def run_P08684():
X = readX("/home/jaak/Dropbox/two/chemogen/P08684/P08684.1000.compounds.txt")
Y = readY("/home/jaak/Dropbox/two/chemogen/P08684/P08684.1000.train")
ids = Y.keys()
Ytrain = [Y[i] for i in ids]
Xtrain = [X[i] for i in ids]
lp = LinearPegasos(1.0, 100000)
lp.fit(Xtrain, Ytrain)
## predict
Yhat = lp.decisionValues(Xtrain)
return ids, Yhat
def run():
Xtrain = generateX(4000)
#w = generateW()
w = generateW2()
Ytrain = generateY(Xtrain, w)
lp = LinearPegasos(1.0, 100000)
lp.fit(Xtrain, Ytrain)
## predict
Xtest = generateX(1000)
Ytest = generateY(Xtest, w)
Yhat = lp.predict(Xtest)
acc = 0
for i in range(len(Ytest)):
if Ytest[i] == Yhat[i]:
acc += 1
acc = acc / float(len(Ytest))
print("Accuracy: %.3f" % acc)
