use of hex.aggregator.AggregatorModel in project h2o-3 by h2oai.
the class AggregatorTest method testChunks.
@Test
public void testChunks() {
Frame frame = parse_test_file("smalldata/covtype/covtype.20k.data");
AggregatorModel.AggregatorParameters parms = new AggregatorModel.AggregatorParameters();
parms._train = frame._key;
parms._target_num_exemplars = 137;
parms._rel_tol_num_exemplars = 0.05;
long start = System.currentTimeMillis();
// 0.418
AggregatorModel agg = new Aggregator(parms).trainModel().get();
System.out.println("AggregatorModel finished in: " + (System.currentTimeMillis() - start) / 1000. + " seconds");
agg.checkConsistency();
Frame output = agg._output._output_frame.get();
checkNumExemplars(agg);
output.remove();
agg.remove();
for (int i : new int[] { 1, 2, 5, 10, 50, 100 }) {
Key key = Key.make();
RebalanceDataSet rb = new RebalanceDataSet(frame, key, i);
H2O.submitTask(rb);
rb.join();
Frame rebalanced = DKV.get(key).get();
parms = new AggregatorModel.AggregatorParameters();
parms._train = frame._key;
parms._target_num_exemplars = 137;
parms._rel_tol_num_exemplars = 0.05;
start = System.currentTimeMillis();
// 0.373 0.504 0.357 0.454 0.368 0.355
AggregatorModel agg2 = new Aggregator(parms).trainModel().get();
System.out.println("AggregatorModel finished in: " + (System.currentTimeMillis() - start) / 1000. + " seconds");
agg2.checkConsistency();
Log.info("Number of exemplars for " + i + " chunks: " + agg2._exemplars.length);
rebalanced.delete();
Assert.assertTrue(Math.abs(agg._exemplars.length - agg2._exemplars.length) == 0);
output = agg2._output._output_frame.get();
output.remove();
checkNumExemplars(agg);
agg2.remove();
}
frame.delete();
}
use of hex.aggregator.AggregatorModel in project h2o-3 by h2oai.
the class AggregatorTest method testAggregator.
public void testAggregator(int max) {
CreateFrame cf = new CreateFrame();
cf.rows = 100000;
cf.cols = 2;
cf.categorical_fraction = 0.1;
cf.integer_fraction = 0.3;
cf.real_range = 100;
cf.integer_range = 100;
cf.seed = 1234;
Frame frame = cf.execImpl().get();
AggregatorModel.AggregatorParameters parms = new AggregatorModel.AggregatorParameters();
parms._train = frame._key;
parms._target_num_exemplars = max;
long start = System.currentTimeMillis();
AggregatorModel agg = new Aggregator(parms).trainModel().get();
System.out.println("AggregatorModel finished in: " + (System.currentTimeMillis() - start) / 1000. + " seconds");
agg.checkConsistency();
Frame output = agg._output._output_frame.get();
System.out.println(output.toTwoDimTable(0, 10));
frame.delete();
checkNumExemplars(agg);
output.remove();
agg.remove();
}
use of hex.aggregator.AggregatorModel in project h2o-3 by h2oai.
the class AggregatorTest method testCovtype.
@Test
public void testCovtype() {
Frame frame = parse_test_file("smalldata/covtype/covtype.20k.data");
AggregatorModel.AggregatorParameters parms = new AggregatorModel.AggregatorParameters();
parms._train = frame._key;
parms._target_num_exemplars = 500;
parms._rel_tol_num_exemplars = 0.05;
long start = System.currentTimeMillis();
// 0.179
AggregatorModel agg = new Aggregator(parms).trainModel().get();
System.out.println("AggregatorModel finished in: " + (System.currentTimeMillis() - start) / 1000. + " seconds");
agg.checkConsistency();
frame.delete();
Frame output = agg._output._output_frame.get();
Log.info("Exemplars: " + output.toString());
output.remove();
checkNumExemplars(agg);
agg.remove();
}
use of hex.aggregator.AggregatorModel in project h2o-3 by h2oai.
the class AggregatorTest method testAggregatorEigen.
@Test
public void testAggregatorEigen() {
CreateFrame cf = new CreateFrame();
cf.rows = 1000;
cf.cols = 10;
cf.categorical_fraction = 0.6;
cf.integer_fraction = 0.0;
cf.binary_fraction = 0.0;
cf.real_range = 100;
cf.integer_range = 100;
cf.missing_fraction = 0;
cf.factors = 5;
cf.seed = 1234;
Frame frame = cf.execImpl().get();
AggregatorModel.AggregatorParameters parms = new AggregatorModel.AggregatorParameters();
parms._train = frame._key;
parms._categorical_encoding = Model.Parameters.CategoricalEncodingScheme.Eigen;
long start = System.currentTimeMillis();
// 0.905
AggregatorModel agg = new Aggregator(parms).trainModel().get();
System.out.println("AggregatorModel finished in: " + (System.currentTimeMillis() - start) / 1000. + " seconds");
agg.checkConsistency();
Frame output = agg._output._output_frame.get();
System.out.println(output.toTwoDimTable(0, 10));
Log.info("Number of exemplars: " + agg._exemplars.length);
output.remove();
frame.remove();
agg.remove();
}
use of hex.aggregator.AggregatorModel in project h2o-3 by h2oai.
the class AggregatorTest method testMNIST.
@Ignore
@Test
public void testMNIST() {
Frame frame = parse_test_file("bigdata/laptop/mnist/train.csv.gz");
AggregatorModel.AggregatorParameters parms = new AggregatorModel.AggregatorParameters();
parms._train = frame._key;
long start = System.currentTimeMillis();
AggregatorModel agg = new Aggregator(parms).trainModel().get();
System.out.println("AggregatorModel finished in: " + (System.currentTimeMillis() - start) / 1000. + " seconds");
agg.checkConsistency();
frame.delete();
Frame output = agg._output._output_frame.get();
// Log.info("Exemplars: " + output);
output.remove();
Log.info("Number of exemplars: " + agg._exemplars.length);
checkNumExemplars(agg);
agg.remove();
}
Aggregations