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Example 1 with SupportVectorMachineModel

use of org.kie.dmg.pmml.pmml_4_2.descr.SupportVectorMachineModel in project drools by kiegroup.

the class PMML4Compiler method checkBuildingResources.

private static KieBase checkBuildingResources(PMML pmml) throws IOException {
    KieServices ks = KieServices.Factory.get();
    KieContainer kieContainer = ks.getKieClasspathContainer();
    if (registry == null) {
        initRegistry();
    }
    String chosenKieBase = null;
    for (Object o : pmml.getAssociationModelsAndBaselineModelsAndClusteringModels()) {
        if (o instanceof NaiveBayesModel) {
            if (!naiveBayesLoaded) {
                for (String ntempl : NAIVE_BAYES_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                naiveBayesLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "PMML-Bayes" : "PMML";
        }
        if (o instanceof NeuralNetwork) {
            if (!neuralLoaded) {
                for (String ntempl : NEURAL_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                neuralLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "PMML-Neural" : "PMML";
        }
        if (o instanceof ClusteringModel) {
            if (!clusteringLoaded) {
                for (String ntempl : CLUSTERING_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                clusteringLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "PMML-Cluster" : "PMML";
        }
        if (o instanceof SupportVectorMachineModel) {
            if (!svmLoaded) {
                for (String ntempl : SVM_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                svmLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "PMML-SVM" : "PMML";
        }
        if (o instanceof TreeModel) {
            if (!treeLoaded) {
                for (String ntempl : TREE_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                treeLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "PMML-Tree" : "PMML";
        }
        if (o instanceof RegressionModel) {
            if (!simpleRegLoaded) {
                for (String ntempl : SIMPLEREG_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                simpleRegLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "PMML-Regression" : "PMML";
        }
        if (o instanceof Scorecard) {
            if (!scorecardLoaded) {
                for (String ntempl : SCORECARD_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                scorecardLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "PMML-Scorecard" : "PMML";
        }
    }
    if (chosenKieBase == null) {
        chosenKieBase = "PMML-Base";
    }
    return kieContainer.getKieBase(chosenKieBase);
}
Also used : TreeModel(org.dmg.pmml.pmml_4_2.descr.TreeModel) KieServices(org.kie.api.KieServices) NaiveBayesModel(org.dmg.pmml.pmml_4_2.descr.NaiveBayesModel) NeuralNetwork(org.dmg.pmml.pmml_4_2.descr.NeuralNetwork) SupportVectorMachineModel(org.dmg.pmml.pmml_4_2.descr.SupportVectorMachineModel) Scorecard(org.dmg.pmml.pmml_4_2.descr.Scorecard) KieContainer(org.kie.api.runtime.KieContainer) ClusteringModel(org.dmg.pmml.pmml_4_2.descr.ClusteringModel) RegressionModel(org.dmg.pmml.pmml_4_2.descr.RegressionModel)

Example 2 with SupportVectorMachineModel

use of org.kie.dmg.pmml.pmml_4_2.descr.SupportVectorMachineModel in project drools by kiegroup.

the class PMML4Compiler method checkBuildingResources.

private static KieBase checkBuildingResources(PMML pmml) throws IOException {
    KieServices ks = KieServices.Factory.get();
    KieContainer kieContainer = ks.getKieClasspathContainer();
    if (registry == null) {
        initRegistry();
    }
    String chosenKieBase = null;
    for (Object o : pmml.getAssociationModelsAndBaselineModelsAndClusteringModels()) {
        if (o instanceof NaiveBayesModel) {
            if (!naiveBayesLoaded) {
                for (String ntempl : NAIVE_BAYES_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                naiveBayesLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "KiePMML-Bayes" : "KiePMML";
        }
        if (o instanceof NeuralNetwork) {
            if (!neuralLoaded) {
                for (String ntempl : NEURAL_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                neuralLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "KiePMML-Neural" : "KiePMML";
        }
        if (o instanceof ClusteringModel) {
            if (!clusteringLoaded) {
                for (String ntempl : CLUSTERING_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                clusteringLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "KiePMML-Cluster" : "KiePMML";
        }
        if (o instanceof SupportVectorMachineModel) {
            if (!svmLoaded) {
                for (String ntempl : SVM_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                svmLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "KiePMML-SVM" : "KiePMML";
        }
        if (o instanceof TreeModel) {
            if (!treeLoaded) {
                for (String ntempl : TREE_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                treeLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "KiePMML-Tree" : "KiePMML";
        }
        if (o instanceof RegressionModel) {
            if (!simpleRegLoaded) {
                for (String ntempl : SIMPLEREG_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                simpleRegLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "KiePMML-Regression" : "KiePMML";
        }
        if (o instanceof Scorecard) {
            if (!scorecardLoaded) {
                for (String ntempl : SCORECARD_TEMPLATES) {
                    prepareTemplate(ntempl);
                }
                scorecardLoaded = true;
            }
            chosenKieBase = chosenKieBase == null ? "KiePMML-Scorecard" : "KiePMML";
        }
    }
    if (chosenKieBase == null) {
        chosenKieBase = "KiePMML-Base";
    }
    return kieContainer.getKieBase(chosenKieBase);
}
Also used : TreeModel(org.kie.dmg.pmml.pmml_4_2.descr.TreeModel) KieServices(org.kie.api.KieServices) NaiveBayesModel(org.kie.dmg.pmml.pmml_4_2.descr.NaiveBayesModel) NeuralNetwork(org.kie.dmg.pmml.pmml_4_2.descr.NeuralNetwork) SupportVectorMachineModel(org.kie.dmg.pmml.pmml_4_2.descr.SupportVectorMachineModel) Scorecard(org.kie.dmg.pmml.pmml_4_2.descr.Scorecard) KieContainer(org.kie.api.runtime.KieContainer) ClusteringModel(org.kie.dmg.pmml.pmml_4_2.descr.ClusteringModel) RegressionModel(org.kie.dmg.pmml.pmml_4_2.descr.RegressionModel)

Aggregations

KieServices (org.kie.api.KieServices)2 KieContainer (org.kie.api.runtime.KieContainer)2 ClusteringModel (org.dmg.pmml.pmml_4_2.descr.ClusteringModel)1 NaiveBayesModel (org.dmg.pmml.pmml_4_2.descr.NaiveBayesModel)1 NeuralNetwork (org.dmg.pmml.pmml_4_2.descr.NeuralNetwork)1 RegressionModel (org.dmg.pmml.pmml_4_2.descr.RegressionModel)1 Scorecard (org.dmg.pmml.pmml_4_2.descr.Scorecard)1 SupportVectorMachineModel (org.dmg.pmml.pmml_4_2.descr.SupportVectorMachineModel)1 TreeModel (org.dmg.pmml.pmml_4_2.descr.TreeModel)1 ClusteringModel (org.kie.dmg.pmml.pmml_4_2.descr.ClusteringModel)1 NaiveBayesModel (org.kie.dmg.pmml.pmml_4_2.descr.NaiveBayesModel)1 NeuralNetwork (org.kie.dmg.pmml.pmml_4_2.descr.NeuralNetwork)1 RegressionModel (org.kie.dmg.pmml.pmml_4_2.descr.RegressionModel)1 Scorecard (org.kie.dmg.pmml.pmml_4_2.descr.Scorecard)1 SupportVectorMachineModel (org.kie.dmg.pmml.pmml_4_2.descr.SupportVectorMachineModel)1 TreeModel (org.kie.dmg.pmml.pmml_4_2.descr.TreeModel)1