index int64 | repo_id string | file_path string | content string |
|---|---|---|---|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/IClusteringModel.java | package hex.genmodel;
/**
* Clustering Model Interface
*/
public interface IClusteringModel {
double[] score0(double[] row, double[] preds);
/**
* Calculates squared distances to all cluster centers.
*
* {@see hex.genmodel.GenModel.KMeans_distances(..)} for precise definition
* of the distance metr... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/IGenModel.java | package hex.genmodel;
import hex.ModelCategory;
import java.util.EnumSet;
/**
* Interface publishing methods for generated models.
*
* This interface extend the original interface from H2O.
*/
public interface IGenModel {
/**
* Returns true for supervised models.
* @return true if this class represents ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/InMemoryMojoReaderBackend.java | package hex.genmodel;
import java.io.*;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
public class InMemoryMojoReaderBackend implements MojoReaderBackend, Closeable {
private static final Map<String, byte[]> CLOSED = Collections.unmodifiableMap(new HashMap<String, byte[]>());
pri... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/ModelMojoFactory.java | package hex.genmodel;
import hex.genmodel.algos.coxph.CoxPHMojoReader;
import hex.genmodel.algos.deeplearning.DeeplearningMojoReader;
import hex.genmodel.algos.drf.DrfMojoReader;
import hex.genmodel.algos.ensemble.StackedEnsembleMojoReader;
import hex.genmodel.algos.gam.GamMojoReader;
import hex.genmodel.algos.gbm.Gbm... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/ModelMojoReader.java | package hex.genmodel;
import com.google.gson.JsonObject;
import hex.genmodel.algos.isotonic.IsotonicCalibrator;
import hex.genmodel.attributes.ModelAttributes;
import hex.genmodel.attributes.ModelJsonReader;
import hex.genmodel.attributes.Table;
import hex.genmodel.descriptor.ModelDescriptorBuilder;
import hex.genmode... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/MojoModel.java | package hex.genmodel;
import hex.genmodel.attributes.ModelAttributes;
import hex.genmodel.attributes.Table;
import hex.genmodel.descriptor.ModelDescriptor;
import java.io.*;
/**
* Prediction model based on the persisted binary data.
*/
public abstract class MojoModel extends GenModel {
public String _algoName;
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/MojoPipelineBuilder.java | package hex.genmodel;
import hex.genmodel.utils.IOUtils;
import java.io.*;
import java.util.Enumeration;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.zip.ZipEntry;
import java.util.zip.ZipFile;
import java.util.zip.ZipOutputStream;
public class MojoPipelineBuilder {
priv... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/MojoPipelineWriter.java | package hex.genmodel;
import hex.ModelCategory;
import hex.genmodel.descriptor.ModelDescriptor;
import hex.genmodel.attributes.Table;
import hex.genmodel.attributes.VariableImportances;
import java.io.IOException;
import java.util.Arrays;
import java.util.Date;
import java.util.LinkedHashMap;
import java.util.Map;
p... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/MojoReaderBackend.java | package hex.genmodel;
import java.io.BufferedReader;
import java.io.IOException;
/**
*/
public interface MojoReaderBackend {
BufferedReader getTextFile(String filename) throws IOException;
byte[] getBinaryFile(String filename) throws IOException;
boolean exists(String filename);
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/MojoReaderBackendFactory.java | package hex.genmodel;
import hex.genmodel.utils.IOUtils;
import java.io.*;
import java.net.URL;
import java.util.HashMap;
import java.util.zip.ZipEntry;
import java.util.zip.ZipInputStream;
/**
* Factory class for vending MojoReaderBackend object that can be used to load MOJOs from different data sources.
*
* <p>... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/MultiModelMojoReader.java | package hex.genmodel;
import java.io.BufferedReader;
import java.io.IOException;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
public abstract class MultiModelMojoReader<M extends MojoModel> extends ModelMojoReader<M> {
private Map<String, MojoModel> _subModels;
@Override
prote... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/NestedMojoReaderBackend.java | package hex.genmodel;
import java.io.BufferedReader;
import java.io.IOException;
class NestedMojoReaderBackend implements MojoReaderBackend {
private MojoReaderBackend _reader;
private String _zipDirectory;
NestedMojoReaderBackend(MojoReaderBackend parent, String zipDirectory) {
_reader = parent... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/PredictContributions.java | package hex.genmodel;
import hex.genmodel.attributes.parameters.FeatureContribution;
import java.io.Serializable;
public interface PredictContributions extends Serializable {
/**
* Calculate contributions (SHAP values) for a given input row.
* @param input input data
* @return per-feature contributions, ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/PredictContributionsFactory.java | package hex.genmodel;
/**
* MOJO Models that can calculate SHAP Values (contributions) should implement this interface
*/
public interface PredictContributionsFactory {
/**
* Create an instance of PredictContributions
* The returned implementation is not guaranteed to be thread-safe and the caller is respon... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/TmpMojoReaderBackend.java | package hex.genmodel;
import java.io.File;
import java.io.IOException;
public class TmpMojoReaderBackend extends ZipfileMojoReaderBackend {
File _tempZipFile;
public TmpMojoReaderBackend(File tempZipFile) throws IOException {
super(tempZipFile.getPath());
_tempZipFile = tempZipFile;
}
@Override
p... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/ZipfileMojoReaderBackend.java | package hex.genmodel;
import java.io.*;
import java.util.zip.ZipEntry;
import java.util.zip.ZipFile;
/**
*/
class ZipfileMojoReaderBackend implements MojoReaderBackend, Closeable {
private ZipFile zf;
public ZipfileMojoReaderBackend(String archivename) throws IOException {
zf = new ZipFile(archivename);
}... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/package-info.java | /**
* Low-level information about generated POJO and MOJO models.
*/
package hex.genmodel;
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/coxph/CoxPHMojoModel.java | package hex.genmodel.algos.coxph;
import hex.genmodel.MojoModel;
import java.io.Serializable;
import java.util.*;
public class CoxPHMojoModel extends MojoModel {
static class Strata implements Serializable {
final double[] strata;
final int strataLen;
final int hashCode;
public Strata(double[] s... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/coxph/CoxPHMojoReader.java | package hex.genmodel.algos.coxph;
import hex.genmodel.ModelMojoReader;
import java.io.IOException;
import java.util.Arrays;
import java.util.HashMap;
import java.util.HashSet;
public class CoxPHMojoReader extends ModelMojoReader<CoxPHMojoModel> {
@Override
public String getModelName() {
return "CoxPH";
}
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/deeplearning/ActivationUtils.java | package hex.genmodel.algos.deeplearning;
import java.io.Serializable;
public class ActivationUtils {
// drived from GLMMojoModel
public interface ActivationFunctions extends Serializable {
double[] eval(double[] x, double drop_out_ratio, int maxOutk); // for MaxoutDropout
}
public static class LinearOut... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/deeplearning/DeeplearningMojoModel.java | package hex.genmodel.algos.deeplearning;
import hex.ModelCategory;
import hex.genmodel.CategoricalEncoding;
import hex.genmodel.GenModel;
import hex.genmodel.MojoModel;
import hex.genmodel.utils.DistributionFamily;
import java.io.Serializable;
public class DeeplearningMojoModel extends MojoModel {
public int _mini_... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/deeplearning/DeeplearningMojoReader.java | package hex.genmodel.algos.deeplearning;
import com.google.gson.JsonObject;
import hex.genmodel.ModelMojoReader;
import hex.genmodel.attributes.DeepLearningModelAttributes;
import hex.genmodel.attributes.ModelAttributes;
import hex.genmodel.attributes.ModelJsonReader;
import hex.genmodel.utils.DistributionFamily;
imp... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/deeplearning/NeuralNetwork.java | package hex.genmodel.algos.deeplearning;
import java.util.Arrays;
import java.util.List;
import static hex.genmodel.algos.deeplearning.ActivationUtils.*;
public class NeuralNetwork { // represent one layer of neural network
public String _activation; // string that describe the activation function
double _dr... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/drf/DrfMojoModel.java | package hex.genmodel.algos.drf;
import hex.ModelCategory;
import hex.genmodel.GenModel;
import hex.genmodel.PredictContributions;
import hex.genmodel.algos.tree.*;
import hex.genmodel.attributes.VariableImportances;
import hex.genmodel.attributes.parameters.VariableImportancesHolder;
/**
* "Distributed Random Fores... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/drf/DrfMojoReader.java | package hex.genmodel.algos.drf;
import hex.genmodel.algos.tree.SharedTreeMojoReader;
import java.io.IOException;
/**
*/
public class DrfMojoReader extends SharedTreeMojoReader<DrfMojoModel> {
@Override
public String getModelName() {
return "Distributed Random Forest";
}
@Override
protected void read... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/ensemble/StackedEnsembleMojoModel.java | package hex.genmodel.algos.ensemble;
import hex.genmodel.MojoModel;
import java.io.Serializable;
import java.util.Arrays;
public class StackedEnsembleMojoModel extends MojoModel {
MojoModel _metaLearner; //Currently only a GLM. May change to be DRF, GBM, XGBoost, or DL in the future
boolean _useLogitMetaLea... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/ensemble/StackedEnsembleMojoReader.java | package hex.genmodel.algos.ensemble;
import hex.genmodel.MojoModel;
import hex.genmodel.MultiModelMojoReader;
public class StackedEnsembleMojoReader extends MultiModelMojoReader<StackedEnsembleMojoModel> {
@Override
public String getModelName() {
return "StackedEnsemble";
}
@Override
pro... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamMojoModel.java | package hex.genmodel.algos.gam;
import static hex.genmodel.utils.DistributionFamily.*;
public class GamMojoModel extends GamMojoModelBase {
public static final int CS_SPLINE_TYPE = 0;
public static final int IS_SPLINE_TYPE = 2;
public static final int MS_SPLINE_TYPE = 3;
public static final int TP_SPLINE_TYPE... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamMojoModelBase.java | package hex.genmodel.algos.gam;
import hex.genmodel.ConverterFactoryProvidingModel;
import hex.genmodel.GenModel;
import hex.genmodel.MojoModel;
import hex.genmodel.easy.CategoricalEncoder;
import hex.genmodel.easy.EasyPredictModelWrapper;
import hex.genmodel.easy.RowData;
import hex.genmodel.easy.RowToRawDataConverte... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamMojoMultinomialModel.java | package hex.genmodel.algos.gam;
import static hex.genmodel.utils.DistributionFamily.multinomial;
public class GamMojoMultinomialModel extends GamMojoModelBase {
private boolean _trueMultinomial;
GamMojoMultinomialModel(String[] columns, String[][] domains, String responseColumn) {
super(columns, doma... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamMojoReader.java | package hex.genmodel.algos.gam;
import hex.genmodel.ModelMojoReader;
import hex.genmodel.utils.DistributionFamily;
import java.io.IOException;
import java.nio.ByteBuffer;
import static hex.genmodel.algos.gam.GamMojoModel.IS_SPLINE_TYPE;
import static hex.genmodel.algos.gam.GamMojoModel.MS_SPLINE_TYPE;
import static ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamRowToRawDataConverter.java | package hex.genmodel.algos.gam;
import hex.genmodel.GenModel;
import hex.genmodel.easy.CategoricalEncoder;
import hex.genmodel.easy.EasyPredictModelWrapper;
import hex.genmodel.easy.RowData;
import hex.genmodel.easy.RowToRawDataConverter;
import hex.genmodel.easy.exception.PredictException;
import java.util.Map;
pub... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamUtilsCubicRegression.java | package hex.genmodel.algos.gam;
import java.util.Arrays;
public class GamUtilsCubicRegression {
public static double gen_a_m_j(double xjp1, double x, double hj) {
return (xjp1-x)/hj;
}
public static double gen_a_p_j(double xj, double x, double hj) {
return (x-xj)/hj;
}
public static double gen_c_m... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamUtilsISplines.java | package hex.genmodel.algos.gam;
import hex.genmodel.utils.ArrayUtils;
import java.util.ArrayList;
import java.util.List;
import static hex.genmodel.utils.ArrayUtils.arrayInitRange;
public class GamUtilsISplines {
public static double[] fillKnots(double[] knots, int m) {
int numKnotsDup = knots.length+2*... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/GamUtilsThinPlateRegression.java | package hex.genmodel.algos.gam;
public class GamUtilsThinPlateRegression {
public static double calTPConstantTerm(int m, int d, boolean dEven) {
if (dEven)
return (Math.pow(-1, m + 1 + d / 2.0) / (Math.pow(2, 2*m - 1) * Math.pow(Math.PI, d / 2.0) *
factorial(m-1)*factorial(m - d / 2)));
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/ISplines.java | package hex.genmodel.algos.gam;
import java.io.Serializable;
import static hex.genmodel.algos.gam.GamUtilsISplines.extractKnots;
import static hex.genmodel.algos.gam.GamUtilsISplines.fillKnots;
public class ISplines implements Serializable {
private final double[] _knotsWDuplicates; // expanded knots with dupli... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/MSplines.java | package hex.genmodel.algos.gam;
import java.io.Serializable;
import static hex.genmodel.algos.gam.GamUtilsISplines.fillKnots;
public class MSplines implements Serializable {
private final double[] _knotsWDuplicates; // expanded knots with duplicates
private final int _order; // order of ISplines, s... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/NBSplinesTypeI.java | package hex.genmodel.algos.gam;
import java.io.Serializable;
import static hex.genmodel.algos.gam.GamUtilsISplines.*;
/**
* I implemented the spline described in Section III of doc in the GitHub issue https://github.com/h2oai/h2o-3/issues/7261.
* Any reference to doc I in the code refer to the one here with the ht... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gam/NBSplinesTypeII.java | package hex.genmodel.algos.gam;
import java.io.Serializable;
import static hex.genmodel.algos.gam.GamUtilsISplines.*;
public class NBSplinesTypeII implements Serializable {
public final int _order; // order of splines
private final int _nKnots; // number of knots of multiplicity 1
private final double... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gbm/GbmMojoModel.java | package hex.genmodel.algos.gbm;
import hex.genmodel.GenModel;
import hex.genmodel.PredictContributions;
import hex.genmodel.algos.tree.*;
import hex.genmodel.utils.DistributionFamily;
import hex.genmodel.utils.LinkFunctionType;
import static hex.genmodel.utils.DistributionFamily.*;
/**
* "Gradient Boosting Machine"... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/gbm/GbmMojoReader.java | package hex.genmodel.algos.gbm;
import hex.genmodel.algos.tree.SharedTreeMojoReader;
import hex.genmodel.utils.DistributionFamily;
import java.io.IOException;
/**
*/
public class GbmMojoReader extends SharedTreeMojoReader<GbmMojoModel> {
@Override
public String getModelName() {
return "Gradient Boosting Ma... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glm/GlmMojoModel.java | package hex.genmodel.algos.glm;
import hex.genmodel.GenModel;
import java.io.Serializable;
public class GlmMojoModel extends GlmMojoModelBase {
String _link;
double _tweedieLinkPower;
// set by init()
private Function1 _linkFn;
private boolean _binomial;
GlmMojoModel(String[] columns, String[][] domai... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glm/GlmMojoModelBase.java | package hex.genmodel.algos.glm;
import hex.genmodel.MojoModel;
public abstract class GlmMojoModelBase extends MojoModel {
boolean _useAllFactorLevels;
int _cats;
int[] _catModes;
int[] _catOffsets;
int _nums;
double[] _numMeans;
boolean _meanImputation;
double[] _beta;
String _family;
boolean... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glm/GlmMojoReader.java | package hex.genmodel.algos.glm;
import com.google.gson.JsonObject;
import hex.genmodel.ModelMojoReader;
import hex.genmodel.attributes.ModelAttributes;
import hex.genmodel.attributes.ModelAttributesGLM;
import hex.genmodel.attributes.ModelJsonReader;
import java.io.IOException;
public class GlmMojoReader extends Mod... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glm/GlmMultinomialMojoModel.java | package hex.genmodel.algos.glm;
public class GlmMultinomialMojoModel extends GlmMojoModelBase {
private int P;
private int noff;
GlmMultinomialMojoModel(String[] columns, String[][] domains, String responseColumn) {
super(columns, domains, responseColumn);
}
@Override
void init() {
P = _beta.len... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glm/GlmOrdinalMojoModel.java | package hex.genmodel.algos.glm;
import hex.genmodel.utils.ArrayUtils;
import java.util.Arrays;
public class GlmOrdinalMojoModel extends GlmMojoModelBase {
private int P;
private int noff;
private int lastClass;
private int[] icptIndices;
GlmOrdinalMojoModel(String[] columns, String[][] domains, String re... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glrm/GlrmInitialization.java | package hex.genmodel.algos.glrm;
/**
* Initialization strategy for matrices X and Y in the GLRM algorithm.
*/
public enum GlrmInitialization {
Random, SVD, PlusPlus, User, Power
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glrm/GlrmLoss.java | package hex.genmodel.algos.glrm;
import hex.genmodel.utils.ArrayUtils;
/**
* Loss function for the GLRM algorithm.
*/
public enum GlrmLoss {
//--------------------------------------------------------------------------------------------------------------------
// Loss functions for numeric features
//--------... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glrm/GlrmMojoModel.java | package hex.genmodel.algos.glrm;
import hex.ModelCategory;
import hex.genmodel.MojoModel;
import hex.genmodel.algos.pca.PCAMojoModel;
import java.util.EnumSet;
import java.util.Random;
/**
*/
public class GlrmMojoModel extends MojoModel {
public int _ncolA;
public int _ncolX;
public int _ncolY;
public int ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glrm/GlrmMojoReader.java | package hex.genmodel.algos.glrm;
import hex.genmodel.ModelMojoReader;
import java.io.IOException;
import java.nio.ByteBuffer;
/**
*/
public class GlrmMojoReader extends ModelMojoReader<GlrmMojoModel> {
@Override
public String getModelName() {
return "Generalized Low Rank Model";
}
@Override
protecte... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/glrm/GlrmRegularizer.java | package hex.genmodel.algos.glrm;
import hex.genmodel.utils.ArrayUtils;
import hex.genmodel.utils.MathUtils;
import java.util.Random;
/**
* Regularization method for matrices X and Y in the GLRM algorithm.
*
* Examples:
* + Non-negative matrix factorization (NNMF): r_x = r_y = NonNegative
* + Orthogonal NNMF... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isofor/IsolationForestMojoModel.java | package hex.genmodel.algos.isofor;
import hex.genmodel.algos.tree.SharedTreeMojoModel;
public final class IsolationForestMojoModel extends SharedTreeMojoModel {
int _min_path_length;
int _max_path_length;
boolean _outputAnomalyFlag;
public IsolationForestMojoModel(String[] columns, String[][] domains, Strin... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isofor/IsolationForestMojoReader.java | package hex.genmodel.algos.isofor;
import hex.genmodel.algos.tree.SharedTreeMojoReader;
import java.io.IOException;
public class IsolationForestMojoReader extends SharedTreeMojoReader<IsolationForestMojoModel> {
@Override
public String getModelName() {
return "Isolation Forest";
}
@Override
protected... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isoforextended/ExtendedIsolationForestMojoModel.java | package hex.genmodel.algos.isoforextended;
import hex.genmodel.MojoModel;
import hex.genmodel.algos.tree.ScoreIsolationTree;
import hex.genmodel.algos.tree.ScoreIsolationTree0;
import hex.genmodel.utils.ArrayUtils;
import hex.genmodel.utils.ByteBufferWrapper;
import hex.genmodel.utils.MathUtils;
public final class Ex... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isoforextended/ExtendedIsolationForestMojoReader.java | package hex.genmodel.algos.isoforextended;
import hex.genmodel.ModelMojoReader;
import hex.genmodel.algos.tree.ScoreTree0;
import hex.genmodel.algos.tree.ScoreTree1;
import hex.genmodel.algos.tree.ScoreTree2;
import java.io.IOException;
public class ExtendedIsolationForestMojoReader extends ModelMojoReader<ExtendedI... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isotonic/IsotonicCalibrator.java | package hex.genmodel.algos.isotonic;
import java.io.Serializable;
public class IsotonicCalibrator implements Serializable {
public final double _min_x;
public final double _max_x;
public final double[] _thresholds_x;
public final double[] _thresholds_y;
public IsotonicCalibrator(double minX, dou... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isotonic/IsotonicRegressionMojoModel.java | package hex.genmodel.algos.isotonic;
import hex.genmodel.MojoModel;
public class IsotonicRegressionMojoModel extends MojoModel {
protected IsotonicCalibrator _isotonic_calibrator;
public IsotonicRegressionMojoModel(String[] columns, String[][] domains, String responseColumn) {
super(columns, domains... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isotonic/IsotonicRegressionMojoReader.java | package hex.genmodel.algos.isotonic;
import hex.genmodel.ModelMojoReader;
import java.io.IOException;
public class IsotonicRegressionMojoReader extends ModelMojoReader<IsotonicRegressionMojoModel> {
@Override
public String getModelName() {
return "Isotonic Regression";
}
@Override
publi... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/isotonic/IsotonicRegressionUtils.java | package hex.genmodel.algos.isotonic;
import java.util.Arrays;
public class IsotonicRegressionUtils {
public static double score(double x, double minX, double maxX,
double[] thresholdsX, double[] thresholdsY) {
if (Double.isNaN(x) || x < minX || x > maxX) {
retu... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/klime/KLimeMojoModel.java | package hex.genmodel.algos.klime;
import hex.ModelCategory;
import hex.genmodel.MojoModel;
import hex.genmodel.algos.glm.GlmMojoModel;
import java.util.EnumSet;
public class KLimeMojoModel extends MojoModel {
MojoModel _clusteringModel;
MojoModel _globalRegressionModel;
MojoModel[] _clusterRegressionModels;
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/klime/KLimeMojoReader.java | package hex.genmodel.algos.klime;
import hex.genmodel.MojoModel;
import hex.genmodel.MultiModelMojoReader;
import java.io.IOException;
public class KLimeMojoReader extends MultiModelMojoReader<KLimeMojoModel> {
@Override
protected void readParentModelData() throws IOException {
int clusterNum = readkv("clus... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/kmeans/KMeansMojoModel.java | package hex.genmodel.algos.kmeans;
import hex.genmodel.IClusteringModel;
import hex.genmodel.MojoModel;
public class KMeansMojoModel extends MojoModel implements IClusteringModel {
boolean _standardize;
double[][] _centers;
double[] _means;
double[] _mults;
int[] _modes;
KMeansMojoModel(String[] column... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/kmeans/KMeansMojoReader.java | package hex.genmodel.algos.kmeans;
import hex.genmodel.ModelMojoReader;
import java.io.IOException;
public class KMeansMojoReader extends ModelMojoReader<KMeansMojoModel> {
@Override
public String getModelName() {
return "K-means";
}
@Override
protected void readModelData() throws IOException {
_... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/pca/PCAMojoModel.java | package hex.genmodel.algos.pca;
import hex.genmodel.MojoModel;
public class PCAMojoModel extends MojoModel {
double[][] _eigenvectors_raw;
public int [] _catOffsets;
public int[] _permutation;
public int _ncats;
public int _nnums;
public double[] _normSub; // used to perform dataset transformation. When... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/pca/PCAMojoReader.java | package hex.genmodel.algos.pca;
import hex.genmodel.ModelMojoReader;
import java.io.IOException;
import java.nio.ByteBuffer;
public class PCAMojoReader extends ModelMojoReader<PCAMojoModel>{
@Override
public String getModelName() {
return "Principal Component Analysis";
}
@Override
protected void rea... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/pipeline/MojoPipeline.java | package hex.genmodel.algos.pipeline;
import hex.genmodel.MojoModel;
import java.io.Serializable;
public class MojoPipeline extends MojoModel {
MojoModel _mainModel;
int[] _sourceRowIndices;
int[] _targetMainModelRowIndices;
int _generatedColumnCount;
PipelineSubModel[] _models;
public MojoPipeline(Str... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/pipeline/MojoPipelineReader.java | package hex.genmodel.algos.pipeline;
import hex.genmodel.MojoModel;
import hex.genmodel.MultiModelMojoReader;
import java.util.LinkedList;
import java.util.Map;
import java.util.List;
import java.util.HashMap;
public class MojoPipelineReader extends MultiModelMojoReader<MojoPipeline> {
@Override
public String g... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/psvm/KernelParameters.java | package hex.genmodel.algos.psvm;
import java.io.Serializable;
public class KernelParameters implements Serializable {
public double _gamma = Double.NaN;
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/psvm/KernelType.java | package hex.genmodel.algos.psvm;
public enum KernelType {
gaussian
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/psvm/ScorerFactory.java | package hex.genmodel.algos.psvm;
public class ScorerFactory {
public static SupportVectorScorer makeScorer(KernelType kt, KernelParameters parms, byte[] svs) {
switch (kt) {
case gaussian:
return new GaussianScorer(parms, svs);
default:
throw new UnsupportedOperationException("Scorin... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/psvm/SupportVectorScorer.java | package hex.genmodel.algos.psvm;
import hex.genmodel.utils.ByteBufferWrapper;
import java.io.Serializable;
public interface SupportVectorScorer extends Serializable {
double score0(double[] data);
}
class GaussianScorer implements SupportVectorScorer {
private final double _gamma;
private final byte[] _svs;
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/rulefit/MojoCondition.java | package hex.genmodel.algos.rulefit;
import java.io.Serializable;
public class MojoCondition implements Serializable {
public enum Type {Categorical, Numerical};
public enum Operator {LessThan, GreaterThanOrEqual, In}
int _featureIndex;
Type _type;
public Operator _operator;
public String _fea... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/rulefit/MojoRule.java | package hex.genmodel.algos.rulefit;
import java.io.Serializable;
public class MojoRule implements Serializable {
MojoCondition[] _conditions;
double _predictionValue;
String _languageRule;
double _coefficient;
String _varName;
double _support;
public void map(double[] cs, byte[] out) {
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/rulefit/MojoRuleEnsemble.java | package hex.genmodel.algos.rulefit;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class MojoRuleEnsemble implements Serializable {
MojoRule[][][] _orderedRules;
public MojoRuleEnsemble(MojoRule[][][] orderedRules) {
this._orderedR... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/rulefit/RuleFitMojoModel.java | package hex.genmodel.algos.rulefit;
import hex.genmodel.MojoModel;
import java.util.Arrays;
import java.util.List;
public class RuleFitMojoModel extends MojoModel {
public enum ModelType {LINEAR, RULES_AND_LINEAR, RULES}
MojoModel _linearModel;
MojoRuleEnsemble _ruleEnsemble;
int _depth;
int _ntrees;
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/rulefit/RuleFitMojoReader.java | package hex.genmodel.algos.rulefit;
import hex.genmodel.MultiModelMojoReader;
import java.io.IOException;
public class RuleFitMojoReader extends MultiModelMojoReader<RuleFitMojoModel> {
@Override
protected void readParentModelData() throws IOException {
_model._linearModel = getModel((String) readkv("linear_... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/svm/SvmMojoModel.java | package hex.genmodel.algos.svm;
import hex.genmodel.MojoModel;
public class SvmMojoModel extends MojoModel {
boolean meanImputation;
double[] weights;
double[] means;
double interceptor;
double defaultThreshold;
double threshold;
SvmMojoModel(String[] columns, String[][] domains, String ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/svm/SvmMojoReader.java | package hex.genmodel.algos.svm;
import hex.genmodel.ModelMojoReader;
import java.io.IOException;
public class SvmMojoReader extends ModelMojoReader<SvmMojoModel> {
@Override
public String getModelName() {
return "SVM";
}
@Override
protected void readModelData() throws IOException {
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/targetencoder/ColumnsMapping.java | package hex.genmodel.algos.targetencoder;
import java.io.Serializable;
public class ColumnsMapping implements Serializable {
private String[] _from;
private String[] _to;
public ColumnsMapping(String[] from, String[] to) {
_from = from;
_to = to;
}
public String[] from() {
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/targetencoder/EncodingMap.java | package hex.genmodel.algos.targetencoder;
import java.io.Serializable;
import java.util.*;
public class EncodingMap implements Serializable {
private static final Integer NO_TARGET_CLASS = -1;
/**
* Represents mapping from categorical level index to:
* - a 2-elements array of `numerator` and `denominato... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/targetencoder/EncodingMaps.java | package hex.genmodel.algos.targetencoder;
import java.io.Serializable;
import java.util.*;
import java.util.Map.Entry;
public class EncodingMaps implements Iterable<Entry<String, EncodingMap>>, Serializable {
/**
* Outer Map stores encoding maps for each categorical column.
*
* Example:
* Map( "ca... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/targetencoder/TargetEncoderMojoModel.java | package hex.genmodel.algos.targetencoder;
import hex.genmodel.MojoModel;
import java.io.Serializable;
import java.util.*;
public class TargetEncoderMojoModel extends MojoModel {
public static double computeLambda(long nrows, double inflectionPoint, double smoothing) {
return 1.0 / (1 + Math.exp((inflectionPoi... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/targetencoder/TargetEncoderMojoReader.java | package hex.genmodel.algos.targetencoder;
import hex.genmodel.ModelMojoReader;
import java.io.BufferedReader;
import java.io.IOException;
import java.util.*;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class TargetEncoderMojoReader extends ModelMojoReader<TargetEncoderMojoModel> {
pub... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/CalibrationMojoHelper.java | package hex.genmodel.algos.tree;
import hex.genmodel.algos.isotonic.IsotonicCalibrator;
import static hex.genmodel.GenModel.GLM_logitInv;
public class CalibrationMojoHelper {
public interface MojoModelWithCalibration {
double[] getCalibGlmBeta();
IsotonicCalibrator getIsotonicCalibrator();
}... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ContributionComposer.java | package hex.genmodel.algos.tree;
import hex.genmodel.utils.ArrayUtils;
import java.util.Arrays;
public class ContributionComposer {
/**
* Sort #contribNameIds according to #contribs values and compose desired output with correct #topN, #bottomN fields
*
* @param contribNameIds Contribution co... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ContributionsPredictor.java | package hex.genmodel.algos.tree;
import hex.genmodel.PredictContributions;
import hex.genmodel.attributes.parameters.FeatureContribution;
import hex.genmodel.utils.ArrayUtils;
import java.util.Arrays;
public abstract class ContributionsPredictor<E> implements PredictContributions {
private final int _ncontribs;
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ConvertTreeOptions.java | package hex.genmodel.algos.tree;
public class ConvertTreeOptions {
static final ConvertTreeOptions DEFAULT = new ConvertTreeOptions();
final boolean _checkTreeConsistency;
public ConvertTreeOptions() {
this(false);
}
private ConvertTreeOptions(boolean checkTreeConsistency) {
_checkTreeConsistenc... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/NaSplitDir.java | package hex.genmodel.algos.tree;
/**
* Copy of `hex.tree.DHistogram.NASplitDir` in package `h2o-algos`.
*/
public enum NaSplitDir {
//never saw NAs in training
None(0), //initial state - should not be present in a trained model
// saw NAs in training
NAvsREST(1), //split off non-NA (left) vs NA ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ScoreIsolationTree.java | package hex.genmodel.algos.tree;
import java.io.Serializable;
public interface ScoreIsolationTree extends Serializable {
double scoreTree(byte[] tree, double[] row);
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ScoreIsolationTree0.java | package hex.genmodel.algos.tree;
import hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel;
public final class ScoreIsolationTree0 implements ScoreIsolationTree {
@Override
public double scoreTree(byte[] tree, double[] row) {
return ExtendedIsolationForestMojoModel.scoreTree0(tree, row);
}
... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ScoreTree.java | package hex.genmodel.algos.tree;
import java.io.Serializable;
public interface ScoreTree extends Serializable {
double scoreTree(byte[] tree, double[] row, boolean computeLeafAssignment, String[][] domains);
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ScoreTree0.java | package hex.genmodel.algos.tree;
public final class ScoreTree0 implements ScoreTree {
@Override
public final double scoreTree(byte[] tree, double[] row, boolean computeLeafAssignment, String[][] domains) {
return SharedTreeMojoModel.scoreTree0(tree, row, computeLeafAssignment);
}
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ScoreTree1.java | package hex.genmodel.algos.tree;
public final class ScoreTree1 implements ScoreTree {
@Override
public final double scoreTree(byte[] tree, double[] row, boolean computeLeafAssignment, String[][] domains) {
return SharedTreeMojoModel.scoreTree1(tree, row, computeLeafAssignment);
}
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/ScoreTree2.java | package hex.genmodel.algos.tree;
public final class ScoreTree2 implements ScoreTree {
@Override
public final double scoreTree(byte[] tree, double[] row, boolean computeLeafAssignment, String[][] domains) {
return SharedTreeMojoModel.scoreTree(tree, row, computeLeafAssignment, domains);
}
}
|
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/SharedTreeGraph.java | package hex.genmodel.algos.tree;
import hex.genmodel.tools.PrintMojo;
import java.io.PrintStream;
import java.util.*;
/**
* Graph for representing a GBM or DRF forest.
* A graph contains subgraphs (trees).
*/
public class SharedTreeGraph {
public final ArrayList<SharedTreeSubgraph> subgraphArray = new ArrayLis... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/SharedTreeGraphConverter.java | package hex.genmodel.algos.tree;
/**
* Implementors of this interface are able to convert internal tree representation to a shared representation.
*/
public interface SharedTreeGraphConverter {
/**
* Converts internal tree representation to a shared representation.
*
* @param treeNumber Number of... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/SharedTreeMojoModel.java | package hex.genmodel.algos.tree;
import hex.genmodel.CategoricalEncoding;
import hex.genmodel.MojoModel;
import hex.genmodel.algos.drf.DrfMojoModel;
import hex.genmodel.algos.gbm.GbmMojoModel;
import hex.genmodel.algos.isotonic.IsotonicCalibrator;
import hex.genmodel.utils.ByteBufferWrapper;
import hex.genmodel.utils.... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/SharedTreeMojoModelWithContributions.java | package hex.genmodel.algos.tree;
import hex.genmodel.PredictContributions;
import hex.genmodel.PredictContributionsFactory;
import java.util.ArrayList;
import java.util.List;
public abstract class SharedTreeMojoModelWithContributions extends SharedTreeMojoModel implements PredictContributionsFactory {
protected ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/SharedTreeMojoReader.java | package hex.genmodel.algos.tree;
import com.google.gson.JsonObject;
import hex.genmodel.ModelMojoReader;
import hex.genmodel.attributes.*;
import java.io.IOException;
public abstract class SharedTreeMojoReader<M extends SharedTreeMojoModel> extends ModelMojoReader<M> {
@Override
protected void readModelData() ... |
0 | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos | java-sources/ai/h2o/h2o-genmodel/3.46.0.7/hex/genmodel/algos/tree/SharedTreeNode.java | package hex.genmodel.algos.tree;
import ai.h2o.algos.tree.INode;
import ai.h2o.algos.tree.INodeStat;
import water.logging.Logger;
import water.logging.LoggerFactory;
import hex.genmodel.tools.PrintMojo;
import hex.genmodel.utils.GenmodelBitSet;
import java.io.PrintStream;
import java.util.*;
/**
* Node in a tree.
... |
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