=== Starting: cd /home/mlcomp/worker1/scratch/program0/../program2 && ./run inspect '/home/mlcomp/worker1/scratch/program0/../dataset1/train'
=== Finished: cd /home/mlcomp/worker1/scratch/program0/../program2 && ./run inspect '/home/mlcomp/worker1/scratch/program0/../dataset1/train' --- OK [4s]
=== Starting: cd /home/mlcomp/worker1/scratch/program0/../program2 && ./run inspect '/home/mlcomp/worker1/scratch/program0/../dataset1/test'
=== Finished: cd /home/mlcomp/worker1/scratch/program0/../program2 && ./run inspect '/home/mlcomp/worker1/scratch/program0/../dataset1/test' --- OK [1s]
real 0m5.680s
user 0m3.720s
sys 0m0.384s
Run specification
supervised-learning-processor: Main entry point for validating and inspecting a dataset for supervised learning datasets.
(Dataset) movielens1m: 1M MovieLens movie ratings dataset from http://www.grouplens.org/.
The original dataset contains 1,000,209 anonymous ratings (1-5 stars) of approximately 3,900 movies made by 6,040 MovieLens users who joined MovieLens in 2000.
This sub-dataset includes the ratings of 5,000 randomly selected users. A single rating from each user was withheld to form the test set.
See included README.txt for more information.
(Program[Inspect]) collaborativefiltering-utils: Validates, inspects, and evaluates a dataset in CollaborativeFiltering format.
(Program[Split]) collaborativefiltering-utils: Validates, inspects, and evaluates a dataset in CollaborativeFiltering format.
When you generate a run, you can set a time limit for the run (no more than 24 hours). After that point, we will terminate the program.
Your program can use 1.5GB of memory. More information here.
Go to the page for the run and look at the log file for signs of the responsible error.
You can also download the run and run it locally on your machine (a README file should
be included in the download which provides more information).
We said that a run was simply a program/dataset pair, but that's not the full story.
A run actually includes other helper programs such as the evaluation program and
various programs for reductions (e.g., one-versus-all, hyperparameter tuning).
More formally, a run is a given by a run specification,
which can be found on the page for any run.
A run specification is a tree where each internal node represents a program
and its children represents the arguments to be passed into its constructor.
For example, the one-versus-all program takes your binary classification program
as a constructor argument and behaves like a multiclass classification program.
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