scorers = [ (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]), (Meteor(),"METEOR"), (Rouge(), "ROUGE_L"), (Cider(), "CIDEr"), (Spice(), "SPICE"), (WMD(), "WMD"), ] def compute_scores(self): total_scores = {} for scorer, method in self.scorers: print(...
[FIXED] TypeError: "value" parameter must be a scalar, dict or Series, but you passed a "Index" February 08, 2024 dataframe, fillna, nan, pandas, python-3.x No comments Issue df = df['Consequence Number'].fillna("CLS" + df.index.astype(str)) I did try the above solution alo...
""" target_filenames = _glob(target_filepattern) prediction_filenames = _glob(prediction_filepattern) scores = _compute_scores(target_filenames, prediction_filenames, scorer, delimiter) if aggregator: for score in scores: aggregator.add_scores(score) _write_aggregates_to_csv(output_filename...
'rouged', 'roupet', 'routed', 'drippy', 'grippe', 'tribal', 'tropal', 'trigon', 'tricot', 'dialed', 'didler', 'dapper', 'dipter', 'dupper', 'gipper', 'hipper', 'jipper', 'kipper', 'lipper', 'nipper', 'pipper', 'ripper', 'tipper', 'zipper', 'dragee', 'propel', ...
PythonFixing contains a large number of fixes for Python, Django, Flask, Tensorflow, Selenium, PyQT and other Python related issues. Daily Updated!