DatasetSummary¶

class oci.ai_document.models.DatasetSummary(**kwargs)¶

Bases: object

Summary of count of samples used during model training.

Methods

__init__(**kwargs) Initializes a new DatasetSummary object with values from keyword arguments.

Attributes

`test_sample_count`	Gets the test_sample_count of this DatasetSummary.
`training_sample_count`	Gets the training_sample_count of this DatasetSummary.
`validation_sample_count`	Gets the validation_sample_count of this DatasetSummary.

__init__(**kwargs)¶

Initializes a new DatasetSummary object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:	training_sample_count (int) – The value to assign to the training_sample_count property of this DatasetSummary. validation_sample_count (int) – The value to assign to the validation_sample_count property of this DatasetSummary. test_sample_count (int) – The value to assign to the test_sample_count property of this DatasetSummary.

test_sample_count¶

Gets the test_sample_count of this DatasetSummary. Number of samples used for testing the model.

Returns:	The test_sample_count of this DatasetSummary.
Return type:	int

training_sample_count¶

Gets the training_sample_count of this DatasetSummary. Number of samples used for training the model.

Returns:	The training_sample_count of this DatasetSummary.
Return type:	int

validation_sample_count¶

Gets the validation_sample_count of this DatasetSummary. Number of samples used for validating the model.

Returns:	The validation_sample_count of this DatasetSummary.
Return type:	int