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takuti / stream-recommender

Experiments of item recommendation in a streaming environment
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pls share how to run on Windows computer file experiment.py #1

Closed Sandy4321 closed 6 years ago

Sandy4321 commented 6 years ago

Please help to run some simple example different versions of line to run file experiment.py run gives error

details: main path to project where file experiments located is d:\Recommender systems\code\stream-recommender-master\ pls see below errors for 1 python experiment.py -f .\config\ML100k\iMF.ini 2 python experiment.py -f \config\ML100k\iMF.ini 3 D:\Recommender systems\code\stream-recommender-master>python experiment.py -f D:\Recommender systems\code\stream-recommender-master\config\ML100k\iMF.ini 4 D:\Recommender systems\code\stream-recommender-master>python experiment.py -f "D:\Recommender systems\code\stream-recommender-master\config\ML100k\iMF.ini" 5 D:\Recommender systems\code\stream-recommender-master>python experiment.py -f config\ML100k\iMF.ini

6 may other variants can not run neither python experiment.py -f .\config\example.ini python experiment.py -f \config\example.ini python experiment.py -f .\config\example.ini etc

D:\Recommender systems\code\stream-recommender-master>python experiment.py -f .\config\ML100k\iMF.ini Traceback (most recent call last): File "experiment.py", line 290, in cli() File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 722, in call return self.main(args, kwargs) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 697, in main rv = self.invoke(ctx) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 895, in invoke return ctx.invoke(self.callback, ctx.params) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 535, in invoke return callback(args, **kwargs) File "experiment.py", line 267, in cli exp = Runner(params=params, dataset=dataset, n_epoch=n_epoch) File "experiment.py", line 35, in init self.data = Converter().convert(dataset=dataset) File "D:\Recommender systems\code\stream-recommender-master\converter\converter.py", line 33, in convert c.convert() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 33, in convert self.__load_ratings() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 189, in __load_ratings with open(self.path['ratings'], encoding='ISO-8859-1') as f: FileNotFoundError: [Errno 2] No such file or directory: 'D:\Recommender systems\code\stream-recommender-master\converter\../data/ml-100k/u.data'

D:\Recommender systems\code\stream-recommender-master>python experiment.py -f config\ML100k\iMF.ini Traceback (most recent call last): File "experiment.py", line 290, in cli() File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 722, in call return self.main(args, kwargs) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 697, in main rv = self.invoke(ctx) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 895, in invoke return ctx.invoke(self.callback, ctx.params) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 535, in invoke return callback(args, **kwargs) File "experiment.py", line 267, in cli exp = Runner(params=params, dataset=dataset, n_epoch=n_epoch) File "experiment.py", line 35, in init self.data = Converter().convert(dataset=dataset) File "D:\Recommender systems\code\stream-recommender-master\converter\converter.py", line 33, in convert c.convert() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 33, in convert self.__load_ratings() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 189, in __load_ratings with open(self.path['ratings'], encoding='ISO-8859-1') as f: FileNotFoundError: [Errno 2] No such file or directory: 'D:\Recommender systems\code\stream-recommender-master\converter\../data/ml-100k/u.data'

D:\Recommender systems\code\stream-recommender-master>

D:\Recommender systems\code\stream-recommender-master>python experiment.py -f D:\Recommender systems\code\stream-recommender-master\config\ML100k\iMF.ini Usage: experiment.py [OPTIONS]

Error: Got unexpected extra argument (systems\code\stream-recommender-master\config\ML100k\iMF.ini)

D:\Recommender systems\code\stream-recommender-master>

D:\Recommender systems\code\stream-recommender-master>python experiment.py -f "D:\Recommender systems\code\stream-recommender-master\config\ML100k\iMF.ini" Traceback (most recent call last): File "experiment.py", line 290, in cli() File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 722, in call return self.main(args, kwargs) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 697, in main rv = self.invoke(ctx) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 895, in invoke return ctx.invoke(self.callback, ctx.params) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 535, in invoke return callback(args, **kwargs) File "experiment.py", line 267, in cli exp = Runner(params=params, dataset=dataset, n_epoch=n_epoch) File "experiment.py", line 35, in init self.data = Converter().convert(dataset=dataset) File "D:\Recommender systems\code\stream-recommender-master\converter\converter.py", line 33, in convert c.convert() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 33, in convert self.__load_ratings() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 189, in __load_ratings with open(self.path['ratings'], encoding='ISO-8859-1') as f: FileNotFoundError: [Errno 2] No such file or directory: 'D:\Recommender systems\code\stream-recommender-master\converter\../data/ml-100k/u.data'

D:\Recommender systems\code\stream-recommender-master>

D:\Recommender systems\code\stream-recommender-master>python experiment.py -f config\ML100k\iMF.ini Traceback (most recent call last): File "experiment.py", line 290, in cli() File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 722, in call return self.main(args, kwargs) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 697, in main rv = self.invoke(ctx) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 895, in invoke return ctx.invoke(self.callback, ctx.params) File "C:\Users\Sander\Anaconda3\lib\site-packages\click\core.py", line 535, in invoke return callback(args, **kwargs) File "experiment.py", line 267, in cli exp = Runner(params=params, dataset=dataset, n_epoch=n_epoch) File "experiment.py", line 35, in init self.data = Converter().convert(dataset=dataset) File "D:\Recommender systems\code\stream-recommender-master\converter\converter.py", line 33, in convert c.convert() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 33, in convert self.__load_ratings() File "D:\Recommender systems\code\stream-recommender-master\converter\MovieLens100k.py", line 189, in __load_ratings with open(self.path['ratings'], encoding='ISO-8859-1') as f: FileNotFoundError: [Errno 2] No such file or directory: 'D:\Recommender systems\code\stream-recommender-master\converter\../data/ml-100k/u.data'

D:\Recommender systems\code\stream-recommender-master>

Sandy4321 commented 6 years ago

OK, I run in IDE line by line and in file MovieLens100k line with open(self.path['ratings'], encoding='ISO-8859-1') as f:

from def __load_ratings(self): """Load all samples in the dataset.

    """
    ratings = []
    with open(self.path['ratings'], encoding='ISO-8859-1') as f:

I see what is in variable self.path['ratings'] 'd:\Recommender systems\code\stream-recommender-master\converter\../data/ml-100k/u.data'

So , you use Unix path style, lets say I will override it but still please help to understand what file u.data is? how to get it from ml-100k data? Thanks a lot in advance

takuti commented 6 years ago

For Windows vs. UNIX path, yea, you need to overwrite the. Or, the FluRS package fixes the issue by creating path with os.path.join.

ML100k data is available at: https://grouplens.org/datasets/movielens/100k/ Once you download and decompress ml-100k.zip, the folder contains u.data.

Sandy4321 commented 6 years ago

great thanks