n != 0, :2]
>> y = y_in[y_in != 0]
I fixed that point to 150 samples each.
>> n_sample = len(X)
>
> Don't do that on a sparse matrix. Either do:
>
> n_samples = X.shape(0)
>
> or
>
> X = X.toarray()
> n_samples = len(X)
Now it h
l size of new array must
be unchanged"error
pl.pcolormesh(XX, YY, Z > 0, cmap=pl.cm.Paired)
pl.contour(XX, YY, Z, colors=['k', 'k', 'k'],
linestyles=['--', '-', '--'],
levels=[-.5, 0, .5])
pl.title(kern
svmlight_load.
Thanks,
Hakan
On Fri, 12 Jul 2013 17:00:58 +0200
Andreas Mueller wrote:
> Hi.
> If you just want the iris dataset, you can get it using
> "datasets.load_iris()" (and scale it with
>StandardScaler).
> The problem in your code is that load_svmlight_file
>ret
e 5817, in scatter
colors = mcolors.colorConverter.to_rgba_array(c,
alpha)
File
"/usr/lib/pymodules/python2.7/matplotlib/colors.py", line
380, in to_rgba_array
raise ValueError("Color array must be
two-dimensional")
ValueError: Color array must be two-dimensional
Z.reshape(XX.shape)
pl.pcolormesh(XX, YY, Z > 0, cmap=pl.cm.Paired)
pl.contour(XX, YY, Z, colors=['k', 'k', 'k'],
linestyles=['--', '-', '--'],
levels=[-.5, 0, .5])
pl.title(kernel)
pl.show()
Many thanks,
