MLcomp version alpha Statistics: 1407 users, 462 datasets, 360 programs, 16683 runs (0 queued, 1 running), 10 workers

Run 7899

Creator	internal
Program	MultilayerPerceptron_weka_nominal
Dataset	SleepdataMulti
Task type	MulticlassClassification
Created	31d15h 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	1s
Max Memory Usage	416M
Domain	MulticlassClassification
Learn time	0s
Train error
Predict train time	0s
Test error
Predict test time

Log file

./run:3: warning: parenthesize argument(s) for future version
Note: Some input files use unchecked or unsafe operations.
Note: Recompile with -Xlint:unchecked for details.
MulticlassClassification
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
./run:3: warning: parenthesize argument(s) for future version
./svmlight2arff.rb:2:in `max': undefined method `<=>' for nil:NilClass (NoMethodError)
	from ./svmlight2arff.rb:30:in `each'
	from ./svmlight2arff.rb:30:in `max'
	from ./svmlight2arff.rb:30
java.io.IOException: No source has been specified
	at weka.core.converters.ArffLoader.getDataSet(ArffLoader.java:1000)
	at MainScript.loadData(MainScript.java:83)
	at MainScript.main(MainScript.java:22)
MulticlassClassification
=== END program1: ./run learn ../dataset2/train --- OK [0s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
./run:3: warning: parenthesize argument(s) for future version
./svmlight2arff.rb:2:in `max': undefined method `<=>' for nil:NilClass (NoMethodError)
	from ./svmlight2arff.rb:30:in `each'
	from ./svmlight2arff.rb:30:in `max'
	from ./svmlight2arff.rb:30
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)
MulticlassClassification
=== 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) MultilayerPerceptron_weka_nominal: This programs is part of the WEKA classifier library. The code used to generate this program is from the java class 'weka/classifiers/functions/MultilayerPerceptron.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:
    
    ---------------------
    A Classifier that uses backpropagation to classify instances. This network can be built by hand, created by an algorithm or both. The network can also be monitored and modified during training time. The nodes in this network are all sigmoid (except for when the class is numeric in which case the the output nodes become unthresholded linear units).
    ---------------------
    
    NOTE: This algorithm has no parameter tuning, it is using the default WEKA parameters
    
    NOTE: WEKA's Classifiers read a data in the .arff format. For Multiclass datasets, the SVMlight format converted to .arff multiclass format so they can be read by WEKA programs
  • (dataset:Dataset) SleepdataMulti:
  • (stripper:Program[Strip]) multiclass-utils: Validates and inspects a dataset in MulticlassClassification format.
  • (evaluator:Program[Evaluate]) classification-evaluator: Evaluates predictions of classification datasets (discrete outputs).

Results

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

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