Examples with RegressionModel org.dmg.pmml.pmml_4_2.descr.RegressionModel used on opensource projects

Example 1 with RegressionModel

use of org.dmg.pmml.pmml_4_2.descr.RegressionModel 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);
}

Example 2 with RegressionModel

use of org.dmg.pmml.pmml_4_2.descr.RegressionModel 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);
}

Example 3 with RegressionModel

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

the class PMML4ModelFactory method getModels.

public List<PMML4Model> getModels(PMML4Unit owner) {
    List<PMML4Model> pmml4Models = new ArrayList<>();
    owner.getRawPMML().getAssociationModelsAndBaselineModelsAndClusteringModels().forEach(serializable -> {
        if (serializable instanceof Scorecard) {
            Scorecard sc = (Scorecard) serializable;
            ScorecardModel model = new ScorecardModel(sc.getModelName(), sc, null, owner);
            pmml4Models.add(model);
        } else if (serializable instanceof RegressionModel) {
            RegressionModel rm = (RegressionModel) serializable;
            Regression model = new Regression(rm.getModelName(), rm, null, owner);
            pmml4Models.add(model);
        } else if (serializable instanceof TreeModel) {
            TreeModel tm = (TreeModel) serializable;
            Treemodel model = new Treemodel(tm.getModelName(), tm, null, owner);
            pmml4Models.add(model);
        } else if (serializable instanceof MiningModel) {
            MiningModel mm = (MiningModel) serializable;
            Miningmodel model = new Miningmodel(mm.getModelName(), mm, null, owner);
            pmml4Models.add(model);
        }
    });
    return pmml4Models;
}

Example 4 with RegressionModel

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

the class PMML4ModelFactory method getModel.

public PMML4Model getModel(Segment segment, MiningSegmentation segmentation) {
    PMML4Model model = null;
    if (segment.getMiningModel() != null) {
        MiningModel mm = segment.getMiningModel();
        model = new Miningmodel(mm.getModelName(), mm, segmentation.getOwner(), null);
    } else if (segment.getRegressionModel() != null) {
        RegressionModel rm = segment.getRegressionModel();
        model = new Regression(rm.getModelName(), rm, segmentation.getOwner(), null);
    } else if (segment.getScorecard() != null) {
        Scorecard sc = segment.getScorecard();
        model = new ScorecardModel(sc.getModelName(), sc, segmentation.getOwner(), null);
    } else if (segment.getTreeModel() != null) {
        TreeModel tm = segment.getTreeModel();
        model = new Treemodel(tm.getModelName(), tm, segmentation.getOwner(), null);
    }
    return model;
}