 | Run 7262 |
| Creator | mdunham |
| Program | PMTK DiscrimAnalysis |
| Dataset | multiclass-sample |
| Task type | MulticlassClassification |
| Created | 1y122d ago |
| Download | Login required! |
Done! 
| 1s | |
| 75M | |
| MulticlassClassification | |
| 0.750 | |
| 0.500 | |
Log file
construct is not a supported option===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train warning: division by zero === 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 warning: matrix singular to machine precision, rcond = 0 warning: attempting to find minimum norm solution warning: dgelsd: rank deficient 3x3 matrix, rank = 0 warning: Matrix is not positive definite warning: matrix singular to machine precision, rcond = 0 warning: attempting to find minimum norm solution warning: dgelsd: rank deficient 3x3 matrix, rank = 1 warning: Matrix is not positive definite === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [1s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [0s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out warning: matrix singular to machine precision, rcond = 0 warning: attempting to find minimum norm solution warning: dgelsd: rank deficient 3x3 matrix, rank = 0 warning: Matrix is not positive definite warning: matrix singular to machine precision, rcond = 0 warning: attempting to find minimum norm solution warning: dgelsd: rank deficient 3x3 matrix, rank = 1 warning: Matrix is not positive definite === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s] real 0m1.367s user 0m0.924s sys 0m0.200s
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