@Test public void testPredict() { Vector weights = new DenseVector(new double[] {2.0, 3.0}); verifyPredict(getMdl(new LogisticRegressionModel(weights, 1.0).withRawLabels(true))); }
@Override public Double predict(Vector vector) { return internalMdl.predict(vector); }
PipelineMdl implements IgniteModel<Vector, Double>, DeployableObject { @Override public Double predict(Vector vector) { return internalMdl.predict(vector); } }
PipelineMdl implements IgniteModel<Vector, Double>, DeployableObject { @Override public Double predict(Vector vector) { return internalMdl.predict(vector); }  }
PipelineMdl implements IgniteModel<Vector, Double>, DeployableObject { @Override public Double predict(Vector vector) { return internalMdl.predict(vector); }  @Override Double predict(Vector vector); Preprocessor<K, V> getPreprocessor(); IgniteModel<Vector, Double> getInternalMdl(); PipelineMdl<K, V> withInternalMdl(IgniteModel<Vector, Double> internalMdl); PipelineMdl<K, V> withPreprocessor(Preprocessor<K, V> preprocessor); @Override String toString(); @Override List<Object> getDependencies(); }
PipelineMdl implements IgniteModel<Vector, Double>, DeployableObject { @Override public Double predict(Vector vector) { return internalMdl.predict(vector); }  @Override Double predict(Vector vector); Preprocessor<K, V> getPreprocessor(); IgniteModel<Vector, Double> getInternalMdl(); PipelineMdl<K, V> withInternalMdl(IgniteModel<Vector, Double> internalMdl); PipelineMdl<K, V> withPreprocessor(Preprocessor<K, V> preprocessor); @Override String toString(); @Override List<Object> getDependencies();  }