PretrainedDocumentClassificationModelDetails¶

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

Bases: oci.ai_document.models.model_metrics.ModelMetrics

Possible pre-trained document classification model information..

Attributes

`MODEL_TYPE_DOCUMENT_CLASSIFICATION`	str(object=’’) -> str
`MODEL_TYPE_KEY_VALUE_EXTRACTION`	str(object=’’) -> str
`MODEL_TYPE_PRE_TRAINED_DOCUMENT_CLASSIFICATION`	str(object=’’) -> str
`MODEL_TYPE_PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION`	str(object=’’) -> str
`MODEL_TYPE_PRE_TRAINED_KEY_VALUE_EXTRACTION`	str(object=’’) -> str
`MODEL_TYPE_PRE_TRAINED_TABLE_EXTRACTION`	str(object=’’) -> str
`MODEL_TYPE_PRE_TRAINED_TEXT_EXTRACTION`	str(object=’’) -> str
`dataset_summary`	Gets the dataset_summary of this ModelMetrics.
`model_type`	[Required] Gets the model_type of this ModelMetrics.

Methods

`__init__`(**kwargs)	Initializes a new PretrainedDocumentClassificationModelDetails object with values from keyword arguments.
`get_subtype`(object_dictionary)	Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

MODEL_TYPE_DOCUMENT_CLASSIFICATION = 'DOCUMENT_CLASSIFICATION'¶

MODEL_TYPE_KEY_VALUE_EXTRACTION = 'KEY_VALUE_EXTRACTION'¶

MODEL_TYPE_PRE_TRAINED_DOCUMENT_CLASSIFICATION = 'PRE_TRAINED_DOCUMENT_CLASSIFICATION'¶

MODEL_TYPE_PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION = 'PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION'¶

MODEL_TYPE_PRE_TRAINED_KEY_VALUE_EXTRACTION = 'PRE_TRAINED_KEY_VALUE_EXTRACTION'¶

MODEL_TYPE_PRE_TRAINED_TABLE_EXTRACTION = 'PRE_TRAINED_TABLE_EXTRACTION'¶

MODEL_TYPE_PRE_TRAINED_TEXT_EXTRACTION = 'PRE_TRAINED_TEXT_EXTRACTION'¶

__init__(**kwargs)¶

Initializes a new PretrainedDocumentClassificationModelDetails object with values from keyword arguments. The default value of the model_type attribute of this class is PRE_TRAINED_DOCUMENT_CLASSIFICATION and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:

model_type (str) – The value to assign to the model_type property of this PretrainedDocumentClassificationModelDetails. Allowed values for this property are: “KEY_VALUE_EXTRACTION”, “DOCUMENT_CLASSIFICATION”, “PRE_TRAINED_TEXT_EXTRACTION”, “PRE_TRAINED_TABLE_EXTRACTION”, “PRE_TRAINED_KEY_VALUE_EXTRACTION”, “PRE_TRAINED_DOCUMENT_CLASSIFICATION”, “PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION”
dataset_summary (oci.ai_document.models.DatasetSummary) – The value to assign to the dataset_summary property of this PretrainedDocumentClassificationModelDetails.

dataset_summary¶

Gets the dataset_summary of this ModelMetrics.

Returns:	The dataset_summary of this ModelMetrics.
Return type:	oci.ai_document.models.DatasetSummary

static get_subtype(object_dictionary)¶: Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

model_type¶

[Required] Gets the model_type of this ModelMetrics. The type of custom model trained.

Allowed values for this property are: “KEY_VALUE_EXTRACTION”, “DOCUMENT_CLASSIFICATION”, “PRE_TRAINED_TEXT_EXTRACTION”, “PRE_TRAINED_TABLE_EXTRACTION”, “PRE_TRAINED_KEY_VALUE_EXTRACTION”, “PRE_TRAINED_DOCUMENT_CLASSIFICATION”, “PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The model_type of this ModelMetrics.
Return type:	str