Created
September 27, 2011 15:10
-
-
Save zenogantner/1245315 to your computer and use it in GitHub Desktop.
Perl 6 / MyMediaLite example script
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# load assembly | |
CLR::System::Reflection::Assembly.LoadFrom("../../src/MyMediaLite/bin/Debug/MyMediaLite.dll"); | |
# get types from assembly | |
#constant EntityMapping = CLR::("MyMediaLite.Data.EntityMapping,MyMediaLite"); | |
#constant RatingData = CLR::("MyMediaLite.IO.RatingData,MyMediaLite"); | |
#constant MatrixFactorization = CLR::("MyMediaLite.RatingPrediction.MatrixFactorization,MyMediaLite"); | |
#constant EvalRatings = CLR::("MyMediaLite.Eval.Ratings,MyMediaLite"); | |
# load the data | |
my $user_mapping = CLR::("MyMediaLite.Data.EntityMapping,MyMediaLite").new; | |
my $item_mapping = CLR::("MyMediaLite.Data.EntityMapping,MyMediaLite").new; | |
my $train_data = CLR::("MyMediaLite.IO.RatingData,MyMediaLite").Read("../../data/ml100k/u1.base", $user_mapping, $item_mapping); | |
#my $test_data = CLR::("MyMediaLite.IO.RatingData,MyMediaLite").Read("../../data/ml100k/u1.test", $user_mapping, $item_mapping); | |
# set up the recommender | |
#my $recommender = MatrixFactorization.new; | |
#$recommender.Ratings = $train_data; | |
#$recommender.Train(); | |
# measure the accuracy on the test data set | |
#print EvalRatings.Evaluate($recommender, $test_data); | |
# make a prediction for a certain user and item | |
#print $recommender.Predict($user_mapping.ToInternalID(1), $item_mapping.ToInternalID(1)); |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment