Python WindowMLP.compute_loss示例

示例#1

文件： collectSubmission.py 项目： SherwinKP/algorithm

def ner_predict_proba():
    from nerwindow import WindowMLP
    np.random.seed(10)
    wv = np.random.randn(20, 10)
    clf = WindowMLP(wv, windowsize=3, dims=[None, 15, 3], rseed=10)
    J = clf.compute_loss([1, 2, 3], 1)
    print "  dummy: J = %g" % J
    J = clf.compute_loss([[1, 2, 3], [2, 3, 4]], [0, 1])
    print "  dummy: J = %g" % J

示例#2

文件： collectSubmission.py 项目： NoamGit/cs224d-solutions

def ner_predict_proba():
    from nerwindow import WindowMLP
    np.random.seed(10)
    wv = np.random.randn(20,10)
    clf = WindowMLP(wv, windowsize=3,
                    dims = [None, 15, 3], rseed=10)
    J = clf.compute_loss([1,2,3], 1)
    print "  dummy: J = %g" % J
    J = clf.compute_loss([[1,2,3], [2,3,4]], [0,1])
    print "  dummy: J = %g" % J