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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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.SamplingStrategy logging_sampling_strategy = 7;
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the loggingSamplingStrategy field is set. |