jkrusina / soccerpredictor Goto Github PK
View Code? Open in Web Editor NEWPredicting soccer matches outcomes with machine learning as time series.
Predicting soccer matches outcomes with machine learning as time series.
Very interesting project, I learned a lot from this project, thanks🙏
Hi,
I'm very interested in testing your script, but I have no starting point. It would be very helpful if you provide a test data sample or at least specify how is the table format, columns, or the table contents.
Best,
Ricardo Faria
Traceback (most recent call last):
File "C:\Users\usr\Downloads\SoccerPredictor-master\main.py", line 21, in <module>
pd.set_option("display.max_colwidth", -1)
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\_config\config.py", line 261, in __call__
return self.__func__(*args, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\_config\config.py", line 160, in _set_option
o.validator(v)
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\_config\config.py", line 882, in is_nonnegative_int
raise ValueError(msg)
ValueError: Value must be a nonnegative integer or None
C:\Users\usr\Downloads\SoccerPredictor-master>python main.py -h
Traceback (most recent call last):
File "C:\Users\usr\Downloads\SoccerPredictor-master\main.py", line 21, in <module>
pd.set_option("display.max_colwidth", -1)
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\_config\config.py", line 261, in __call__
return self.__func__(*args, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\_config\config.py", line 160, in _set_option
o.validator(v)
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\_config\config.py", line 882, in is_nonnegative_int
raise ValueError(msg)
ValueError: Value must be a nonnegative integer or None
Awesome stuff you got build up here. It truly is an inspiration. But about the dataset. Can you at least provide an example of how the dataset should look like?
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