- 3.49.0 (latest)
- 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 MessageOrBuilder
Implements
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. |