MLcomp - Viewing Run 26585

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Run 26585

Creator	internal
Program	svmlight-linear
Dataset	webdata
Task type	BinaryClassification
Created	318d23h ago

Status: Failed!

Note: this page autoupdates while a run is in progress

Reason	(see end of log file)
Total Time
Max Memory Usage
Domain	MulticlassClassification
Learn time	1m23s
Train error
Predict train time
Test error
Predict test time

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset7/train
./run:31:in `+': failed to allocate memory (NoMemoryError)
	from ./run:31
	from ./run:31:in `map'
	from ./run:31
	from ./run:25:in `each'
	from ./run:25
===== One versus all: training label y=1 versus the rest =====
=== END program1: ./run learn ../dataset7/train --- FAILED [83s]

Run specification

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Frequently Asked Questions

How much time, memory, disk space can my program use in a run?

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.
On what environment are runs executed?

All runs are executed on Amazon's EC2 cloud-computing infrastructure on a standard Linux distribution. More information here.
My run is failing. How do I debug it?

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).
Ok, what is a run, really?

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.