 | Run 26615 |
| Creator | internal |
| Program | mira-python-normalize-sparse |
| Dataset | multiclass-sample |
| Task type | MulticlassClassification |
| Created | 324d18h ago |
| Download | Login required! |
Done! 
| MulticlassClassification | |
| 0s | |
| 0 | |
| 1s | |
| 0.500 | |
| 0s |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train iteration 0: 5 examples, avg loss=0.400000 iteration 1: 5 examples, avg loss=0.000000 iteration 2: 5 examples, avg loss=0.000000 iteration 3: 5 examples, avg loss=0.000000 iteration 4: 5 examples, avg loss=0.000000 iteration 5: 5 examples, avg loss=0.000000 iteration 6: 5 examples, avg loss=0.000000 iteration 7: 5 examples, avg loss=0.000000 iteration 8: 5 examples, avg loss=0.000000 iteration 9: 5 examples, avg loss=0.000000 === 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 0.75 === 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 0.0 === 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 0m1.700s user 0m0.632s sys 0m0.348s
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