Examples with CreateModel ambit2.db.update.model.CreateModel used on opensource projects

Example 1 with CreateModel

use of ambit2.db.update.model.CreateModel in project ambit-mirror by ideaconsult.

the class Model_crud_test method createQuery.

@Override
protected IQueryUpdate<Object, ModelQueryResults> createQuery() throws Exception {
    ModelQueryResults q = new ModelQueryResults();
    q.setAlgorithm("http://localhost:8080/algorithm/pka");
    q.setName("Test model");
    q.setContent("Nothing");
    q.setParameters(new String[] { "-M" });
    q.setPredictors(new Template("New template"));
    q.setDependent(new Template("BCF"));
    q.setPredicted(new PredictedVarsTemplate("BCF"));
    q.setCreator("test-user");
    return new CreateModel(q);
}

Example 2 with CreateModel

use of ambit2.db.update.model.CreateModel in project ambit-mirror by ideaconsult.

the class Model_crud_test method createQueryNew.

@Override
protected IQueryUpdate<Object, ModelQueryResults> createQueryNew() throws Exception {
    ModelQueryResults q = new ModelQueryResults();
    q.setName("Test model");
    q.setContent("Nothing");
    Template t1 = new Template("Predictors template");
    t1.add(new Property("New predictor 1"));
    t1.add(new Property("New predictor 2"));
    q.setPredictors(t1);
    Template t2 = new Template("Dependent template");
    t2.add(new Property("New dependent"));
    q.setDependent(t2);
    PredictedVarsTemplate t3 = new PredictedVarsTemplate("Predicted template");
    t3.add(new Property("New predicted"));
    q.setPredicted(t3);
    return new CreateModel(q);
}

Example 3 with CreateModel

use of ambit2.db.update.model.CreateModel in project ambit-mirror by ideaconsult.

the class CallableWekaModelCreator method createReference.

@Override
protected TaskResult createReference(Connection connection) throws Exception {
    builder.setTrainingData(((RDFInstancesParser) batch).getInstances());
    UpdateExecutor<CreateModel> x = new UpdateExecutor<CreateModel>();
    try {
        model = createModel();
        CreateModel update = new CreateModel(model);
        x.setConnection(connection);
        x.process(update);
        writeAnnotations(model.getPredicted(), x);
        return new TaskResult(builder.getModelReporter().getURI(model));
    } catch (WekaException e) {
        throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, e.getMessage(), e);
    } catch (AmbitException e) {
        Context.getCurrentLogger().severe(e.getMessage());
        if ((e.getCause() != null) && (e.getCause() instanceof WekaException))
            throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, e.getCause().getMessage(), e.getCause());
        else
            throw e;
    } catch (Exception e) {
        Context.getCurrentLogger().severe(e.getMessage());
        throw e;
    } finally {
        try {
            x.close();
        } catch (Exception xx) {
        }
    }
}

Example 4 with CreateModel

use of ambit2.db.update.model.CreateModel in project ambit-mirror by ideaconsult.

the class SimpleModelBuilder method process.

public ModelQueryResults process(Algorithm algorithm) throws AmbitException {
    try {
        List<Property> p = createProperties(algorithm);
        if ((p == null) || (p.size() == 0))
            throw new ResourceException(Status.SERVER_ERROR_INTERNAL, "Can't create a model from " + algorithm);
        ModelQueryResults mr = createModel(algorithm);
        Template dependent = new Template("Empty");
        mr.setDependent(dependent);
        PredictedVarsTemplate predicted = createPredictedTemplate(algorithm);
        mr.setPredicted(predicted);
        for (Property property : p) {
            property.setEnabled(true);
            if (property.getName() == null)
                continue;
            predicted.add(property);
            if (algorithm.getEndpoint() != null)
                property.setLabel(algorithm.getEndpoint());
            property.getReference().setType(modelHidden ? _type.Algorithm : _type.Model);
        }
        return mr;
    } catch (AmbitException x) {
        throw x;
    } catch (Exception x) {
        throw new ResourceException(Status.SERVER_ERROR_INTERNAL, x.getCause() == null ? x.getMessage() : x.getCause().getMessage(), x);
    }
}

Example 5 with CreateModel

use of ambit2.db.update.model.CreateModel in project ambit-mirror by ideaconsult.

the class CallableWafflesModelCreator method createReference.

/**
 *	TODO download ARFF directly, instead of reading Weka instances in memory
 *	protected AbstractBatchProcessor createBatch(Object target) throws Exception{
 *		if (target == null) throw new Exception("No dataset URI");
 *
 *		File.createTempFile(prefix, suffix);
 *		DownloadTool.download(url, file);
 *		builder.setTrainingData(trainingData);
 *		return null;
 *	}
 */
@Override
protected TaskResult createReference(Connection connection) throws Exception {
    File trainingData = File.createTempFile("wfltrain_", ".arff");
    trainingData.deleteOnExit();
    Instances instances = ((RDFInstancesParser) batch).getInstances();
    instances.deleteAttributeAt(0);
    // sort attributes by name (i.e. attribute URI).
    List<Attribute> sorted = new ArrayList<Attribute>();
    for (int i = 0; i < instances.numAttributes(); i++) sorted.add(instances.attribute(i));
    Collections.sort(sorted, new Comparator<Attribute>() {

        @Override
        public int compare(Attribute o1, Attribute o2) {
            return o1.name().compareTo(o2.toString());
        }
    });
    StringBuilder order = null;
    for (int i = 0; i < sorted.size(); i++) {
        if (order == null)
            order = new StringBuilder();
        else
            order.append(",");
        order.append(sorted.get(i).index() + 1);
    }
    Reorder reorder = new Reorder();
    String[] options = new String[2];
    options[0] = "-R";
    options[1] = order.toString();
    reorder.setOptions(options);
    reorder.setInputFormat(instances);
    instances = Filter.useFilter(instances, reorder);
    SparseToNonSparse sp = new SparseToNonSparse();
    sp.setInputFormat(instances);
    Instances newInstances = Filter.useFilter(instances, sp);
    ArffSaver saver = new ArffSaver();
    saver.setInstances(newInstances);
    saver.setFile(trainingData);
    saver.writeBatch();
    // Leave the header only
    newInstances.delete();
    builder.setHeader(newInstances);
    builder.setTrainingData(trainingData);
    UpdateExecutor<CreateModel> x = new UpdateExecutor<CreateModel>();
    try {
        model = createModel();
        // trainingData.delete();
        CreateModel update = new CreateModel(model);
        x.setConnection(connection);
        x.process(update);
        writeAnnotations(model.getPredicted(), x);
        return new TaskResult(builder.getModelReporter().getURI(model));
    } catch (WekaException e) {
        throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, e.getMessage(), e);
    } catch (Exception e) {
        Context.getCurrentLogger().severe(e.getMessage());
        throw e;
    } finally {
        try {
            x.close();
        } catch (Exception xx) {
        }
    }
}