Evaluate

Evaluate the model performance using the given metrics.

Parameters:

Name	Type	Description	Default
`metrics`	`dict`	The evaluation metrics.	required
`dataset_id`	`str`	The ID of the dataset.	`None`
`multi_column_roots`	`list`	A list of column roots.	`None`
`input_text_col_index`	`int`	The index of the input text column.	`None`
`document_files`	`list`	List of paths to document files, if any.	`None`

Returns:

Name	Type	Description
`dict`		A dictionary containing evaluation results.

Sample usage

from anote import EvaluationMetric

metrics = [
    EvaluationMetric.PRECISION,
    EvaluationMetric.RECALL,
    EvaluationMetric.F1
]

evaluation = anote.evaluate(
    metrics=metrics,
    task_type=task_type,
    report_name="evaluation_report",
    dataset_id=dataset_id,
    multi_column_roots=multi_column_roots,
    input_text_col_index=input_text_col_index
)
print(f"Evaluation Results: {evaluation}")