On Fri, Jan 18, 2013 at 3:25 AM, Lie Ryan <lie.1...@gmail.com> wrote: > On 18/01/13 17:11, Gayathri S wrote: >> >> >>> import numpy as np >> >>> import matplotlib.pyplot as plt >> >>> import mlpy >> >>> np.random.seed(0) >> >>> mean,cov,n=[0,0],[[1,1],[1,1.5]],100 >> >>> x=np.random.multivariate_normal(mean,cov,n) >> >>> pca.learn(x) >> Traceback (most recent call last): >> File "<interactive input>", line 1, in <module> >> NameError: name 'pca' is not defined > > As in your particular problem, the basic issue is that you have not defined > 'pca' to refer to any object. You need to create an object named pca, which > in this particular case the object is probably an instance of mlpy.PCA, > which can be constructed like this: > > pca = mlpy.PCA()
Yes, it's a mistake in the PCA example from the docs: http://mlpy.sourceforge.net/docs/3.5/dim_red.html#principal-component-analysis-pca _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: http://mail.python.org/mailman/listinfo/tutor
