Class RegressorTransformer
java.lang.Object
org.tribuo.interop.onnx.RegressorTransformer
- All Implemented Interfaces:
- com.oracle.labs.mlrg.olcut.config.Configurable,- com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>,- Serializable,- OutputTransformer<Regressor>
- See Also:
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Constructor SummaryConstructors
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Method SummaryModifier and TypeMethodDescriptionbooleanDoes this OutputTransformer generate probabilities.com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenancetoString()transformToBatchOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo) Converts aOnnxValuecontaining multiple outputs into a list ofOutputs.transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int[] numValidFeatures, List<Example<Regressor>> examples) Converts aOnnxValuecontaining multiple outputs into a list ofPredictions.transformToOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo) Converts aOnnxValueinto the specified output type.transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int numValidFeatures, Example<Regressor> example) Converts aOnnxValueinto aPrediction.Methods inherited from class java.lang.Objectclone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface com.oracle.labs.mlrg.olcut.config.ConfigurablepostConfig
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Constructor Details- 
RegressorTransformerpublic RegressorTransformer()Constructs a RegressorTransformer.
 
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Method Details- 
transformToPredictionpublic Prediction<Regressor> transformToPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int numValidFeatures, Example<Regressor> example) Description copied from interface:OutputTransformerConverts aOnnxValueinto aPrediction.- Specified by:
- transformToPredictionin interface- OutputTransformer<Regressor>
- Parameters:
- tensor- The value to convert.
- outputIDInfo- The output info to use to identify the outputs.
- numValidFeatures- The number of valid features used by the prediction.
- example- The example to insert into the prediction.
- Returns:
- A prediction object.
 
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transformToOutputpublic Regressor transformToOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo) Description copied from interface:OutputTransformerConverts aOnnxValueinto the specified output type.- Specified by:
- transformToOutputin interface- OutputTransformer<Regressor>
- Parameters:
- tensor- The value to convert.
- outputIDInfo- The output info to use to identify the outputs.
- Returns:
- A output.
 
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transformToBatchPredictionpublic List<Prediction<Regressor>> transformToBatchPrediction(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo, int[] numValidFeatures, List<Example<Regressor>> examples) Description copied from interface:OutputTransformerConverts aOnnxValuecontaining multiple outputs into a list ofPredictions.- Specified by:
- transformToBatchPredictionin interface- OutputTransformer<Regressor>
- Parameters:
- tensor- The value to convert.
- outputIDInfo- The output info to use to identify the outputs.
- numValidFeatures- The number of valid features used by the prediction.
- examples- The example to insert into the prediction.
- Returns:
- A list of predictions.
 
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transformToBatchOutputpublic List<Regressor> transformToBatchOutput(List<ai.onnxruntime.OnnxValue> tensor, ImmutableOutputInfo<Regressor> outputIDInfo) Description copied from interface:OutputTransformerConverts aOnnxValuecontaining multiple outputs into a list ofOutputs.- Specified by:
- transformToBatchOutputin interface- OutputTransformer<Regressor>
- Parameters:
- tensor- The value to convert.
- outputIDInfo- The output info to use to identify the outputs.
- Returns:
- A list of outputs.
 
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generatesProbabilitiespublic boolean generatesProbabilities()Description copied from interface:OutputTransformerDoes this OutputTransformer generate probabilities.- Specified by:
- generatesProbabilitiesin interface- OutputTransformer<Regressor>
- Returns:
- True if it produces a probability distribution in the Prediction.
 
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toString
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getProvenancepublic com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()- Specified by:
- getProvenancein interface- com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>
 
 
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