The docs say 3 month, I think. Though it's been more like 8.
0.19 will come out in August.
On 08/02/2017 12:48 PM, Chris Carrion via scikit-learn wrote:
Before I forget, is there an ETA for .19, or an average time between
upgrades?
*From: *Andreas Mueller <mailto:t3k...@gmail.com>
*Sent: *Wednesday, August 2, 2017 12:34 PM
*To: *Chris Carrion via scikit-learn <mailto:scikit-learn@python.org>
*Subject: *Re: [scikit-learn] minibatchkmeans deprecation warning?
Ah.
That's actually a deprecation warning coming from numpy, and it think
it'll be removed in 0.19 (if not already in 0.18.1).
It's really nothing to worry about, though.
Andy
On 08/02/2017 12:10 PM, Chris Carrion via scikit-learn wrote:
Hi Andy,
WARNsklearn/cluster/k_means_.py:1301: DeprecationWarning: This
function is deprecated. Please call randint(0, 179 + 1) instead
That’s all I’m given
*From: *Andreas Mueller <mailto:t3k...@gmail.com>
*Sent: *Wednesday, August 2, 2017 12:09 PM
*To: *Chris Carrion via scikit-learn <mailto:scikit-learn@python.org>
*Subject: *Re: [scikit-learn] minibatchkmeans deprecation warning?
Hi Chris.
What is the warning?
Andy
On 08/02/2017 11:36 AM, Chris Carrion via scikit-learn wrote:
Hi,
I’m working in an environment provided by Quantopian, an
algorithmic-traders hub for research. I imported the minibatch
kmeans from sklearn.clusters in the environment they provided,
but I’m getting a deprecation warning. After reaching out to
Quantopian support, they claim it’s something with the way
sklearn is coded, and nothing can be done on their end. I was
wondering whether this was true or not.
Curious,
Chris
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