How do you split the Movielens dataset?

[Wang Dawei]

Hi:

Hope all is well. 

I'm comparing the result of my algorithm with yours on your website.

I wonder what script do you use to split your movielens 100k dataset? on your website: http://mymedialite.net/examples/datasets.html you are saying you split your mk100k with --random-seed=1, is that the same splitting file you provided here named crossvalidation.pl? https://github.com/zenogantner/MyMediaLite/tree/master/scripts 

if so.. What is the random seed when you split the ml-1m? You didn't specify that on your web. Are you using the same crossvalidation.pl to split ml100k and ml1m with random seed=1? Or are you using the already splited files that comes with the mk100k?

Thank you in advance.

Best,

D

[Zeno Gantner]

Hello, 

The crossvalidation.pl script was not used for those experiments. 

Just pass --random-seed=1 and --crossvalidation=5 to the command-line program.

Cheers,

    Z. 

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[Wang Dawei]

Thank you so much for your reply.

I was looking at your github earlier and didn't find the program folder. Now I downloaded your newest version and find that. I wonder which source code do you use to generate cross validation files? Can those files be exported to txt file like the script that comes together in the ml-100k file? I need to  run my test on the same 5-fold test files to compare with your result posted on your website.

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[Zeno Gantner]

Am 01.02.2017 3:03 nachm. schrieb "Wang Dawei" <weeo...@gmail.com>:

Thank you so much for your reply.

I was looking at your github earlier and didn't find the program folder. Now I downloaded your newest version and find that. I wonder which source code do you use to generate cross validation files? Can those files be exported to txt file like the script that comes together in the ml-100k file? I need to  run my test on the same 5-fold test files to compare with your result posted on your website.

With some C# programming this is possible.

First you need to set
MyMediaLite.Random.Seed = 1;

You can use MyMediaLite.IO.RatingData to load the data and MyMediaLite.Data.RatingCrossValidationSplit to do the split.

Then iterating over the data and writing it to a file should be trivial.

This should give you exactly the same split.

Cheers,

   Z.

 

On Wednesday, February 1, 2017 at 4:23:40 AM UTC-5, Zeno Gantner wrote:

Hello, 

The crossvalidation.pl script was not used for those experiments. 

Just pass --random-seed=1 and --crossvalidation=5 to the command-line program.

Cheers,

    Z. 

Am 30.01.2017 8:28 vorm. schrieb "Wang Dawei" <weeo...@gmail.com>:

Hi:

Hope all is well. 

I'm comparing the result of my algorithm with yours on your website.

I wonder what script do you use to split your movielens 100k dataset? on your website: http://mymedialite.net/examples/datasets.html you are saying you split your mk100k with --random-seed=1, is that the same splitting file you provided here named crossvalidation.pl? https://github.com/zenogantner/MyMediaLite/tree/master/scripts 

if so.. What is the random seed when you split the ml-1m? You didn't specify that on your web. Are you using the same crossvalidation.pl to split ml100k and ml1m with random seed=1? Or are you using the already splited files that comes with the mk100k?

Thank you in advance.

Best,

D

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