five-fold cross-validation with splitted dataset movielens 10m

[hancho80]

Is it possible to do evaluation with mymedialite tool ‘’rating_prediction’’ using splitted dataset (movielens 10m) for five-fold cross-validation of rating predictions. Dataset is splitted in r1.test.... r5.test, r1.train.... r5.train. I have managed to execute evaluation with full dataset (ratings.dat) with command : „rating_prediction --recommender=BiasedMatrixFactorization --file-format=movielens_1m --training-file=ratings.dat --data-dir=ml-10m --cross-validation=5“, but have no idea how to provide it with splitted dataset.

[Zeno Gantner]

Hi,

--cross-validation=5 will take 1 data set and do the splitting itself.

If you want to use a data set that is already split, just call rating_prediction 5 times with different --training-file and --test-file parameters.

I hope that helps.

Cheers,

   Z.

On Wed, Jul 27, 2016 at 2:15 PM, hancho80 <hanc...@gmail.com> wrote:

Is it possible to do evaluation with mymedialite tool ‘’rating_prediction’’ using splitted dataset (movielens 10m) for five-fold cross-validation of rating predictions. Dataset is splitted in r1.test.... r5.test, r1.train.... r5.train. I have managed to execute evaluation with full dataset (ratings.dat) with command : „rating_prediction --recommender=BiasedMatrixFactorization --file-format=movielens_1m --training-file=ratings.dat --data-dir=ml-10m --cross-validation=5“, but have no idea how to provide it with splitted dataset.

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[hancho80 .]

Hi,

Thank you very much for the information, that will helps.

Cheers,

Asmir

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[computer.s...@gmail.com]

hi.

Im working on movielens dataset (10M) for my thesis but I cant understand how I can make training and testing. please help me and describe for me step by step.

thanks. 

[Zeno Gantner]

Hello,

I am not sure what you do not understand.

Please have a look at the documentation
http://mymedialite.net/documentation/index.html and try some things.
If you then have a concrete question, feel free to ask.

Cheers,
Z.