Added support for nn (single layer) in sklearn interface #5
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looks good, thanks vivek |
josephreisinger
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Sep 16, 2013
Added support for nn (single layer) in sklearn interface
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Adding support for nn to be called from the wrapper.
[DEBUG] Running command: "vw --learning_rate=5.000000 --l2=0.000010 --oaa=10 --nn=4 --passes 10 --cache_file /home/vvkulkarni/vowpal_porpoise/examples/example_sklearn.cache -f /home/vvkulkarni/vowpal_porpoise/examples/example_sklearn.model"
[DEBUG] Running command: "vw --learning_rate=5.000000 --l2=0.000010 --oaa=10 --nn=4 -t -i /home/vvkulkarni/vowpal_porpoise/examples/example_sklearn.model -p /home/vvkulkarni/vowpal_porpoise/examples/example_sklearn.predictionecqcFA"
Confusion Matrix:
[[34 0 0 0 1 0 0 0 0 0]
[ 0 29 0 0 0 0 0 0 0 7]
[ 0 0 35 0 0 0 0 0 0 0]
[ 0 0 0 24 0 4 0 3 6 0]
[ 0 0 0 0 34 0 0 0 3 0]
[ 0 0 0 0 0 37 0 0 0 0]
[ 0 0 0 0 0 0 37 0 0 0]
[ 0 0 0 1 0 0 0 32 2 1]
[ 0 1 0 0 0 1 0 1 30 0]
[ 0 0 0 0 0 2 0 1 3 31]]
0.89717036724
Adding @aboSamoor (as he is interested in this CL too)