PretrainedDocumentClassificationModelDetails¶
- class oci.ai_document.models.PretrainedDocumentClassificationModelDetails(**kwargs)¶
Bases:
ModelMetricsPossible pre-trained document classification model information..
Attributes:
A constant which can be used with the model_type property of a ModelMetrics.
A constant which can be used with the model_type property of a ModelMetrics.
A constant which can be used with the model_type property of a ModelMetrics.
A constant which can be used with the model_type property of a ModelMetrics.
A constant which can be used with the model_type property of a ModelMetrics.
A constant which can be used with the model_type property of a ModelMetrics.
A constant which can be used with the model_type property of a ModelMetrics.
Gets the dataset_summary of this ModelMetrics.
[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'¶
A constant which can be used with the model_type property of a ModelMetrics. This constant has a value of “DOCUMENT_CLASSIFICATION”
- MODEL_TYPE_KEY_VALUE_EXTRACTION = 'KEY_VALUE_EXTRACTION'¶
A constant which can be used with the model_type property of a ModelMetrics. This constant has a value of “KEY_VALUE_EXTRACTION”
- MODEL_TYPE_PRE_TRAINED_DOCUMENT_CLASSIFICATION = 'PRE_TRAINED_DOCUMENT_CLASSIFICATION'¶
A constant which can be used with the model_type property of a ModelMetrics. This constant has a value of “PRE_TRAINED_DOCUMENT_CLASSIFICATION”
- MODEL_TYPE_PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION = 'PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION'¶
A constant which can be used with the model_type property of a ModelMetrics. This constant has a value of “PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION”
- MODEL_TYPE_PRE_TRAINED_KEY_VALUE_EXTRACTION = 'PRE_TRAINED_KEY_VALUE_EXTRACTION'¶
A constant which can be used with the model_type property of a ModelMetrics. This constant has a value of “PRE_TRAINED_KEY_VALUE_EXTRACTION”
- MODEL_TYPE_PRE_TRAINED_TABLE_EXTRACTION = 'PRE_TRAINED_TABLE_EXTRACTION'¶
A constant which can be used with the model_type property of a ModelMetrics. This constant has a value of “PRE_TRAINED_TABLE_EXTRACTION”
- MODEL_TYPE_PRE_TRAINED_TEXT_EXTRACTION = 'PRE_TRAINED_TEXT_EXTRACTION'¶
A constant which can be used with the model_type property of a ModelMetrics. This constant has a value of “PRE_TRAINED_TEXT_EXTRACTION”
- __init__(**kwargs)¶
Initializes a new PretrainedDocumentClassificationModelDetails object with values from keyword arguments. The default value of the
model_typeattribute of this class isPRE_TRAINED_DOCUMENT_CLASSIFICATIONand 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.
- property dataset_summary¶
Gets the dataset_summary of this ModelMetrics.
- Returns
The dataset_summary of this ModelMetrics.
- Return type
- 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.
- property 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