Interface SparseTrainer<T extends Output<T>>
- All Superinterfaces:
com.oracle.labs.mlrg.olcut.config.Configurable
,com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>
,Trainer<T>
- All Known Subinterfaces:
DecisionTreeTrainer<T>
- All Known Implementing Classes:
AbstractCARTTrainer
,CARTClassificationTrainer
,CARTJointRegressionTrainer
,CARTRegressionTrainer
,ElasticNetCDTrainer
,LARSLassoTrainer
,LARSTrainer
,SkeletalIndependentRegressionSparseTrainer
,SLMTrainer
Denotes this trainer emits a
SparseModel
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Field Summary
Fields inherited from interface org.tribuo.Trainer
DEFAULT_SEED
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Method Summary
Modifier and TypeMethodDescriptiondefault SparseModel
<T> Trains a sparse predictive model using the examples in the given data set.train
(Dataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance) Trains a sparse predictive model using the examples in the given data set.Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable
postConfig
Methods inherited from interface com.oracle.labs.mlrg.olcut.provenance.Provenancable
getProvenance
Methods inherited from interface org.tribuo.Trainer
getInvocationCount
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Method Details
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train
Trains a sparse predictive model using the examples in the given data set. -
train
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