Closed maragato2000 closed 3 weeks ago
Thanks for reporting @maragato2000, to clarify, is the true filename something like this?
'results\class_probabilities<UNK>.npy'
I'm wondering if this has to do with having special characters in the path name.
Yes indeed, results\class_probabilities.npy with no
By the way, strangely enough (and besides inside the results directory) i find the same files under system32 and also on the directory just before results...
Le ven. 3 déc. 2021 à 18:12, Travis Addair @.***> a écrit :
Thanks for reporting @maragato2000 https://github.com/maragato2000, to clarify, is the true filename something like this?
'results\class_probabilities
.npy' I'm wondering if this has to do with having special characters in the path name.
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Sounds like this may be an issue with the way special characters are handled on Windows. Do you have a small repro script we can run? We can try to setup Windows tests and see if it produces the same error.
Can reproduce this on Ludwig 0.4.1 on Windows. Issue is exactly the special characters not being allowed in Windows. Other files use the square brackets [] (legal) instead of angled brackets <> (illegal)
Using [UNK] instead of
I think i might not be the first one on this but as i see no activity on the other posts this might make it visible and a part of the message does not show on their posts for others ....
Concerns a simple text classification model as the one describe in the intro. Model seems to be created correctely but when asking to predict after some running it throughs an error OSError: [Errno 22] Invalid argument: 'results\classprobabilities.npy'
the exact command I am executing >>>> (ludwigenv) C:\Users\GT>ludwig predict --dataset C:/GT/TestKyri/Jan2018AplicarMod.csv --model_path C:/Users/GT/results/experiment_run/model
the config.yaml file describing the network model >>>>{input_features: [{name: doc_text, type: text}], output_features: [{name: class, type: category}]}
logs.zip most importantly, the log file from a failing run >>>>
Evaluation: 100%| C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\sklearn\metrics_classification.py:1308: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use zero_division parameter to control this behavior. _warn_prf(average, modifier, msg_start, len(result)) C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\sklearn\metrics_classification.py:1308: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use zero_division parameter to control this behavior. _warn_prf(average, modifier, msg_start, len(result)) Traceback (most recent call last): File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\runpy.py", line 87, in run_code exec(code, run_globals) File "C:\Users\GT\Anaconda3\envs\ludwigenv\Scripts\ludwig.exe_main.py", line 7, in File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\cli.py", line 136, in main CLI() File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\cli.py", line 71, in init getattr(self, args.command)() File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\cli.py", line 83, in evaluate evaluate.cli(sys.argv[2:]) File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\evaluate.py", line 295, in cli evaluate_cli(**vars(args)) File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\evaluate.py", line 122, in evaluate_cli model.evaluate( File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\api.py", line 871, in evaluate postproc_predictions = postprocess( File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\data\postprocessing.py", line 56, in postprocess _save_as_numpy(predictions, output_directory, saved_keys) File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\ludwig\data\postprocessing.py", line 69, in save_as_numpy np.save(npy_filename.format(k), v) File "", line 5, in save
File "C:\Users\GT\Anaconda3\envs\ludwigenv\lib\site-packages\numpy\lib\npyio.py", line 525, in save
file_ctx = open(file, "wb")
OSError: [Errno 22] Invalid argument: 'results\classprobabilities"smaller than sign" UNK "bigger than sign".npy'
!! i have added "smaller than sign" UNK "bigger than sign".npy as original message will not show it here in the posts (neither on the persons having this same issue.
Environment ):
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