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coursera-ml-007-exercises/ex2
2014-11-06 01:19:29 +01:00
..
costFunction.m Compute the gradient for logistic regression 2014-10-14 07:46:10 +02:00
costFunctionReg.m Simplify regularization term 2014-10-16 01:03:58 +02:00
ex2.m Initial commit of ex2 2014-10-13 22:56:53 +02:00
ex2_reg.m Initial commit of ex2 2014-10-13 22:56:53 +02:00
ex2data1.txt Initial commit of ex2 2014-10-13 22:56:53 +02:00
ex2data2.txt Initial commit of ex2 2014-10-13 22:56:53 +02:00
mapFeature.m Initial commit of ex2 2014-10-13 22:56:53 +02:00
plotData.m Plot negative samples in red 2014-10-14 10:19:09 +02:00
plotDecisionBoundary.m Initial commit of ex2 2014-10-13 22:56:53 +02:00
predict.m Predict 2014-10-14 10:14:29 +02:00
sigmoid.m Compute the sigmoid function 2014-10-13 23:14:44 +02:00
submit.m Initial commit of ex2 2014-10-13 22:56:53 +02:00
submitWeb.m Initial commit of ex2 2014-10-13 22:56:53 +02:00