"smog_index": textstat.smog_index(text),
        "coleman_liau_index": textstat.coleman_liau_index(text),
        "automated_readability_index": textstat.automated_readability_index(text),
        "dale_chall_readability_score": textstat.dale_chall_readability_score(text),
        "difficult_words": textstat.difficult_words(text),
        "linsear_write_formula": textstat.linsear_write_formula(text),
        "gunning_fog": textstat.gunning_fog(text),
        "text_standard": textstat.text_standard(text),
        "fernandez_huerta": textstat.fernandez_huerta(text),
        "szigriszt_pazos": textstat.szigriszt_pazos(text),
        "gutierrez_polini": textstat.gutierrez_polini(text),
        "crawford": textstat.crawford(text),
        "gulpease_index": textstat.gulpease_index(text),
        "osman": textstat.osman(text),
    }
    return text_complexity_metrics
def _summarize_metrics_for_generated_outputs(metrics: Sequence) -> dict:
    pd = import_pandas()
    metrics_df = pd.DataFrame(metrics)
    metrics_summary = metrics_df.describe()
    return metrics_summary.to_dict()
[docs]class CometCallbackHandler(BaseMetadataCallbackHandler, BaseCallbackHandler):
    """Callback Handler that logs to Comet.
    Parameters:
        job_type (str): The type of comet_ml task such as "inference",
            "testing" or "qc"
        project_name (str): The comet_ml project name
        tags (list): Tags to add to the task
        task_name (str): Name of the comet_ml task