Uses of Class
inference.ModelConfigOuterClass.ModelEnsembling.Step

Packages that use ModelConfigOuterClass.ModelEnsembling.Step

Package	Description
inference

Uses of ModelConfigOuterClass.ModelEnsembling.Step in inference

Methods in inference that return ModelConfigOuterClass.ModelEnsembling.Step

Modifier and Type	Method	Description
ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.Builder.build()
ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.Builder.buildPartial()
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.getDefaultInstance()
ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.Builder.getDefaultInstanceForType()
ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.getDefaultInstanceForType()
ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Builder.getStep(int index)	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.getStep(int index)	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsemblingOrBuilder.getStep(int index)	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseDelimitedFrom(InputStream input)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(byte[] data)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(com.google.protobuf.ByteString data)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(com.google.protobuf.CodedInputStream input)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(InputStream input)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(ByteBuffer data)
static ModelConfigOuterClass.ModelEnsembling.Step	ModelConfigOuterClass.ModelEnsembling.Step.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Methods in inference that return types with arguments of type ModelConfigOuterClass.ModelEnsembling.Step

Modifier and Type	Method	Description
com.google.protobuf.Parser<ModelConfigOuterClass.ModelEnsembling.Step>	ModelConfigOuterClass.ModelEnsembling.Step.getParserForType()
List<ModelConfigOuterClass.ModelEnsembling.Step>	ModelConfigOuterClass.ModelEnsembling.Builder.getStepList()	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
List<ModelConfigOuterClass.ModelEnsembling.Step>	ModelConfigOuterClass.ModelEnsembling.getStepList()	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
List<ModelConfigOuterClass.ModelEnsembling.Step>	ModelConfigOuterClass.ModelEnsemblingOrBuilder.getStepList()	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
static com.google.protobuf.Parser<ModelConfigOuterClass.ModelEnsembling.Step>	ModelConfigOuterClass.ModelEnsembling.Step.parser()

Methods in inference with parameters of type ModelConfigOuterClass.ModelEnsembling.Step

Modifier and Type	Method	Description
ModelConfigOuterClass.ModelEnsembling.Builder	ModelConfigOuterClass.ModelEnsembling.Builder.addStep(int index, ModelConfigOuterClass.ModelEnsembling.Step value)	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
ModelConfigOuterClass.ModelEnsembling.Builder	ModelConfigOuterClass.ModelEnsembling.Builder.addStep(ModelConfigOuterClass.ModelEnsembling.Step value)	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.
ModelConfigOuterClass.ModelEnsembling.Step.Builder	ModelConfigOuterClass.ModelEnsembling.Step.Builder.mergeFrom(ModelConfigOuterClass.ModelEnsembling.Step other)
static ModelConfigOuterClass.ModelEnsembling.Step.Builder	ModelConfigOuterClass.ModelEnsembling.Step.newBuilder(ModelConfigOuterClass.ModelEnsembling.Step prototype)
ModelConfigOuterClass.ModelEnsembling.Builder	ModelConfigOuterClass.ModelEnsembling.Builder.setStep(int index, ModelConfigOuterClass.ModelEnsembling.Step value)	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.

Method parameters in inference with type arguments of type ModelConfigOuterClass.ModelEnsembling.Step

Modifier and Type	Method	Description
ModelConfigOuterClass.ModelEnsembling.Builder	ModelConfigOuterClass.ModelEnsembling.Builder.addAllStep(Iterable<? extends ModelConfigOuterClass.ModelEnsembling.Step> values)	@@ .. cpp:var:: Step step (repeated) @@ @@ The models and the input / output mappings used within the ensemble.