| Package | Description |
|---|---|
| com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition |
| Modifier and Type | Method and Description |
|---|---|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clear() |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clearBaseModelId()
The ID of the `base` model.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clearBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node
hours i.e. 1,000 value in this field means 1 node hour.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clearDisableEarlyStopping()
Use the entire training budget.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clearModelType()
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clearMultiLabel()
If false, a single-label (multi-class) Model will be trained (i.e.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.clone() |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassification.Builder.getInputsBuilder()
The input parameters of this TrainingJob.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.mergeFrom(AutoMlImageClassificationInputs other) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.mergeFrom(com.google.protobuf.Message other) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
static AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.newBuilder() |
static AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.newBuilder(AutoMlImageClassificationInputs prototype) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.newBuilderForType() |
protected AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setBaseModelId(String value)
The ID of the `base` model.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setBaseModelIdBytes(com.google.protobuf.ByteString value)
The ID of the `base` model.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setBudgetMilliNodeHours(long value)
The training budget of creating this model, expressed in milli node
hours i.e. 1,000 value in this field means 1 node hour.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setDisableEarlyStopping(boolean value)
Use the entire training budget.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setModelType(AutoMlImageClassificationInputs.ModelType value)
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setModelTypeValue(int value)
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setMultiLabel(boolean value)
If false, a single-label (multi-class) Model will be trained (i.e.
|
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
AutoMlImageClassificationInputs.Builder |
AutoMlImageClassificationInputs.toBuilder() |
| Modifier and Type | Method and Description |
|---|---|
AutoMlImageClassification.Builder |
AutoMlImageClassification.Builder.setInputs(AutoMlImageClassificationInputs.Builder builderForValue)
The input parameters of this TrainingJob.
|
Copyright © 2025 Google LLC. All rights reserved.