MLcomp version alpha Statistics: 2051 users, 665 datasets, 389 programs, 18920 runs (0 queued, 4 running), 0 workers

Run 14685

Creator	internal
Program	GaussianProcesses_weka_numeric
Dataset	neut_0.raw
Task type	Regression
Created	1y316d ago

Status: Failed!

Note: this page autoupdates while a run is in progress

Reason	On ./run predict <in> <out>, your program (../program1) did not write to <out>.
Total Time	1m7s
Max Memory Usage	30M
Domain	Regression
Learn time
Train MSE
Predict train time
Test MSE
Predict test time

Log file

Note: Some input files use unchecked or unsafe operations.
Note: Recompile with -Xlint:unchecked for details.
Regression
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
	at weka.core.converters.SVMLightLoader.svmlightToArray(SVMLightLoader.java:224)
	at weka.core.converters.SVMLightLoader.getStructure(SVMLightLoader.java:344)
	at weka.core.converters.SVMLightLoader.getDataSet(SVMLightLoader.java:410)
	at MainScript.loadData(MainScript.java:84)
	at MainScript.main(MainScript.java:22)
Regression
=== END program1: ./run learn ../dataset2/train --- OK [5s]

===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [2s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
java.io.FileNotFoundException: model_file (No such file or directory)
	at java.io.FileInputStream.open(Native Method)
	at java.io.FileInputStream.<init>(FileInputStream.java:137)
	at java.io.FileInputStream.<init>(FileInputStream.java:96)
	at weka.core.SerializationHelper.read(SerializationHelper.java:232)
	at MainScript.main(MainScript.java:47)
Regression
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
Failed: On ./run predict <in> <out>, your program (../program1) did not write to <out>.

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) GaussianProcesses_weka_numeric: This programs is part of the WEKA classifier library. The code used to generate this program is from the java class 'weka/classifiers/functions/GaussianProcesses.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:
    
    ---------------------
    Implements Gaussian Processes for regression without hyperparameter-tuning. For more information see David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
    ---------------------
    
    NOTE: This algorithm has no parameter tuning, it is using the default WEKA parameters
    
    
  • (dataset:Dataset) neut_0.raw: Task: text sentiment analysis. Features: text term/freq counts, along with other real-valued features. Labels: real-valued sentiment score.
  • (stripper:Program[Strip]) regression-utils: Validates and inspects a dataset in Regression format.
  • (evaluator:Program[Evaluate]) regression-evaluator: Evaluates predictions of Regression datasets (continuous outputs).

Results

• doTrain:
  • predict:
    • success: true
    • time: 0
  • strip:
    • success: true
    • time: 2
• exitCode: 1
• learn:
  • success: true
  • time: 5
• message: On ./run predict , your program (../program1) did not write to .
• success: false

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