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public static final class DistillationSpec.Builder extends GeneratedMessageV3.Builder<DistillationSpec.Builder> implements DistillationSpecOrBuilderTuning Spec for Distillation.
Protobuf type google.cloud.aiplatform.v1beta1.DistillationSpec
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > DistillationSpec.BuilderImplements
DistillationSpecOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public DistillationSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
build()
public DistillationSpec build()| Returns | |
|---|---|
| Type | Description |
DistillationSpec |
|
buildPartial()
public DistillationSpec buildPartial()| Returns | |
|---|---|
| Type | Description |
DistillationSpec |
|
clear()
public DistillationSpec.Builder clear()| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
clearBaseTeacherModel()
public DistillationSpec.Builder clearBaseTeacherModel()The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
string base_teacher_model = 5;
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public DistillationSpec.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
clearHyperParameters()
public DistillationSpec.Builder clearHyperParameters()Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
clearOneof(Descriptors.OneofDescriptor oneof)
public DistillationSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
clearPipelineRootDirectory()
public DistillationSpec.Builder clearPipelineRootDirectory()Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.
string pipeline_root_directory = 7 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
clearStudentModel()
public DistillationSpec.Builder clearStudentModel()The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
string student_model = 4;
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
clearTeacherModel()
public DistillationSpec.Builder clearTeacherModel()| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
clearTrainingDatasetUri()
public DistillationSpec.Builder clearTrainingDatasetUri()Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
clearTunedTeacherModelSource()
public DistillationSpec.Builder clearTunedTeacherModelSource() The resource name of the Tuned teacher model. Format:
projects/{project}/locations/{location}/models/{model}.
string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
clearValidationDatasetUri()
public DistillationSpec.Builder clearValidationDatasetUri()Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
optional string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
clone()
public DistillationSpec.Builder clone()| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
getBaseTeacherModel()
public String getBaseTeacherModel()The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
string base_teacher_model = 5;
| Returns | |
|---|---|
| Type | Description |
String |
The baseTeacherModel. |
getBaseTeacherModelBytes()
public ByteString getBaseTeacherModelBytes()The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
string base_teacher_model = 5;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for baseTeacherModel. |
getDefaultInstanceForType()
public DistillationSpec getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
DistillationSpec |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getHyperParameters()
public DistillationHyperParameters getHyperParameters()Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
DistillationHyperParameters |
The hyperParameters. |
getHyperParametersBuilder()
public DistillationHyperParameters.Builder getHyperParametersBuilder()Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
DistillationHyperParameters.Builder |
|
getHyperParametersOrBuilder()
public DistillationHyperParametersOrBuilder getHyperParametersOrBuilder()Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
DistillationHyperParametersOrBuilder |
|
getPipelineRootDirectory()
public String getPipelineRootDirectory()Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.
string pipeline_root_directory = 7 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String |
The pipelineRootDirectory. |
getPipelineRootDirectoryBytes()
public ByteString getPipelineRootDirectoryBytes()Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.
string pipeline_root_directory = 7 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for pipelineRootDirectory. |
getStudentModel()
public String getStudentModel()The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
string student_model = 4;
| Returns | |
|---|---|
| Type | Description |
String |
The studentModel. |
getStudentModelBytes()
public ByteString getStudentModelBytes()The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
string student_model = 4;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for studentModel. |
getTeacherModelCase()
public DistillationSpec.TeacherModelCase getTeacherModelCase()| Returns | |
|---|---|
| Type | Description |
DistillationSpec.TeacherModelCase |
|
getTrainingDatasetUri()
public String getTrainingDatasetUri()Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String |
The trainingDatasetUri. |
getTrainingDatasetUriBytes()
public ByteString getTrainingDatasetUriBytes()Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for trainingDatasetUri. |
getTunedTeacherModelSource()
public String getTunedTeacherModelSource() The resource name of the Tuned teacher model. Format:
projects/{project}/locations/{location}/models/{model}.
string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
String |
The tunedTeacherModelSource. |
getTunedTeacherModelSourceBytes()
public ByteString getTunedTeacherModelSourceBytes() The resource name of the Tuned teacher model. Format:
projects/{project}/locations/{location}/models/{model}.
string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for tunedTeacherModelSource. |
getValidationDatasetUri()
public String getValidationDatasetUri()Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
optional string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
String |
The validationDatasetUri. |
getValidationDatasetUriBytes()
public ByteString getValidationDatasetUriBytes()Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
optional string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for validationDatasetUri. |
hasBaseTeacherModel()
public boolean hasBaseTeacherModel()The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
string base_teacher_model = 5;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the baseTeacherModel field is set. |
hasHyperParameters()
public boolean hasHyperParameters()Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the hyperParameters field is set. |
hasTunedTeacherModelSource()
public boolean hasTunedTeacherModelSource() The resource name of the Tuned teacher model. Format:
projects/{project}/locations/{location}/models/{model}.
string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the tunedTeacherModelSource field is set. |
hasValidationDatasetUri()
public boolean hasValidationDatasetUri()Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
optional string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the validationDatasetUri field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(DistillationSpec other)
public DistillationSpec.Builder mergeFrom(DistillationSpec other)| Parameter | |
|---|---|
| Name | Description |
other |
DistillationSpec |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public DistillationSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public DistillationSpec.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
mergeHyperParameters(DistillationHyperParameters value)
public DistillationSpec.Builder mergeHyperParameters(DistillationHyperParameters value)Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
DistillationHyperParameters |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final DistillationSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
setBaseTeacherModel(String value)
public DistillationSpec.Builder setBaseTeacherModel(String value)The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
string base_teacher_model = 5;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe baseTeacherModel to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setBaseTeacherModelBytes(ByteString value)
public DistillationSpec.Builder setBaseTeacherModelBytes(ByteString value)The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
string base_teacher_model = 5;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for baseTeacherModel to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public DistillationSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
setHyperParameters(DistillationHyperParameters value)
public DistillationSpec.Builder setHyperParameters(DistillationHyperParameters value)Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
DistillationHyperParameters |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
setHyperParameters(DistillationHyperParameters.Builder builderForValue)
public DistillationSpec.Builder setHyperParameters(DistillationHyperParameters.Builder builderForValue)Optional. Hyperparameters for Distillation.
.google.cloud.aiplatform.v1beta1.DistillationHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
DistillationHyperParameters.Builder |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
setPipelineRootDirectory(String value)
public DistillationSpec.Builder setPipelineRootDirectory(String value)Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.
string pipeline_root_directory = 7 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe pipelineRootDirectory to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setPipelineRootDirectoryBytes(ByteString value)
public DistillationSpec.Builder setPipelineRootDirectoryBytes(ByteString value)Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.
string pipeline_root_directory = 7 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for pipelineRootDirectory to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public DistillationSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
setStudentModel(String value)
public DistillationSpec.Builder setStudentModel(String value)The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
string student_model = 4;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe studentModel to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setStudentModelBytes(ByteString value)
public DistillationSpec.Builder setStudentModelBytes(ByteString value)The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
string student_model = 4;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for studentModel to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setTrainingDatasetUri(String value)
public DistillationSpec.Builder setTrainingDatasetUri(String value)Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe trainingDatasetUri to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setTrainingDatasetUriBytes(ByteString value)
public DistillationSpec.Builder setTrainingDatasetUriBytes(ByteString value)Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for trainingDatasetUri to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setTunedTeacherModelSource(String value)
public DistillationSpec.Builder setTunedTeacherModelSource(String value) The resource name of the Tuned teacher model. Format:
projects/{project}/locations/{location}/models/{model}.
string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe tunedTeacherModelSource to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setTunedTeacherModelSourceBytes(ByteString value)
public DistillationSpec.Builder setTunedTeacherModelSourceBytes(ByteString value) The resource name of the Tuned teacher model. Format:
projects/{project}/locations/{location}/models/{model}.
string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for tunedTeacherModelSource to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final DistillationSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
|
setValidationDatasetUri(String value)
public DistillationSpec.Builder setValidationDatasetUri(String value)Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
optional string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe validationDatasetUri to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |
setValidationDatasetUriBytes(ByteString value)
public DistillationSpec.Builder setValidationDatasetUriBytes(ByteString value)Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
optional string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for validationDatasetUri to set. |
| Returns | |
|---|---|
| Type | Description |
DistillationSpec.Builder |
This builder for chaining. |