- 3.54.0 (latest)
- 3.53.0
- 3.52.0
- 3.50.0
- 3.49.0
- 3.48.0
- 3.47.0
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.0
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.0
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.0
- 3.14.0
- 3.13.0
- 3.12.0
- 3.11.0
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.2
- 3.3.0
- 3.2.0
- 3.0.0
- 2.9.8
- 2.8.9
- 2.7.4
- 2.5.3
- 2.4.0
public static interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getBigquerySource()
public abstract BigQuerySource getBigquerySource()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
BigQuerySource | The bigquerySource. |
getBigquerySourceOrBuilder()
public abstract BigQuerySourceOrBuilder getBigquerySourceOrBuilder()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
BigQuerySourceOrBuilder | |
getDataFormat()
public abstract 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 abstract 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 abstract ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase getDataSourceCase()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase | |
getDataset()
public abstract 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 abstract 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. |
getGcsSource()
public abstract GcsSource getGcsSource()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
GcsSource | The gcsSource. |
getGcsSourceOrBuilder()
public abstract GcsSourceOrBuilder getGcsSourceOrBuilder()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
GcsSourceOrBuilder | |
getLoggingSamplingStrategy()
public abstract SamplingStrategy getLoggingSamplingStrategy()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
SamplingStrategy | The loggingSamplingStrategy. |
getLoggingSamplingStrategyOrBuilder()
public abstract SamplingStrategyOrBuilder getLoggingSamplingStrategyOrBuilder()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
SamplingStrategyOrBuilder | |
getTargetField()
public abstract 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 abstract 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 abstract boolean hasBigquerySource()The BigQuery table of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the bigquerySource field is set. |
hasDataset()
public abstract 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 abstract boolean hasGcsSource()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the gcsSource field is set. |
hasLoggingSamplingStrategy()
public abstract boolean hasLoggingSamplingStrategy()Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the loggingSamplingStrategy field is set. |