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Betreff: Re: [Scikit-learn-general] tSNE assertion errors
Can you please report this on the issue tracker? Thanks!
On 04/18/2016 09:28 AM, leg...@web.de wrote:
Thanks for your response Alexander! Here is a simplified version of my script
applied to the MNIST data set. It wasn'
il 2016 um 14:44 Uhr
*Von:* "Alexander Fabisch"
*An:* scikit-learn-general@lists.sourceforge.net
*Betreff:* Re: [Scikit-learn-general] tSNE assertion errors
Hi Sarah,
t-SNE does not support incremental training. Your model will be
retrained every time you fit a new batch of data (see
h
verbose=0).fit_transform(data)
# continue with scatter plot visualization...
plt.scatter(tsne[:,0], tsne[:,1], c=labels)
plt.show()
Gesendet: Montag, 18. April 2016 um 14:44 Uhr
Von: "Alexander Fabisch"
An: scikit-learn-general@lists.sourceforge.net
Hi Sarah,
t-SNE does not support incremental training. Your model will be
retrained every time you fit a new batch of data (see
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/manifold/t_sne.py#L664).
That means you might have found a dataset that reveals an error in
implemen