TextClassificationModelEvaluationResult¶

class oci.ai_language.models.TextClassificationModelEvaluationResult(**kwargs)¶

Bases: oci.ai_language.models.evaluation_result_summary.EvaluationResultSummary

Possible TXTC model error analysis

Methods

`__init__`(**kwargs)	Initializes a new TextClassificationModelEvaluationResult 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.

Attributes

`defined_tags`	Gets the defined_tags of this EvaluationResultSummary.
`freeform_tags`	Gets the freeform_tags of this EvaluationResultSummary.
`location`	[Required] Gets the location of this TextClassificationModelEvaluationResult.
`model_type`	[Required] Gets the model_type of this EvaluationResultSummary.
`predicted_labels`	Gets the predicted_labels of this TextClassificationModelEvaluationResult.
`true_labels`	[Required] Gets the true_labels of this TextClassificationModelEvaluationResult.

__init__(**kwargs)¶

Initializes a new TextClassificationModelEvaluationResult object with values from keyword arguments. The default value of the model_type attribute of this class is TEXT_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 TextClassificationModelEvaluationResult.
freeform_tags (dict(str, str)) – The value to assign to the freeform_tags property of this TextClassificationModelEvaluationResult.
defined_tags (dict(str, dict(str, object))) – The value to assign to the defined_tags property of this TextClassificationModelEvaluationResult.
location (str) – The value to assign to the location property of this TextClassificationModelEvaluationResult.
true_labels (list[str]) – The value to assign to the true_labels property of this TextClassificationModelEvaluationResult.
predicted_labels (list[str]) – The value to assign to the predicted_labels property of this TextClassificationModelEvaluationResult.

defined_tags¶

Gets the defined_tags of this EvaluationResultSummary. Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: {“foo-namespace”: {“bar-key”: “value”}}

Returns:	The defined_tags of this EvaluationResultSummary.
Return type:	dict(str, dict(str, object))

freeform_tags¶

Gets the freeform_tags of this EvaluationResultSummary. Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: {“bar-key”: “value”}

Returns:	The freeform_tags of this EvaluationResultSummary.
Return type:	dict(str, str)

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.

location¶

[Required] Gets the location of this TextClassificationModelEvaluationResult. For CSV format location is rowId(1 is header) and for JSONL location is jsonL line sequence(1 is metadata)

Returns:	The location of this TextClassificationModelEvaluationResult.
Return type:	str

model_type¶

[Required] Gets the model_type of this EvaluationResultSummary. Model type

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

predicted_labels¶

Gets the predicted_labels of this TextClassificationModelEvaluationResult. List of predicted labels by custom multi class or multi label TextClassification model

Returns:	The predicted_labels of this TextClassificationModelEvaluationResult.
Return type:	list[str]

true_labels¶

[Required] Gets the true_labels of this TextClassificationModelEvaluationResult. List of true(actual) labels in test data for multi class or multi label TextClassification

Returns:	The true_labels of this TextClassificationModelEvaluationResult.
Return type:	list[str]