<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<meta name="Generator" content="Microsoft Word 12 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:宋体;
panose-1:2 1 6 0 3 1 1 1 1 1;}
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
{font-family:"\@宋体";
panose-1:2 1 6 0 3 1 1 1 1 1;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:12.0pt;
font-family:宋体;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-reply;
font-family:"Calibri","sans-serif";
color:#1F497D;}
.MsoChpDefault
{mso-style-type:export-only;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:72.0pt 90.0pt 72.0pt 90.0pt;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang="ZH-CN" link="blue" vlink="purple">
<div class="WordSection1">
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D">Yes</span><span style="font-size:10.5pt;color:#1F497D">，</span><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D">you
are right @</span><span lang="EN-US" style="font-size:10.0pt"> Raghav R V, thx!<br>
<br>
</span><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D">However, i found the key param is ‘hidden_layer_sizes=[2]’, I wonder if I misunderstand the meaning of parameter of hidden_layer_sizes?<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D">Is it related to the topic :
<a href="http://stackoverflow.com/questions/36819287/mlp-classifier-of-scikit-neuralnetwork-not-working-for-xor">
http://stackoverflow.com/questions/36819287/mlp-classifier-of-scikit-neuralnetwork-not-working-for-xor</a><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.5pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<div style="border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm 0cm 0cm">
<p class="MsoNormal"><b><span style="font-size:10.0pt">发件人<span lang="EN-US">:</span></span></b><span lang="EN-US" style="font-size:10.0pt"> scikit-learn [mailto:scikit-learn-bounces+linjia=ruijie.com.cn@python.org]
</span><b><span style="font-size:10.0pt">代表 </span></b><span lang="EN-US" style="font-size:10.0pt">Raghav R V<br>
</span><b><span style="font-size:10.0pt">发送时间<span lang="EN-US">:</span></span></b><span lang="EN-US" style="font-size:10.0pt"> 2016</span><span style="font-size:10.0pt">年<span lang="EN-US">11</span>月<span lang="EN-US">23</span>日<span lang="EN-US"> 19:04<br>
</span><b>收件人<span lang="EN-US">:</span></b><span lang="EN-US"> Scikit-learn user and developer mailing list<br>
</span><b>主题<span lang="EN-US">:</span></b><span lang="EN-US"> Re: [scikit-learn] question about using sklearn.neural_network.MLPClassifier</span>？<span lang="EN-US"><o:p></o:p></span></span></p>
</div>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<div>
<p class="MsoNormal"><span lang="EN-US">Hi,<o:p></o:p></span></p>
<div>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">If you keep everything at their default values, it seems to work -<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">```py<o:p></o:p></span></p>
</div>
<div>
<div>
<p class="MsoNormal"><span lang="EN-US">from sklearn.neural_network import MLPClassifier<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">X = [[0, 0], [0, 1], [1, 0], [1, 1]]<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">y = [0, 1, 1, 0]<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">clf = MLPClassifier(max_iter=1000)<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">clf.fit(X, y) <o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">res = clf.predict([[0, 0], [0, 1], [1, 0], [1, 1]])<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US">print(res)<o:p></o:p></span></p>
</div>
</div>
<div>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span lang="EN-US">```<o:p></o:p></span></p>
</div>
<div>
<div>
<p class="MsoNormal"><span lang="EN-US">On Wed, Nov 23, 2016 at 10:27 AM, <<a href="mailto:linjia@ruijie.com.cn" target="_blank">linjia@ruijie.com.cn</a>> wrote:<o:p></o:p></span></p>
<div>
<div>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">Hi everyone<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> I try to use sklearn.neural_network.MLPClassifier to test the XOR operation, but I found the result is not satisfied. The following is code, can you tell
me if I use the lib incorrectly?<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">from sklearn.neural_network import MLPClassifier<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">X = [[0, 0], [0, 1], [1, 0], [1, 1]]<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">y = [0, 1, 1, 0]<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">clf = MLPClassifier(solver='adam', activation='logistic', alpha=1e-3, hidden_layer_sizes=(2,), max_iter=1000)<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">clf.fit(X, y)
<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">res = clf.predict([[0, 0], [0, 1], [1, 0], [1, 1]])<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">print(res)<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">#result is [0 0 0 0], score is 0.5<o:p></o:p></span></p>
</div>
</div>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span lang="EN-US"><br>
_______________________________________________<br>
scikit-learn mailing list<br>
<a href="mailto:scikit-learn@python.org" target="_blank">scikit-learn@python.org</a><br>
<a href="https://mail.python.org/mailman/listinfo/scikit-learn" target="_blank">https://mail.python.org/mailman/listinfo/scikit-learn</a><o:p></o:p></span></p>
</div>
<p class="MsoNormal"><span lang="EN-US"><br>
<br clear="all">
<o:p></o:p></span></p>
<div>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
</div>
<p class="MsoNormal"><span lang="EN-US">-- <o:p></o:p></span></p>
<div>
<div>
<div>
<p class="MsoNormal"><span lang="EN-US">Raghav RV<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US"><a href="https://github.com/raghavrv" target="_blank"><span style="color:#1155CC">https://github.com/raghavrv</span></a><o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>