o h @sXdZddlZddlZddlZddlmZedZddZ ddZe d kr*edSdS) z8 Utils to evaluate many models of the same type at once N)mainzstanza.lemmaclassifierc Cs,ddddd}t|}t|}|D]=}tj||}||_t|d\}}} } |D]} || ddd} || | 7<q)|d| 7<|d| 7<q|d|<|d |<|d|<|d|<t d |d d|dd |dd |d dd|dd|d |S)Ng)behaveaccuracy weighted_f1)predefined_argsf1drrrrz Models in z had average weighted f1 of z. Lemma 'be' had f1: z Lemma 'have' had f1: z . Accuracy: z. (z models evaluated).) oslistdirlenpathjoin save_name evaluate_maingetloggerinfo) path_to_models_dirargs total_resultspaths num_models model_path full_path mcc_results confusionaccrlemmalemma_f1r g/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/models/lemma_classifier/evaluate_many.pyevaluate_n_models s, Hr"cCsDt}|jdtddd|jdtddd|jdtd d d|jd tdd d|jd dddd|jdtddd|jdttjtjt dddd|jdttjtjt dddd|jdttjtjt dddd|jdtd d!d|jd"tdd#d|jd$td%d&|jd'tdd(d| }t |j |dS))Nz --vocab_sizei'zNumber of tokens in vocab)typedefaulthelpz--embedding_dimr z?Number of dimensions in word embeddings (currently using GloVe)z --hidden_dimzSize of hidden layerz--wordvec_pretrain_filez'Exact name of the pretrain file to readz--charlm store_trueFz(Whether not to use the charlm embeddings)actionr$r%z--charlm_shorthandz=Shorthand for character-level language model training corpus.z--charlm_forward_file charlm_filesz1billion_forward.ptzPath to forward charlm filez--charlm_backward_filez1billion_backwards.ptzPath to backward charlm filez --save_name saved_modelszlemma_classifier_model.ptzPath to model save filez --model_typerobertaz8Which transformer to use ('bert' or 'roberta' or 'lstm')z --bert_modelz>Use a specific transformer instead of the default bert/robertaz --eval_filezpath to evaluation file)r#r%z --base_pathzpath to dir for eval) argparseArgumentParser add_argumentintstrr r rdirname__file__ parse_argsr" base_path)parserrr r r!r-s &&&r__main__) __doc__r,r logging.stanza.models.lemma_classifier.evaluate_modelsrr getLoggerrr"__name__r r r r!s