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    public static interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder extends MessageOrBuilder

## Implements

[MessageOrBuilder](https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.MessageOrBuilder.html)

## Methods

### 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** |
| `https://docs.cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1beta1.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** |
| `https://docs.cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1beta1.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** |
| `https://docs.oracle.com/javase/8/docs/api/java/lang/String.html` | 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** |
| `https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.ByteString.html` | The bytes for dataFormat. |

### getDataSourceCase()

    public abstract ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase getDataSourceCase()

| **Returns** ||
|---|---|
| **Type** | **Description** |
| `https://docs.cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1beta1.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** |
| `https://docs.oracle.com/javase/8/docs/api/java/lang/String.html` | 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** |
| `https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.ByteString.html` | 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** |
| `https://docs.cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1beta1.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** |
| `https://docs.cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1beta1.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** |
| `https://docs.cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1beta1.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** |
| `https://docs.cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1beta1.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** |
| `https://docs.oracle.com/javase/8/docs/api/java/lang/String.html` | 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** |
| `https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.ByteString.html` | 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** |
| `https://docs.oracle.com/javase/tutorial/java/nutsandbolts/datatypes.html` | 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** |
| `https://docs.oracle.com/javase/tutorial/java/nutsandbolts/datatypes.html` | 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** |
| `https://docs.oracle.com/javase/tutorial/java/nutsandbolts/datatypes.html` | 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** |
| `https://docs.oracle.com/javase/tutorial/java/nutsandbolts/datatypes.html` | Whether the loggingSamplingStrategy field is set. |