }
Example 3
Source File: DartPredictorTest.java From xgboost-predictor-java with Apache License 2.0 | 4 votes |
@After public void tearDown() { ObjFunction.useFastMathExp(false); }
Example 4
Source File: GBLinearPredictorTest.java From xgboost-predictor-java with Apache License 2.0 | 4 votes |
@After public void tearDown() { ObjFunction.useFastMathExp(false); }
Example 5
Source File: GBTreePredictorTest.java From xgboost-predictor-java with Apache License 2.0 | 4 votes |
@After public void tearDown() { ObjFunction.useFastMathExp(false); }
Example 6
Source File: GBPredictorTestBase.java From xgboost-predictor-java with Apache License 2.0 | 4 votes |
@After public void tearDown() { ObjFunction.useFastMathExp(false); }