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--></style></head><body lang=EN-US link=blue vlink="#954F72"><div class=WordSection1><p class=MsoNormal>That’s great to hear, thanks!</p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Chris</p><p class=MsoNormal><o:p> </o:p></p><div style='mso-element:para-border-div;border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal style='border:none;padding:0in'><b>From: </b><a href="mailto:t3kcit@gmail.com">Andreas Mueller</a><br><b>Sent: </b>Wednesday, August 2, 2017 12:34 PM<br><b>To: </b><a href="mailto:scikit-learn@python.org">Chris Carrion via scikit-learn</a><br><b>Subject: </b>Re: [scikit-learn] minibatchkmeans deprecation warning?</p></div><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal style='margin-bottom:12.0pt'><span style='color:black'>Ah.<br>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).<br>It's really nothing to worry about, though.<br><br>Andy<br><br><o:p></o:p></span></p><div><p class=MsoNormal><span style='color:black'>On 08/02/2017 12:10 PM, Chris Carrion via scikit-learn wrote:<o:p></o:p></span></p></div><blockquote style='margin-top:5.0pt;margin-bottom:5.0pt'><p class=MsoNormal><span style='color:black'>Hi Andy,<o:p></o:p></span></p><p class=MsoNormal><span class=level><span style='font-size:7.5pt;color:black'>WARN</span></span><span style='font-size:7.5pt;color:black'> </span><span class=logmsg><span style='font-size:7.5pt;color:#DDDDDD;background:#222222'>sklearn/cluster/k_means_.py:1301: DeprecationWarning: This function is deprecated. Please call randint(0, 179 + 1) instead</span></span><span style='color:black'><o:p></o:p></span></p><p class=MsoNormal><span style='color:black'> <o:p></o:p></span></p><p class=MsoNormal><span style='color:black'>That’s all I’m given<o:p></o:p></span></p><div style='border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b><span style='color:black'>From: </span></b><span style='color:black'><a href="mailto:t3kcit@gmail.com">Andreas Mueller</a><br><b>Sent: </b>Wednesday, August 2, 2017 12:09 PM<br><b>To: </b><a href="mailto:scikit-learn@python.org">Chris Carrion via scikit-learn</a><br><b>Subject: </b>Re: [scikit-learn] minibatchkmeans deprecation warning?<o:p></o:p></span></p></div><p class=MsoNormal><span style='color:black'> <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span style='color:black'>Hi Chris.<br><br>What is the warning?<br><br>Andy<o:p></o:p></span></p><div><p class=MsoNormal><span style='color:black'>On 08/02/2017 11:36 AM, Chris Carrion via scikit-learn wrote:<o:p></o:p></span></p></div><blockquote style='margin-top:5.0pt;margin-bottom:5.0pt'><p class=MsoNormal><span style='color:black'>Hi,<o:p></o:p></span></p><p class=MsoNormal><span style='color:black'> <o:p></o:p></span></p><p class=MsoNormal><span style='color:black'>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.<o:p></o:p></span></p><p class=MsoNormal><span style='color:black'> <o:p></o:p></span></p><p class=MsoNormal><span style='color:black'>Curious,<o:p></o:p></span></p><p class=MsoNormal><span style='color:black'>Chris<o:p></o:p></span></p><p class=MsoNormal><span style='color:black'><br><br><br><br><o:p></o:p></span></p><pre>_______________________________________________</pre><pre>scikit-learn mailing list</pre><pre><a href="mailto:scikit-learn@python.org">scikit-learn@python.org</a></pre><pre><a href="https://mail.python.org/mailman/listinfo/scikit-learn">https://mail.python.org/mailman/listinfo/scikit-learn</a></pre></blockquote><p class=MsoNormal><span style='color:black'> <o:p></o:p></span></p><p class=MsoNormal><span style='color:black'> <o:p></o:p></span></p><p class=MsoNormal><span style='color:black'><br><br><br><o:p></o:p></span></p><pre>_______________________________________________</pre><pre>scikit-learn mailing list</pre><pre><a href="mailto:scikit-learn@python.org">scikit-learn@python.org</a></pre><pre><a href="https://mail.python.org/mailman/listinfo/scikit-learn">https://mail.python.org/mailman/listinfo/scikit-learn</a></pre></blockquote><p class=MsoNormal><span style='color:black'><o:p> </o:p></span></p><p class=MsoNormal><span style='color:black'><o:p> </o:p></span></p></div></body></html>