Class InputDataConfig (1.18.2)

Version 1.18.2

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InputDataConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes

Name	Description
fraction_split	google.cloud.aiplatform_v1.types.FractionSplit Split based on fractions defining the size of each set. This field is a member of oneof_ split.
filter_split	google.cloud.aiplatform_v1.types.FilterSplit Split based on the provided filters for each set. This field is a member of oneof_ split.
predefined_split	google.cloud.aiplatform_v1.types.PredefinedSplit Supported only for tabular Datasets. Split based on a predefined key. This field is a member of oneof_ split.
timestamp_split	google.cloud.aiplatform_v1.types.TimestampSplit Supported only for tabular Datasets. Split based on the timestamp of the input data pieces. This field is a member of oneof_ split.
stratified_split	google.cloud.aiplatform_v1.types.StratifiedSplit Supported only for tabular Datasets. Split based on the distribution of the specified column. This field is a member of oneof_ split.
gcs_destination	google.cloud.aiplatform_v1.types.GcsDestination The Cloud Storage location where the training data is to be written to. In the given directory a new directory is created with name: dataset- where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All training input data is written into that directory. The Vertex AI environment variables representing Cloud Storage data URIs are represented in the Cloud Storage wildcard format to support sharded data. e.g.: "gs://.../training-*.jsonl" - AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data - AIP_TRAINING_DATA_URI = "gcs_destination/dataset---/training-*.${AIP_DATA_FORMAT}" - AIP_VALIDATION_DATA_URI = "gcs_destination/dataset---/validation-*.${AIP_DATA_FORMAT}" - AIP_TEST_DATA_URI = "gcs_destination/dataset---/test-*.${AIP_DATA_FORMAT}". This field is a member of oneof_ destination.
bigquery_destination	google.cloud.aiplatform_v1.types.BigQueryDestination Only applicable to custom training with tabular Dataset with BigQuery source. The BigQuery project location where the training data is to be written to. In the given project a new dataset is created with name dataset_ where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training input data is written into that dataset. In the dataset three tables are created, training, validation and test. - AIP_DATA_FORMAT = "bigquery". - AIP_TRAINING_DATA_URI = "bigquery_destination.dataset\_\ **\ .training" - AIP_VALIDATION_DATA_URI = "bigquery_destination.dataset\_\ **\ .validation" - AIP_TEST_DATA_URI = "bigquery_destination.dataset\_\ **\ .test". This field is a member of oneof_ destination.
dataset_id	str Required. The ID of the Dataset in the same Project and Location which data will be used to train the Model. The Dataset must use schema compatible with Model being trained, and what is compatible should be described in the used TrainingPipeline's [training_task_definition] [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]. For tabular Datasets, all their data is exported to training, to pick and choose from.
annotations_filter	str Applicable only to Datasets that have DataItems and Annotations. A filter on Annotations of the Dataset. Only Annotations that both match this filter and belong to DataItems not ignored by the split method are used in respectively training, validation or test role, depending on the role of the DataItem they are on (for the auto-assigned that role is decided by Vertex AI). A filter with same syntax as the one used in ListAnnotations may be used, but note here it filters across all Annotations of the Dataset, and not just within a single DataItem.
annotation_schema_uri	str Applicable only to custom training with Datasets that have DataItems and Annotations. Cloud Storage URI that points to a YAML file describing the annotation schema. The schema is defined as an OpenAPI 3.0.2 `Schema Object
saved_query_id	str Only applicable to Datasets that have SavedQueries. The ID of a SavedQuery (annotation set) under the Dataset specified by dataset_id used for filtering Annotations for training. Only Annotations that are associated with this SavedQuery are used in respectively training. When used in conjunction with annotations_filter, the Annotations used for training are filtered by both saved_query_id and annotations_filter. Only one of saved_query_id and annotation_schema_uri should be specified as both of them represent the same thing: problem type.

Inheritance

builtins.object > proto.message.Message > InputDataConfig