Examples with AsyncModelBuilder org.apache.ignite.ml.inference.builder.AsyncModelBuilder used on opensource projects

Example 1 with AsyncModelBuilder

use of org.apache.ignite.ml.inference.builder.AsyncModelBuilder in project ignite by apache.

the class CatboostClassificationModelParserExample method main.

/**
 * Run example.
 */
public static void main(String... args) throws ExecutionException, InterruptedException, FileNotFoundException {
    try (Ignite ignite = Ignition.start("examples/config/example-ignite.xml")) {
        File mdlRsrc = IgniteUtils.resolveIgnitePath(TEST_MODEL_RES);
        if (mdlRsrc == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_MODEL_RES + "]");
        ModelReader reader = new FileSystemModelReader(mdlRsrc.getPath());
        AsyncModelBuilder mdlBuilder = new IgniteDistributedModelBuilder(ignite, 4, 4);
        File testData = IgniteUtils.resolveIgnitePath(TEST_DATA_RES);
        if (testData == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_DATA_RES + "]");
        File testExpRes = IgniteUtils.resolveIgnitePath(TEST_ER_RES);
        if (testExpRes == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_ER_RES + "]");
        try (Model<NamedVector, Future<Double>> mdl = mdlBuilder.build(reader, parser);
            Scanner testDataScanner = new Scanner(testData);
            Scanner testExpResultsScanner = new Scanner(testExpRes)) {
            String header = testDataScanner.nextLine();
            String[] columns = header.split(",");
            while (testDataScanner.hasNextLine()) {
                String testDataStr = testDataScanner.nextLine();
                String testExpResultsStr = testExpResultsScanner.nextLine();
                HashMap<String, Double> testObj = new HashMap<>();
                String[] values = testDataStr.split(",");
                for (int i = 0; i < columns.length; i++) {
                    testObj.put(columns[i], Double.valueOf(values[i]));
                }
                double prediction = mdl.predict(VectorUtils.of(testObj)).get();
                double expPrediction = Double.parseDouble(testExpResultsStr);
                System.out.println("Expected: " + expPrediction + ", prediction: " + prediction);
            }
        }
    } finally {
        System.out.flush();
    }
}

Example 2 with AsyncModelBuilder

use of org.apache.ignite.ml.inference.builder.AsyncModelBuilder in project ignite by apache.

the class XGBoostModelParserExample method main.

/**
 * Run example.
 */
public static void main(String... args) throws ExecutionException, InterruptedException, FileNotFoundException {
    try (Ignite ignite = Ignition.start("examples/config/example-ignite.xml")) {
        File mdlRsrc = IgniteUtils.resolveIgnitePath(TEST_MODEL_RES);
        if (mdlRsrc == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_MODEL_RES + "]");
        ModelReader reader = new FileSystemModelReader(mdlRsrc.getPath());
        AsyncModelBuilder mdlBuilder = new IgniteDistributedModelBuilder(ignite, 4, 4);
        File testData = IgniteUtils.resolveIgnitePath(TEST_DATA_RES);
        if (testData == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_DATA_RES + "]");
        File testExpRes = IgniteUtils.resolveIgnitePath(TEST_ER_RES);
        if (testExpRes == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_ER_RES + "]");
        try (Model<NamedVector, Future<Double>> mdl = mdlBuilder.build(reader, parser);
            Scanner testDataScanner = new Scanner(testData);
            Scanner testExpResultsScanner = new Scanner(testExpRes)) {
            while (testDataScanner.hasNextLine()) {
                String testDataStr = testDataScanner.nextLine();
                String testExpResultsStr = testExpResultsScanner.nextLine();
                HashMap<String, Double> testObj = new HashMap<>();
                for (String keyValueString : testDataStr.split(" ")) {
                    String[] keyVal = keyValueString.split(":");
                    if (keyVal.length == 2)
                        testObj.put("f" + keyVal[0], Double.parseDouble(keyVal[1]));
                }
                double prediction = mdl.predict(VectorUtils.of(testObj)).get();
                double expPrediction = Double.parseDouble(testExpResultsStr);
                System.out.println("Expected: " + expPrediction + ", prediction: " + prediction);
            }
        }
    } finally {
        System.out.flush();
    }
}

Example 3 with AsyncModelBuilder

use of org.apache.ignite.ml.inference.builder.AsyncModelBuilder in project ignite by apache.

the class H2OMojoModelParserExample method main.

/**
 * Run example.
 */
public static void main(String... args) throws ExecutionException, InterruptedException, FileNotFoundException {
    try (Ignite ignite = Ignition.start("examples/config/example-ignite.xml")) {
        File mdlRsrc = IgniteUtils.resolveIgnitePath(MODEL_RES);
        if (mdlRsrc == null)
            throw new IllegalArgumentException("File not found [resource_path=" + MODEL_RES + "]");
        ModelReader reader = new FileSystemModelReader(mdlRsrc.getPath());
        AsyncModelBuilder mdlBuilder = new IgniteDistributedModelBuilder(ignite, 4, 4);
        File testData = IgniteUtils.resolveIgnitePath(DATA_RES);
        if (testData == null)
            throw new IllegalArgumentException("File not found [resource_path=" + DATA_RES + "]");
        try (Model<NamedVector, Future<Double>> mdl = mdlBuilder.build(reader, parser);
            Scanner testDataScanner = new Scanner(testData)) {
            while (testDataScanner.hasNextLine()) {
                String testDataStr = testDataScanner.nextLine();
                String actual = null;
                HashMap<String, Double> testObj = new HashMap<>();
                for (String keyValueString : testDataStr.split(" ")) {
                    String[] keyVal = keyValueString.split(":");
                    if (keyVal.length == 2)
                        testObj.put("C" + (1 + Integer.parseInt(keyVal[0])), Double.parseDouble(keyVal[1]));
                    else
                        actual = keyValueString;
                }
                double prediction = mdl.predict(VectorUtils.of(testObj)).get();
                System.out.println("Actual: " + actual + ", prediction: " + prediction);
            }
        }
    } finally {
        System.out.flush();
    }
}

Example 4 with AsyncModelBuilder

use of org.apache.ignite.ml.inference.builder.AsyncModelBuilder in project ignite by apache.

the class CatboostRegressionModelParserExample method main.

/**
 * Run example.
 */
public static void main(String... args) throws ExecutionException, InterruptedException, FileNotFoundException {
    try (Ignite ignite = Ignition.start("examples/config/example-ignite.xml")) {
        File mdlRsrc = IgniteUtils.resolveIgnitePath(TEST_MODEL_RES);
        if (mdlRsrc == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_MODEL_RES + "]");
        ModelReader reader = new FileSystemModelReader(mdlRsrc.getPath());
        AsyncModelBuilder mdlBuilder = new IgniteDistributedModelBuilder(ignite, 4, 4);
        File testData = IgniteUtils.resolveIgnitePath(TEST_DATA_RES);
        if (testData == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_DATA_RES + "]");
        File testExpRes = IgniteUtils.resolveIgnitePath(TEST_ER_RES);
        if (testExpRes == null)
            throw new IllegalArgumentException("File not found [resource_path=" + TEST_ER_RES + "]");
        try (Model<NamedVector, Future<Double>> mdl = mdlBuilder.build(reader, parser);
            Scanner testDataScanner = new Scanner(testData);
            Scanner testExpResultsScanner = new Scanner(testExpRes)) {
            String[] columns = new String[] { "f_0", "f_1", "f_2", "f_3", "f_4", "f_5", "f_6", "f_7", "f_8", "f_9", "f_10", "f_11", "f_12" };
            while (testDataScanner.hasNextLine()) {
                String testDataStr = testDataScanner.nextLine();
                String testExpResultsStr = testExpResultsScanner.nextLine();
                HashMap<String, Double> testObj = new HashMap<>();
                String[] values = testDataStr.split(",");
                for (int i = 0; i < columns.length; i++) {
                    testObj.put(columns[i], Double.valueOf(values[i]));
                }
                double prediction = mdl.predict(VectorUtils.of(testObj)).get();
                double expPrediction = Double.parseDouble(testExpResultsStr);
                System.out.println("Expected: " + expPrediction + ", prediction: " + prediction);
            }
        }
    } finally {
        System.out.flush();
    }
}