minibatchkmeans deprecation warning?
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
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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Hi Andy, WARN sklearn/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 Sent: Wednesday, August 2, 2017 12:09 PM To: Chris Carrion via scikit-learn 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 _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
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:t3kcit@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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That’s great to hear, thanks! Chris From: Andreas Mueller Sent: Wednesday, August 2, 2017 12:34 PM To: Chris Carrion via scikit-learn 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, WARN sklearn/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 Sent: Wednesday, August 2, 2017 12:09 PM To: Chris Carrion via scikit-learn 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 _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Before I forget, is there an ETA for .19, or an average time between upgrades? From: Andreas Mueller Sent: Wednesday, August 2, 2017 12:34 PM To: Chris Carrion via scikit-learn 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, WARN sklearn/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 Sent: Wednesday, August 2, 2017 12:09 PM To: Chris Carrion via scikit-learn 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 _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
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:t3kcit@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:t3kcit@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
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org <mailto:scikit-learn@python.org>
https://mail.python.org/mailman/listinfo/scikit-learn
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org <mailto:scikit-learn@python.org>
https://mail.python.org/mailman/listinfo/scikit-learn
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