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public static final class ModelMonitoringObjectiveConfig.TrainingDataset.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingDataset.Builder> implements ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilderTraining Dataset information.
Protobuf type
google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveConfig.TrainingDataset.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
build()
public ModelMonitoringObjectiveConfig.TrainingDataset build()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset |
|
buildPartial()
public ModelMonitoringObjectiveConfig.TrainingDataset buildPartial()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset |
|
clear()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clear()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
clearBigquerySource()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearBigquerySource()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
clearDataFormat()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearDataFormat()Data format of the dataset, only applicable if the input is from Google Cloud Storage. The possible formats are:
"tf-record" The source file is a TFRecord file.
"csv" The source file is a CSV file. "jsonl" The source file is a JSONL file.
string data_format = 2;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
clearDataSource()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearDataSource()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
clearDataset()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearDataset()The resource name of the Dataset used to train this Model.
string dataset = 3 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
clearGcsSource()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearGcsSource()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
clearLoggingSamplingStrategy()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearLoggingSamplingStrategy()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
clearTargetField()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearTargetField()The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.
string target_field = 6;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
clone()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clone()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
getBigquerySource()
public BigQuerySource getBigquerySource()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
BigQuerySource |
The bigquerySource. |
getBigquerySourceBuilder()
public BigQuerySource.Builder getBigquerySourceBuilder()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
BigQuerySource.Builder |
|
getBigquerySourceOrBuilder()
public BigQuerySourceOrBuilder getBigquerySourceOrBuilder()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
BigQuerySourceOrBuilder |
|
getDataFormat()
public String getDataFormat()Data format of the dataset, only applicable if the input is from Google Cloud Storage. The possible formats are:
"tf-record" The source file is a TFRecord file.
"csv" The source file is a CSV file. "jsonl" The source file is a JSONL file.
string data_format = 2;
| Returns | |
|---|---|
| Type | Description |
String |
The dataFormat. |
getDataFormatBytes()
public ByteString getDataFormatBytes()Data format of the dataset, only applicable if the input is from Google Cloud Storage. The possible formats are:
"tf-record" The source file is a TFRecord file.
"csv" The source file is a CSV file. "jsonl" The source file is a JSONL file.
string data_format = 2;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for dataFormat. |
getDataSourceCase()
public ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase getDataSourceCase()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase |
|
getDataset()
public String getDataset()The resource name of the Dataset used to train this Model.
string dataset = 3 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
String |
The dataset. |
getDatasetBytes()
public ByteString getDatasetBytes()The resource name of the Dataset used to train this Model.
string dataset = 3 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for dataset. |
getDefaultInstanceForType()
public ModelMonitoringObjectiveConfig.TrainingDataset getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getGcsSource()
public GcsSource getGcsSource()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
GcsSource |
The gcsSource. |
getGcsSourceBuilder()
public GcsSource.Builder getGcsSourceBuilder()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
GcsSource.Builder |
|
getGcsSourceOrBuilder()
public GcsSourceOrBuilder getGcsSourceOrBuilder()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
GcsSourceOrBuilder |
|
getLoggingSamplingStrategy()
public SamplingStrategy getLoggingSamplingStrategy()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
SamplingStrategy |
The loggingSamplingStrategy. |
getLoggingSamplingStrategyBuilder()
public SamplingStrategy.Builder getLoggingSamplingStrategyBuilder()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
SamplingStrategy.Builder |
|
getLoggingSamplingStrategyOrBuilder()
public SamplingStrategyOrBuilder getLoggingSamplingStrategyOrBuilder()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
SamplingStrategyOrBuilder |
|
getTargetField()
public String getTargetField()The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.
string target_field = 6;
| Returns | |
|---|---|
| Type | Description |
String |
The targetField. |
getTargetFieldBytes()
public ByteString getTargetFieldBytes()The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.
string target_field = 6;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for targetField. |
hasBigquerySource()
public boolean hasBigquerySource()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the bigquerySource field is set. |
hasDataset()
public boolean hasDataset()The resource name of the Dataset used to train this Model.
string dataset = 3 [(.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the dataset field is set. |
hasGcsSource()
public boolean hasGcsSource()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the gcsSource field is set. |
hasLoggingSamplingStrategy()
public boolean hasLoggingSamplingStrategy()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the loggingSamplingStrategy field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeBigquerySource(BigQuerySource value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeBigquerySource(BigQuerySource value)The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Parameter | |
|---|---|
| Name | Description |
value |
BigQuerySource |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
mergeFrom(ModelMonitoringObjectiveConfig.TrainingDataset other)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeFrom(ModelMonitoringObjectiveConfig.TrainingDataset other)| Parameter | |
|---|---|
| Name | Description |
other |
ModelMonitoringObjectiveConfig.TrainingDataset |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
mergeGcsSource(GcsSource value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeGcsSource(GcsSource value)The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Parameter | |
|---|---|
| Name | Description |
value |
GcsSource |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
mergeLoggingSamplingStrategy(SamplingStrategy value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeLoggingSamplingStrategy(SamplingStrategy value)Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Parameter | |
|---|---|
| Name | Description |
value |
SamplingStrategy |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setBigquerySource(BigQuerySource value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setBigquerySource(BigQuerySource value)The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Parameter | |
|---|---|
| Name | Description |
value |
BigQuerySource |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setBigquerySource(BigQuerySource.Builder builderForValue)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setBigquerySource(BigQuerySource.Builder builderForValue)The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 5;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
BigQuerySource.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setDataFormat(String value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDataFormat(String value)Data format of the dataset, only applicable if the input is from Google Cloud Storage. The possible formats are:
"tf-record" The source file is a TFRecord file.
"csv" The source file is a CSV file. "jsonl" The source file is a JSONL file.
string data_format = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe dataFormat to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
setDataFormatBytes(ByteString value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDataFormatBytes(ByteString value)Data format of the dataset, only applicable if the input is from Google Cloud Storage. The possible formats are:
"tf-record" The source file is a TFRecord file.
"csv" The source file is a CSV file. "jsonl" The source file is a JSONL file.
string data_format = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for dataFormat to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
setDataset(String value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDataset(String value)The resource name of the Dataset used to train this Model.
string dataset = 3 [(.google.api.resource_reference) = { ... }
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe dataset to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
setDatasetBytes(ByteString value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDatasetBytes(ByteString value)The resource name of the Dataset used to train this Model.
string dataset = 3 [(.google.api.resource_reference) = { ... }
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for dataset to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setGcsSource(GcsSource value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setGcsSource(GcsSource value)The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Parameter | |
|---|---|
| Name | Description |
value |
GcsSource |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setGcsSource(GcsSource.Builder builderForValue)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setGcsSource(GcsSource.Builder builderForValue)The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 4;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
GcsSource.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setLoggingSamplingStrategy(SamplingStrategy value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setLoggingSamplingStrategy(SamplingStrategy value)Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Parameter | |
|---|---|
| Name | Description |
value |
SamplingStrategy |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue)Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
SamplingStrategy.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|
setTargetField(String value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setTargetField(String value)The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.
string target_field = 6;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe targetField to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
setTargetFieldBytes(ByteString value)
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setTargetFieldBytes(ByteString value)The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.
string target_field = 6;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for targetField to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.TrainingDataset.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
|