Index (Classification-XGBoost 4.3.2 API)

C D G M O P S T X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

C

convertBatchOutput(ImmutableOutputInfo<Label>, List<float[][]>, int[], Example<Label>[]) - Method in class org.tribuo.classification.xgboost.XGBoostClassificationConverter
convertOutput(ImmutableOutputInfo<Label>, List<float[]>, int, Example<Label>) - Method in class org.tribuo.classification.xgboost.XGBoostClassificationConverter
CURRENT_VERSION - Static variable in class org.tribuo.classification.xgboost.XGBoostClassificationConverter: Protobuf serialization version.

D

deserializeFromProto(int, String, Any) - Static method in class org.tribuo.classification.xgboost.XGBoostClassificationConverter: Deserialization factory.

G

general - Variable in class org.tribuo.classification.xgboost.TrainTest.TrainTestOptions: The data loading options.
generatesProbabilities() - Method in class org.tribuo.classification.xgboost.XGBoostClassificationConverter
getOptionsDescription() - Method in class org.tribuo.classification.xgboost.TrainTest.TrainTestOptions
getProvenance() - Method in class org.tribuo.classification.xgboost.XGBoostClassificationTrainer
getTrainer() - Method in class org.tribuo.classification.xgboost.XGBoostOptions
getTypeWitness() - Method in class org.tribuo.classification.xgboost.XGBoostClassificationConverter

M

main(String[]) - Static method in class org.tribuo.classification.xgboost.TrainTest: Runs a TrainTest CLI.

O

org.tribuo.classification.xgboost - package org.tribuo.classification.xgboost: Provides an interface to XGBoost for classification problems.

P

postConfig() - Method in class org.tribuo.classification.xgboost.XGBoostClassificationTrainer: Used by the OLCUT configuration system, and should not be called by external code.

S

serialize() - Method in class org.tribuo.classification.xgboost.XGBoostClassificationConverter

T

train(Dataset<Label>) - Method in class org.tribuo.classification.xgboost.XGBoostClassificationTrainer
train(Dataset<Label>, Map<String, Provenance>) - Method in class org.tribuo.classification.xgboost.XGBoostClassificationTrainer
train(Dataset<Label>, Map<String, Provenance>, int) - Method in class org.tribuo.classification.xgboost.XGBoostClassificationTrainer
TrainTest - Class in org.tribuo.classification.xgboost: Build and run an XGBoost classifier for a standard dataset.
TrainTest() - Constructor for class org.tribuo.classification.xgboost.TrainTest
TrainTest.TrainTestOptions - Class in org.tribuo.classification.xgboost: Command line options.
TrainTestOptions() - Constructor for class org.tribuo.classification.xgboost.TrainTest.TrainTestOptions

X

xbgAlpha - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: L1 regularization term for weights.
xgbBoosterType - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Weak learning algorithm.
xgbEnsembleSize - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Number of trees in the ensemble.
xgbEta - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Step size shrinkage parameter (range [0,1]).
xgbGamma - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Minimum loss reduction to make a split (range [0,Infinity]).
xgbLambda - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: L2 regularization term for weights.
xgbLogLevel - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Make the XGBoost training procedure quiet.
xgbMaxDepth - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Max tree depth (range (0,Integer.MAX_VALUE]).
xgbMinWeight - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Minimum sum of instance weights needed in a leaf (range [0,Infinity]).
xgbNumThreads - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Number of threads to use (range (1, num hw threads)).
XGBoostClassificationConverter - Class in org.tribuo.classification.xgboost: Converts XGBoost outputs into Label Predictions.
XGBoostClassificationConverter() - Constructor for class org.tribuo.classification.xgboost.XGBoostClassificationConverter: Constructs an XGBoostClassificationConverter.
XGBoostClassificationTrainer - Class in org.tribuo.classification.xgboost: A Trainer which wraps the XGBoost training procedure.
XGBoostClassificationTrainer() - Constructor for class org.tribuo.classification.xgboost.XGBoostClassificationTrainer: For olcut.
XGBoostClassificationTrainer(int) - Constructor for class org.tribuo.classification.xgboost.XGBoostClassificationTrainer: Create an XGBoost trainer.
XGBoostClassificationTrainer(int, double, double, int, double, double, double, double, double, int, boolean, long) - Constructor for class org.tribuo.classification.xgboost.XGBoostClassificationTrainer: Create an XGBoost trainer.
XGBoostClassificationTrainer(int, int, boolean) - Constructor for class org.tribuo.classification.xgboost.XGBoostClassificationTrainer: Create an XGBoost trainer.
XGBoostClassificationTrainer(int, Map<String, Object>) - Constructor for class org.tribuo.classification.xgboost.XGBoostClassificationTrainer: This gives direct access to the XGBoost parameter map.
XGBoostClassificationTrainer(XGBoostTrainer.BoosterType, XGBoostTrainer.TreeMethod, int, double, double, int, double, double, double, double, double, int, XGBoostTrainer.LoggingVerbosity, long) - Constructor for class org.tribuo.classification.xgboost.XGBoostClassificationTrainer: Create an XGBoost trainer.
xgboostOptions - Variable in class org.tribuo.classification.xgboost.TrainTest.TrainTestOptions: The XGBoost trainer options.
XGBoostOptions - Class in org.tribuo.classification.xgboost: CLI options for training an XGBoost classifier.
XGBoostOptions() - Constructor for class org.tribuo.classification.xgboost.XGBoostOptions
xgbQuiet - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Deprecated, use xgb-loglevel.
xgbSubsample - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Subsample size for each tree (range (0,1]).
xgbSubsampleFeatures - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Subsample features for each tree (range (0,1]).
xgbTreeMethod - Variable in class org.tribuo.classification.xgboost.XGBoostOptions: Tree building algorithm.

C D G M O P S T X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form