index int64 | repo_id string | file_path string | content string |
|---|---|---|---|
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt/mrtasks/CountBinsSamplesCountsMRTask.java | package hex.tree.dt.mrtasks;
import org.apache.commons.math3.util.Precision;
import water.MRTask;
import water.fvec.Chunk;
import java.util.Arrays;
import static hex.tree.dt.NumericFeatureLimits.LIMIT_MAX;
import static hex.tree.dt.NumericFeatureLimits.LIMIT_MIN;
import static hex.tree.dt.binning.NumericBin.*;
/**... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt/mrtasks/FeaturesLimitsMRTask.java | package hex.tree.dt.mrtasks;
import hex.tree.dt.DT;
import water.MRTask;
import water.fvec.Chunk;
import water.fvec.NewChunk;
import java.util.Arrays;
import static hex.tree.dt.NumericFeatureLimits.*;
/**
* MR task for calculating real features limits based on limits. Useful optimization equal-width binning.
*/
p... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt/mrtasks/GetClassCountsMRTask.java | package hex.tree.dt.mrtasks;
import water.MRTask;
import water.fvec.Chunk;
import static hex.tree.dt.NumericFeatureLimits.*;
/**
* MR task for counting classes.
*/
public class GetClassCountsMRTask extends MRTask<GetClassCountsMRTask> {
public int _numClasses;
// counts of samples for each class, class cor... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/dt/mrtasks/ScoreDTTask.java | package hex.tree.dt.mrtasks;
import hex.ModelMetrics;
import hex.tree.dt.DTModel;
import water.MRTask;
import water.fvec.Chunk;
public class ScoreDTTask extends MRTask<ScoreDTTask> {
private DTModel _model;
private int _responseIdx;
private ModelMetrics.MetricBuilder _metricsBuilder;
public ScoreDTT... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/gbm/GBM.java | package hex.tree.gbm;
import hex.*;
import hex.genmodel.MojoModel;
import hex.genmodel.algos.gbm.GbmMojoModel;
import hex.genmodel.utils.DistributionFamily;
import hex.quantile.Quantile;
import hex.quantile.QuantileModel;
import hex.tree.*;
import hex.tree.DTree.DecidedNode;
import hex.tree.DTree.LeafNode;
import hex.... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/gbm/GBMModel.java | package hex.tree.gbm;
import hex.*;
import hex.genmodel.algos.tree.SharedTreeNode;
import hex.genmodel.algos.tree.SharedTreeSubgraph;
import hex.genmodel.utils.DistributionFamily;
import hex.tree.*;
import hex.util.EffectiveParametersUtils;
import water.*;
import water.fvec.Chunk;
import water.fvec.Frame;
import water... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/gbm/GbmMojoWriter.java | package hex.tree.gbm;
import hex.Distribution;
import hex.DistributionFactory;
import hex.tree.SharedTreeMojoWriter;
import java.io.IOException;
/**
* MOJO support for GBM model.
*/
public class GbmMojoWriter extends SharedTreeMojoWriter<GBMModel, GBMModel.GBMParameters, GBMModel.GBMOutput> {
@SuppressWarnings(... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/gbm/GbmPojoWriter.java | package hex.tree.gbm;
import hex.Distribution;
import hex.DistributionFactory;
import hex.LinkFunction;
import hex.Model;
import hex.genmodel.CategoricalEncoding;
import hex.genmodel.utils.DistributionFamily;
import hex.tree.CompressedTree;
import hex.tree.SharedTreePojoWriter;
import water.util.SBPrintStream;
class ... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isofor/IsolationForest.java | package hex.tree.isofor;
import hex.ModelCategory;
import hex.ModelMetricsBinomial;
import hex.ScoreKeeper;
import hex.genmodel.utils.DistributionFamily;
import hex.quantile.Quantile;
import hex.tree.*;
import hex.tree.DTree.DecidedNode;
import hex.tree.DTree.LeafNode;
import hex.tree.DTree.UndecidedNode;
import org.j... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isofor/IsolationForestModel.java | package hex.tree.isofor;
import hex.ModelCategory;
import hex.ModelMetrics;
import hex.genmodel.CategoricalEncoding;
import hex.genmodel.utils.ArrayUtils;
import hex.ScoreKeeper;
import hex.genmodel.utils.DistributionFamily;
import hex.tree.SharedTreeModel;
import water.Key;
import water.fvec.Frame;
import water.util.... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isofor/IsolationForestMojoWriter.java | package hex.tree.isofor;
import hex.genmodel.CategoricalEncoding;
import hex.tree.SharedTreeMojoWriter;
import java.io.IOException;
import static hex.tree.isofor.IsolationForestModel.IsolationForestParameters;
import static hex.tree.isofor.IsolationForestModel.IsolationForestOutput;
/**
* Mojo definition for Isola... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isofor/MetricBuilderAnomalySupervised.java | package hex.tree.isofor;
import hex.*;
import water.fvec.Frame;
public class MetricBuilderAnomalySupervised extends ModelMetricsBinomial.MetricBuilderBinomial<MetricBuilderAnomalySupervised> {
public MetricBuilderAnomalySupervised(String[] domain) {
super(domain);
}
/**
* Create a ModelMetrics for a gi... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isofor/ModelMetricsAnomaly.java | package hex.tree.isofor;
import hex.*;
import water.fvec.Frame;
public class ModelMetricsAnomaly extends ModelMetricsUnsupervised implements ScoreKeeper.ScoreKeeperAware {
/**
* The raw number that an algorithm is using to count final anomaly score.
* E.g. raw number for Isolation Forest algorithm to count f... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isofor/PathTracker.java | package hex.tree.isofor;
import water.fvec.Chunk;
/**
* Helper class - encodes lengths of paths for observations separately for OOB and when they were used for tree building.
*/
class PathTracker {
static int encodeNewPathLength(Chunk tree, int row, int depth, boolean wasOOB) {
final long old_len_enc = tree.... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/ExtendedIsolationForest.java | package hex.tree.isoforextended;
import hex.ModelBuilder;
import hex.ModelCategory;
import hex.ModelMetrics;
import hex.ScoreKeeper;
import hex.tree.isoforextended.isolationtree.CompressedIsolationTree;
import hex.tree.isoforextended.isolationtree.IsolationTree;
import hex.tree.isoforextended.isolationtree.IsolationTr... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/ExtendedIsolationForestModel.java | package hex.tree.isoforextended;
import hex.Model;
import hex.ModelCategory;
import hex.ModelMetrics;
import hex.ScoreKeeper;
import hex.tree.isofor.ModelMetricsAnomaly;
import hex.tree.isoforextended.isolationtree.CompressedIsolationTree;
import org.apache.log4j.Logger;
import water.*;
import water.fvec.Frame;
impor... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/ExtendedIsolationForestMojoWriter.java | package hex.tree.isoforextended;
import hex.ModelMojoWriter;
import hex.pca.PCAModel;
import hex.tree.isoforextended.isolationtree.CompressedIsolationTree;
import water.DKV;
import water.MemoryManager;
import java.io.IOException;
import java.nio.ByteBuffer;
public class ExtendedIsolationForestMojoWriter extends Mode... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/ScoreExtendedIsolationForest.java | package hex.tree.isoforextended;
import hex.tree.isofor.ModelMetricsAnomaly;
import water.MRTask;
import water.fvec.Chunk;
class ScoreExtendedIsolationForestTask extends MRTask<ScoreExtendedIsolationForestTask> {
private ExtendedIsolationForestModel _model;
// output
private ModelMetricsAnomaly.MetricBui... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/isolationtree/AbstractCompressedNode.java | package hex.tree.isoforextended.isolationtree;
import water.AutoBuffer;
import water.Iced;
/**
* Upper class for {@link CompressedNode} and {@link CompressedLeaf} used to access both types from array.
*/
public abstract class AbstractCompressedNode extends Iced<AbstractCompressedNode> {
private final int _heigh... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/isolationtree/CompressedIsolationTree.java | package hex.tree.isoforextended.isolationtree;
import water.AutoBuffer;
import water.Key;
import water.Keyed;
import water.util.ArrayUtils;
import static hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel.*;
/**
* IsolationTree structure with better memory performance. Store only the data that are n... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/isolationtree/CompressedLeaf.java | package hex.tree.isoforextended.isolationtree;
import water.AutoBuffer;
import static hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel.LEAF;
/**
* IsolationTree Leaf Node with better memory performance. Store only the data that are needed for scoring.
*/
public class CompressedLeaf extends Abstra... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/isolationtree/CompressedNode.java | package hex.tree.isoforextended.isolationtree;
import water.AutoBuffer;
import java.util.Arrays;
import static hex.genmodel.algos.isoforextended.ExtendedIsolationForestMojoModel.NODE;
/**
* IsolationTree Node with better memory performance. Store only the data that are needed for scoring.
* Naming convention come... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/isolationtree/IsolationTree.java | package hex.tree.isoforextended.isolationtree;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import water.util.ArrayUtils;
import water.util.RandomUtils;
import java.util.Random;
/**
* IsolationTree class implements Algorithm 2 (iTree)
* Naming convention comes from the Extended Isolation Forest p... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/isoforextended/isolationtree/IsolationTreeStats.java | package hex.tree.isoforextended.isolationtree;
/**
* Inspired by TreeStats
*/
public class IsolationTreeStats {
public int _minDepth = -1;
public int _maxDepth = -1;
public float _meanDepth;
public int _minLeaves = -1;
public int _maxLeaves = -1;
public float _meanLeaves;
public int _m... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/uplift/ChiSquaredDivergence.java | package hex.tree.uplift;
public class ChiSquaredDivergence extends EuclideanDistance {
@Override
public double metric(double prCT1, double prCT0) {
return ((prCT1 - prCT0) * (prCT1 - prCT0)) / (prCT0 == 0 ? Divergence.ZERO_TO_DIVIDE : prCT0);
}
}
|
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/uplift/Divergence.java | package hex.tree.uplift;
import water.Iced;
/**
* Divergence class used to calculate gain to split the node in Uplift trees algorithms.
* Currently only UpliftRandomForest uses this class.
* Source: https://link.springer.com/content/pdf/10.1007/s10115-011-0434-0.pdf page 308
*
*/
public abstract class Divergen... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/uplift/EuclideanDistance.java | package hex.tree.uplift;
public class EuclideanDistance extends Divergence {
@Override
public double metric(double prCT1, double prCT0) {
return (prCT1 - prCT0) * (prCT1 - prCT0);
}
@Override
public double norm(
double prCT1, double prCT0,
double prLCT1, double prLCT0
... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/uplift/KLDivergence.java | package hex.tree.uplift;
import static water.util.MathUtils.log2;
public class KLDivergence extends Divergence {
@Override
public double metric(double prCT1, double prCT0) {
return prCT1 * log2(prCT1 / prCT0 == 0 ? ZERO_TO_DIVIDE : prCT0);
}
@Override
public double norm(
... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/uplift/UpliftDRF.java | package hex.tree.uplift;
import hex.*;
import hex.genmodel.MojoModel;
import hex.genmodel.algos.upliftdrf.UpliftDrfMojoModel;
import hex.genmodel.utils.DistributionFamily;
import hex.tree.*;
import org.apache.log4j.Logger;
import org.joda.time.format.DateTimeFormat;
import org.joda.time.format.DateTimeFormatter;
impor... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/uplift/UpliftDRFModel.java | package hex.tree.uplift;
import hex.*;
import hex.tree.CompressedForest;
import hex.tree.SharedTreeModel;
import hex.tree.SharedTreeModelWithContributions;
import hex.tree.SharedTreePojoWriter;
import hex.util.EffectiveParametersUtils;
import water.Key;
public class UpliftDRFModel extends SharedTreeModel<UpliftDRFMod... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/tree/uplift/UpliftDrfMojoWriter.java | package hex.tree.uplift;
import hex.tree.SharedTreeMojoWriter;
import java.io.IOException;
public class UpliftDrfMojoWriter extends SharedTreeMojoWriter<UpliftDRFModel, UpliftDRFModel.UpliftDRFParameters, UpliftDRFModel.UpliftDRFOutput> {
@SuppressWarnings("unused") // Called through reflection in ModelBuilder... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/util/CheckpointUtils.java | package hex.util;
import hex.Model;
import hex.ModelBuilder;
import water.Value;
import water.exceptions.H2OIllegalArgumentException;
import water.util.ArrayUtils;
import water.util.PojoUtils;
import java.lang.reflect.Field;
import java.util.Arrays;
public class CheckpointUtils {
/**
* This method will tak... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/util/ClusteringUtils.java | package hex.util;
import hex.ClusteringModel;
import water.util.TwoDimTable;
public class ClusteringUtils {
static public TwoDimTable createCenterTable(ClusteringModel.ClusteringOutput output, boolean standardized) {
String name = standardized ? "Standardized Cluster Means" : "Cluster Means";
if(... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/util/DimensionReductionUtils.java | package hex.util;
import hex.DataInfo;
import org.joda.time.format.DateTimeFormat;
import org.joda.time.format.DateTimeFormatter;
import water.fvec.Frame;
import water.util.ArrayUtils;
import water.util.PrettyPrint;
import water.util.TwoDimTable;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/util/DistributionUtils.java | package hex.util;
import hex.genmodel.utils.DistributionFamily;
import hex.glm.GLMModel;
import water.exceptions.H2OIllegalArgumentException;
import static hex.genmodel.utils.DistributionFamily.bernoulli;
import static hex.glm.GLMModel.GLMParameters.Family.*;
public class DistributionUtils {
public static Distri... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/util/EffectiveParametersUtils.java | package hex.util;
import hex.Model;
import hex.ScoreKeeper;
import hex.genmodel.utils.DistributionFamily;
import hex.tree.CalibrationHelper;
import hex.tree.SharedTreeModel;
import hex.tree.uplift.UpliftDRFModel;
public class EffectiveParametersUtils {
public static void initFoldAssignment(
Model.Par... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/util/EigenPair.java | package hex.util;
public class EigenPair implements Comparable<EigenPair> {
public double eigenvalue;
public double[] eigenvector;
public EigenPair(double eigenvalue, double[] eigenvector) {
this.eigenvalue = eigenvalue;
this.eigenvector = eigenvector;
}
/**
* Compare an eigenPair = (eigenvalue,... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/util/LinearAlgebraUtils.java | package hex.util;
import Jama.EigenvalueDecomposition;
import Jama.Matrix;
import Jama.QRDecomposition;
import hex.DataInfo;
import hex.FrameTask;
import hex.Interaction;
import hex.ToEigenVec;
import hex.gam.MatrixFrameUtils.TriDiagonalMatrix;
import hex.gram.Gram;
import jsr166y.ForkJoinTask;
import jsr166y.Recursiv... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/word2vec/HBWTree.java | package hex.word2vec;
import water.Key;
import water.Keyed;
import java.util.Arrays;
class HBWTree extends Keyed<HBWTree> {
private static final int MAX_CODE_LENGTH = 40;
int[][] _code;
int[][] _point;
public HBWTree() {}
private HBWTree(Key<HBWTree> key, int size) {
super(key);
_code = new int[... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/word2vec/Word2Vec.java | package hex.word2vec;
import hex.ModelBuilder;
import hex.ModelCategory;
import hex.word2vec.Word2VecModel.*;
import water.Job;
import water.fvec.Frame;
import water.fvec.Vec;
import water.util.Log;
import water.util.StringUtils;
import java.util.LinkedList;
import java.util.List;
public class Word2Vec extends Model... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/word2vec/Word2VecModel.java | package hex.word2vec;
import hex.Model;
import hex.ModelCategory;
import hex.ModelMetrics;
import hex.word2vec.Word2VecModel.Word2VecOutput;
import hex.word2vec.Word2VecModel.Word2VecParameters;
import water.*;
import water.fvec.Chunk;
import water.fvec.Frame;
import water.fvec.NewChunk;
import water.fvec.Vec;
import ... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/word2vec/Word2VecMojoWriter.java | package hex.word2vec;
import hex.ModelMojoWriter;
import water.MemoryManager;
import water.parser.BufferedString;
import java.io.IOException;
import java.nio.ByteBuffer;
/**
* MOJO serializer for word2vec model.
*/
public class Word2VecMojoWriter extends ModelMojoWriter<Word2VecModel, Word2VecModel.Word2VecParamet... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/word2vec/WordCountTask.java | package hex.word2vec;
import water.AutoBuffer;
import water.MRTask;
import water.fvec.Chunk;
import water.parser.BufferedString;
import water.util.IcedHashMap;
import water.util.IcedLong;
import java.util.HashMap;
/**
* Reduce a string column of a given Vec to a set of unique words
* and their frequency counts
*
... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/word2vec/WordVectorConverter.java | package hex.word2vec;
import water.Job;
import water.MRTask;
import water.MemoryManager;
import water.fvec.Chunk;
import water.parser.BufferedString;
import water.util.ArrayUtils;
public class WordVectorConverter extends MRTask<WordVectorConverter> {
// Job
private final Job<Word2VecModel> _job;
private final... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex | java-sources/ai/h2o/h2o-algos/3.46.0.7/hex/word2vec/WordVectorTrainer.java | package hex.word2vec;
import water.DKV;
import water.Job;
import water.Key;
import water.MRTask;
import water.fvec.Chunk;
import water.parser.BufferedString;
import hex.word2vec.Word2VecModel.*;
import water.util.ArrayUtils;
import water.util.IcedHashMap;
import water.util.IcedHashMapGeneric;
import water.util.IcedLon... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/api/ModelMetricsAnomalyV3.java | package water.api;
import hex.tree.isofor.ModelMetricsAnomaly;
import water.api.schemas3.ModelMetricsBaseV3;
public class ModelMetricsAnomalyV3 extends ModelMetricsBaseV3<ModelMetricsAnomaly, ModelMetricsAnomalyV3> {
@API(help = "Mean Anomaly Score.", direction = API.Direction.OUTPUT)
public double mean_score;
... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/api/ModelMetricsGLRMV99.java | package water.api;
import hex.glrm.ModelMetricsGLRM;
import water.api.schemas3.ModelMetricsBaseV3;
public class ModelMetricsGLRMV99 extends ModelMetricsBaseV3<ModelMetricsGLRM, ModelMetricsGLRMV99> {
@API(help="Sum of Squared Error (Numeric Cols)")
public double numerr;
@API(help="Misclassification Error (Cate... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/api/ModelMetricsPCAV3.java | package water.api;
import hex.pca.ModelMetricsPCA;
import water.api.schemas3.ModelMetricsBaseV3;
public class ModelMetricsPCAV3 extends ModelMetricsBaseV3<ModelMetricsPCA, ModelMetricsPCAV3> {
// Empty since PCA has no model metrics
}
|
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/api/ModelMetricsSVDV99.java | package water.api;
import hex.svd.SVDModel.ModelMetricsSVD;
import water.api.schemas3.ModelMetricsBaseV3;
public class ModelMetricsSVDV99 extends ModelMetricsBaseV3<ModelMetricsSVD, ModelMetricsSVDV99> {
// Empty since SVD has no model metrics
}
|
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims/AstPredictedVsActualByVar.java | package water.rapids.prims;
import hex.Model;
import water.MRTask;
import water.fvec.*;
import water.rapids.Env;
import water.rapids.ast.AstPrimitive;
import water.rapids.ast.AstRoot;
import water.rapids.vals.ValFrame;
import water.util.ArrayUtils;
import java.util.Arrays;
public class AstPredictedVsActualByVar exte... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims/AstSetCalibrationModel.java | package water.rapids.prims;
import hex.Model;
import hex.tree.CalibrationHelper;
import water.rapids.Env;
import water.rapids.ast.AstPrimitive;
import water.rapids.ast.AstRoot;
import water.rapids.vals.ValStr;
public class AstSetCalibrationModel extends AstPrimitive<AstSetCalibrationModel> {
@Override
public... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims/isotonic/AstPoolAdjacentViolators.java | package water.rapids.prims.isotonic;
import hex.isotonic.PoolAdjacentViolatorsDriver;
import water.fvec.Frame;
import water.rapids.Env;
import water.rapids.ast.AstPrimitive;
import water.rapids.ast.AstRoot;
import water.rapids.prims.rulefit.AstPredictRule;
import water.rapids.vals.ValFrame;
public class AstPoolAdjace... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims/rulefit/AstPredictRule.java | package water.rapids.prims.rulefit;
import hex.rulefit.RuleFitModel;
import water.fvec.Frame;
import water.rapids.Env;
import water.rapids.ast.AstPrimitive;
import water.rapids.ast.AstRoot;
import water.rapids.vals.ValFrame;
/**
* Evaluates validity of the given rules on the given data.
*/
public class AstPredictR... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims/tree/AstTreeUpdateWeights.java | package water.rapids.prims.tree;
import hex.Model;
import water.fvec.Frame;
import water.rapids.Env;
import water.rapids.ast.AstPrimitive;
import water.rapids.ast.AstRoot;
import water.rapids.vals.ValStr;
/**
* Re-weights auxiliary trees in a TreeModel
*/
public class AstTreeUpdateWeights extends AstPrimitive<AstTr... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/rapids/prims/word2vec/AstWord2VecToFrame.java | package water.rapids.prims.word2vec;
import hex.word2vec.Word2VecModel;
import water.rapids.Env;
import water.rapids.ast.AstPrimitive;
import water.rapids.ast.AstRoot;
import water.rapids.vals.ValFrame;
/**
* Converts a word2vec model to a Frame
*/
public class AstWord2VecToFrame extends AstPrimitive {
@Override... |
0 | java-sources/ai/h2o/h2o-algos/3.46.0.7/water | java-sources/ai/h2o/h2o-algos/3.46.0.7/water/tools/MojoConvertTool.java | package water.tools;
import hex.generic.Generic;
import hex.generic.GenericModel;
import water.ExtensionManager;
import water.H2O;
import water.Paxos;
import java.io.File;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.... |
0 | java-sources/ai/h2o/h2o-app/3.46.0.7 | java-sources/ai/h2o/h2o-app/3.46.0.7/water/H2OApp.java | package water;
public class H2OApp extends H2OStarter {
public static int BAD_JAVA_VERSION_RETURN_CODE = 3;
public static void main(String[] args) {
if (H2O.checkUnsupportedJava(args))
System.exit(BAD_JAVA_VERSION_RETURN_CODE);
start(args, System.getProperty("user.dir"));
}
@SuppressWarn... |
0 | java-sources/ai/h2o/h2o-app/3.46.0.7 | java-sources/ai/h2o/h2o-app/3.46.0.7/water/H2OClientApp.java | package water;
/**
* Simple client application wrapper.
*
* CAUTION:
* This is used by Sparkling Water and other environments where an H2O client node is needed.
* A client node is a node that can launch and monitor work, but doesn't do any work.
* Don't use this unless you know what you are doing. You probably... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/Algo.java | package ai.h2o.automl;
import water.ExtensionManager;
import water.H2O;
import static water.util.OSUtils.isLinux;
// if we need to make the Algo list dynamic, we should just turn this enum into a class...
// implementation of AutoML.algo can be safely removed once we get rid of this interface: current purpose
// is... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/AutoML.java | package ai.h2o.automl;
import ai.h2o.automl.AutoMLBuildSpec.AutoMLBuildModels;
import ai.h2o.automl.AutoMLBuildSpec.AutoMLInput;
import ai.h2o.automl.AutoMLBuildSpec.AutoMLStoppingCriteria;
import ai.h2o.automl.StepResultState.ResultStatus;
import ai.h2o.automl.WorkAllocations.Work;
import ai.h2o.automl.events.EventLo... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/AutoMLBuildSpec.java | package ai.h2o.automl;
import ai.h2o.automl.preprocessing.PreprocessingStepDefinition;
import hex.Model;
import hex.ScoreKeeper.StoppingMetric;
import hex.genmodel.utils.DistributionFamily;
import hex.grid.HyperSpaceSearchCriteria;
import water.H2O;
import water.Iced;
import water.Key;
import water.exceptions.H2OIlleg... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/AutoMLSession.java | package ai.h2o.automl;
import water.*;
import water.nbhm.NonBlockingHashMap;
import water.util.IcedHashMap;
import water.util.IcedHashSet;
import java.util.concurrent.atomic.AtomicInteger;
public class AutoMLSession extends Lockable<AutoMLSession> {
private static Key<AutoMLSession> makeKey(String projectName) ... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/H2OJob.java | package ai.h2o.automl;
import water.H2O;
import water.Job;
import water.Key;
import water.Keyed;
public class H2OJob<T extends Keyed & H2ORunnable> {
protected final T _target;
protected Key<Job> _jobKey;
Job<T> _job;
public H2OJob(T runnable, long max_runtime_msecs) {
this(runnable, Key.make(), max_ru... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/H2ORunnable.java | package ai.h2o.automl;
/**
*
* The <code>H2ORunnable</code> interface should be implemented by any class whose
* instances are intended to be submitted to the H2O forkjoin pool via
* <code>H2O.submitTask</code>. The class must define a method of no arguments called
* <code>run</code>.
*
*/
public interface H2OR... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/IAlgo.java | package ai.h2o.automl;
import java.io.Serializable;
public interface IAlgo extends Serializable {
String name();
default String urlName() { return name().toLowerCase(); }
default boolean enabled() { return true; }
}
|
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelParametersProvider.java | package ai.h2o.automl;
import hex.Model.Parameters;
public interface ModelParametersProvider<P extends Parameters> {
P newDefaultParameters();
}
|
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelSelectionStrategies.java | package ai.h2o.automl;
import hex.Model;
import hex.leaderboard.Leaderboard;
import org.apache.log4j.Logger;
import water.Key;
import water.util.ArrayUtils;
import java.util.Arrays;
import java.util.function.Predicate;
import java.util.function.Supplier;
public final class ModelSelectionStrategies {
private... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelSelectionStrategy.java | package ai.h2o.automl;
import hex.Model;
import water.Key;
@FunctionalInterface
public interface ModelSelectionStrategy<M extends Model>{
class Selection<M extends Model> {
final Key<M>[] _add; //models that should be added to the original population
final Key<M>[] _remove; //models that should ... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelingPlans.java | package ai.h2o.automl;
import ai.h2o.automl.StepDefinition.Step;
import java.util.stream.IntStream;
import java.util.stream.Stream;
import static ai.h2o.automl.ModelingStep.GridStep.DEFAULT_GRID_GROUP;
import static ai.h2o.automl.ModelingStep.GridStep.DEFAULT_GRID_TRAINING_WEIGHT;
import static ai.h2o.automl.Modelin... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelingStep.java | package ai.h2o.automl;
import ai.h2o.automl.AutoMLBuildSpec.AutoMLCustomParameters;
import ai.h2o.automl.ModelSelectionStrategies.LeaderboardHolder;
import ai.h2o.automl.ModelSelectionStrategy.Selection;
import ai.h2o.automl.StepResultState.ResultStatus;
import ai.h2o.automl.WorkAllocations.JobType;
import ai.h2o.auto... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelingSteps.java | package ai.h2o.automl;
import ai.h2o.automl.StepDefinition.Alias;
import ai.h2o.automl.StepDefinition.Step;
import water.Iced;
import water.util.ArrayUtils;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import java.util.stream.Stream;
public abstract class ModelingSteps extends Iced<M... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelingStepsExecutor.java | package ai.h2o.automl;
import ai.h2o.automl.AutoML.Constraint;
import ai.h2o.automl.StepResultState.ResultStatus;
import ai.h2o.automl.WorkAllocations.JobType;
import ai.h2o.automl.WorkAllocations.Work;
import ai.h2o.automl.events.EventLog;
import ai.h2o.automl.events.EventLogEntry.Stage;
import hex.Model;
import hex.... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelingStepsProvider.java | package ai.h2o.automl;
/**
* A simple class used by service discovery to register new {@link ModelingSteps} implementations.
*/
public interface ModelingStepsProvider<T extends ModelingSteps> {
/**
* @return the name of this provider: must be unique among all registered providers.
*/
String getName... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/ModelingStepsRegistry.java | package ai.h2o.automl;
import ai.h2o.automl.events.EventLogEntry.Stage;
import ai.h2o.automl.StepDefinition.Alias;
import ai.h2o.automl.StepDefinition.Step;
import hex.Model;
import water.Iced;
import water.nbhm.NonBlockingHashMap;
import water.util.ArrayUtils;
import java.util.*;
import java.util.stream.Collectors;
... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/Models.java | package ai.h2o.automl;
import hex.Model;
import hex.ModelContainer;
import water.*;
import water.api.schemas3.KeyV3;
import water.automl.api.schemas3.SchemaExtensions;
import water.util.ArrayUtils;
import java.lang.reflect.Array;
import java.lang.reflect.Modifier;
import java.util.Arrays;
public class Models<M exten... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/StepDefinition.java | package ai.h2o.automl;
import water.Iced;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Objects;
/**
* Defines a step or a list of steps to be executed.
* The steps implementations are provided by instances of (@link {@link ModelingStepsProvider}.
*/
public class S... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/StepResultState.java | package ai.h2o.automl;
import water.util.IcedHashMap;
import java.util.Collections;
import java.util.Map;
import static ai.h2o.automl.StepResultState.ResultStatus.*;
final class StepResultState {
enum ResultStatus {
skipped,
cancelled,
failed,
success,
}
enum Resolution... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/TimedH2ORunnable.java | package ai.h2o.automl;
public interface TimedH2ORunnable extends H2ORunnable {
boolean keepRunning();
long timeRemainingMs();
}
|
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/WorkAllocations.java | package ai.h2o.automl;
import water.Iced;
import water.util.ArrayUtils;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.function.Predicate;
import java.util.stream.Stream;
public class WorkAllocations extends Iced<WorkAllocations> {
public enum JobType {
Unknown,
... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/events/EventLog.java | package ai.h2o.automl.events;
import ai.h2o.automl.events.EventLogEntry.Stage;
import water.DKV;
import water.Futures;
import water.Key;
import water.Keyed;
import water.logging.Logger;
import water.logging.LoggerFactory;
import water.logging.LoggingLevel;
import water.util.TwoDimTable;
import java.io.Serializable;
i... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/events/EventLogEntry.java | package ai.h2o.automl.events;
import ai.h2o.automl.AutoML;
import water.Iced;
import water.Key;
import water.logging.LoggingLevel;
import water.util.TwoDimTable;
import java.io.Serializable;
import java.text.FieldPosition;
import java.text.Format;
import java.text.ParsePosition;
import java.text.SimpleDateFormat;
imp... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/leaderboard/ModelGroup.java | package ai.h2o.automl.leaderboard;
import ai.h2o.automl.ModelingStep;
import hex.Model;
import hex.leaderboard.LeaderboardCell;
import hex.leaderboard.LeaderboardColumn;
import water.Iced;
import water.Key;
public class ModelGroup extends Iced<ModelGroup> implements LeaderboardCell<Integer, ModelGroup> {
public s... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/leaderboard/ModelProvider.java | package ai.h2o.automl.leaderboard;
import ai.h2o.automl.ModelingStep;
import hex.Model;
import hex.leaderboard.LeaderboardCell;
import hex.leaderboard.LeaderboardColumn;
import water.Iced;
import water.Key;
public class ModelProvider extends Iced<ModelProvider> implements LeaderboardCell<String, ModelProvider> {
... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/leaderboard/ModelSize.java | package ai.h2o.automl.leaderboard;
import hex.Model;
import hex.leaderboard.LeaderboardCell;
import hex.leaderboard.LeaderboardColumn;
import water.Iced;
import water.Key;
/**
* A cell computing lazily the size of a model.
*/
public class ModelSize extends Iced<ModelSize> implements LeaderboardCell<Long, ModelSize>... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/leaderboard/ModelStep.java | package ai.h2o.automl.leaderboard;
import ai.h2o.automl.ModelingStep;
import hex.Model;
import hex.leaderboard.LeaderboardCell;
import hex.leaderboard.LeaderboardColumn;
import water.Iced;
import water.Key;
public class ModelStep extends Iced<ModelStep> implements LeaderboardCell<String, ModelStep> {
public stati... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/CompletionStepsProvider.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import ai.h2o.automl.ModelingStep.DynamicStep;
import hex.Model;
import hex.grid.Grid;
import hex.grid.HyperSpaceSearchCriteria.RandomDiscreteValueSearchCriteria;
import hex.leaderboard.Leaderboard;
import water.Job;
import water.Key;
import java.util.*;
import ... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/DRFStepsProvider.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import hex.tree.SharedTreeModel.SharedTreeParameters.HistogramType;
import hex.tree.drf.DRFModel;
import hex.tree.drf.DRFModel.DRFParameters;
import water.Job;
import water.Key;
public class DRFStepsProvider
implements ModelingStepsProvider<DRFStepsProvi... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/DeepLearningStepsProvider.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import ai.h2o.automl.preprocessing.PreprocessingConfig;
import ai.h2o.automl.preprocessing.TargetEncoding;
import hex.deeplearning.DeepLearningModel;
import hex.deeplearning.DeepLearningModel.DeepLearningParameters;
import java.util.HashMap;
import java.util.Map... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/GBMStepsProvider.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import ai.h2o.automl.ModelSelectionStrategies.KeepBestN;
import ai.h2o.automl.events.EventLogEntry;
import hex.Model;
import hex.tree.SharedTreeModel;
import hex.tree.gbm.GBMModel;
import hex.tree.gbm.GBMModel.GBMParameters;
import water.Job;
import water.Key;
i... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/GLMStepsProvider.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import ai.h2o.automl.preprocessing.PreprocessingConfig;
import ai.h2o.automl.preprocessing.TargetEncoding;
import hex.Model;
import hex.genmodel.utils.DistributionFamily;
import hex.glm.GLMModel;
import hex.glm.GLMModel.GLMParameters;
public class GLMStepsProvi... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/StackedEnsembleStepsProvider.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import ai.h2o.automl.WorkAllocations.Work;
import ai.h2o.automl.events.EventLogEntry;
import ai.h2o.automl.preprocessing.PreprocessingConfig;
import ai.h2o.automl.preprocessing.TargetEncoding;
import hex.KeyValue;
import hex.Model;
import hex.ensemble.Metalearner... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/XGBoostSteps.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import ai.h2o.automl.ModelSelectionStrategies.KeepBestN;
import ai.h2o.automl.events.EventLogEntry;
import hex.Model;
import hex.genmodel.utils.DistributionFamily;
import hex.grid.GridSearch;
import hex.grid.HyperSpaceSearchCriteria.SequentialSearchCriteria;
impo... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/modeling/XGBoostStepsProvider.java | package ai.h2o.automl.modeling;
import ai.h2o.automl.*;
import hex.Model;
import hex.ModelBuilder;
import water.util.Log;
/**
* This class is decoupled from the XGBoostSteps implementation to avoid having to load XGBoost classes
* when the extension is not available.
*/
public class XGBoostStepsProvider implement... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/preprocessing/PreprocessingConfig.java | package ai.h2o.automl.preprocessing;
import java.util.HashMap;
public class PreprocessingConfig extends HashMap<String, Object> {
boolean get(String key, boolean defaultValue) {
return (boolean) getOrDefault(key, defaultValue);
}
}
|
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/preprocessing/PreprocessingStep.java | package ai.h2o.automl.preprocessing;
import ai.h2o.automl.ModelingStep;
import hex.Model;
public interface PreprocessingStep<T> {
interface Completer extends Runnable {}
String getType();
/**
* preprocessing steps are prepared by default before the AutoML session starts training the first mode... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/preprocessing/PreprocessingStepDefinition.java | package ai.h2o.automl.preprocessing;
import ai.h2o.automl.AutoML;
import water.Iced;
public class PreprocessingStepDefinition extends Iced<PreprocessingStepDefinition> {
public enum Type {
TargetEncoding
}
Type _type;
public PreprocessingStepDefinition() { /* for reflection */ }
pu... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/ai/h2o/automl/preprocessing/TargetEncoding.java | package ai.h2o.automl.preprocessing;
import ai.h2o.automl.AutoML;
import ai.h2o.automl.AutoMLBuildSpec.AutoMLBuildControl;
import ai.h2o.automl.AutoMLBuildSpec.AutoMLInput;
import ai.h2o.automl.events.EventLogEntry.Stage;
import ai.h2o.targetencoding.TargetEncoder;
import ai.h2o.targetencoding.TargetEncoderModel;
impo... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/water | java-sources/ai/h2o/h2o-automl/3.46.0.7/water/automl/RegisterRestApi.java | package water.automl;
import water.api.AbstractRegister;
import water.api.RestApiContext;
import water.automl.api.AutoMLBuilderHandler;
import water.automl.api.AutoMLHandler;
import water.automl.api.LeaderboardsHandler;
public class RegisterRestApi extends AbstractRegister {
@Override
public void registerEndPoin... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/water/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/water/automl/api/AutoMLBuilderHandler.java | package water.automl.api;
import ai.h2o.automl.AutoML;
import ai.h2o.automl.AutoMLBuildSpec;
import water.api.Handler;
import water.api.schemas3.JobV3;
import water.automl.api.schemas3.AutoMLBuildSpecV99;
public class AutoMLBuilderHandler extends Handler {
@SuppressWarnings("unused") // called through reflection ... |
0 | java-sources/ai/h2o/h2o-automl/3.46.0.7/water/automl | java-sources/ai/h2o/h2o-automl/3.46.0.7/water/automl/api/AutoMLHandler.java | package water.automl.api;
import ai.h2o.automl.AutoML;
import water.*;
import water.api.Handler;
import water.automl.api.schemas3.AutoMLV99;
import water.exceptions.H2OKeyNotFoundArgumentException;
import java.util.stream.Stream;
public class AutoMLHandler extends Handler {
@SuppressWarnings("unused") // called t... |
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