pdC89u - Online Python Interpreter & Debugging Tool

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height: 14px;" alt="loading..."/> </span> <div class="pull-right"> <input type="hidden" value="import numpy as np from sklearn.linear_model import LinearRegression x=np.array([[1],[2],[3],[4],[5]]) y=np.array([2,4,5,7,8]) model=LinearRegression() model.fit(x,y) x_test=np.array([[6],[7],[8]]) y_pred=model.predict(x_test) print("Coefficient:",model.coef_) print("Intercept:",model.intercept_) print("Prediction",y_pred) " class="code-to-copy" /> <span class="inline_info"><a id="view_copy" class="clipboard-copy-hidden-input" data-copy-from=".code-to-copy" style="cursor: pointer;"><i class="icon-docs"></i> copy</a></span> </div> </legend> <legend class="submenu2 hidden"> </legend>  <pre class="source" id="source" style="margin-bottom: 0px"><style type='text/css'></style><pre class="python"><ol><li class="li1"><div class="de1"><span class="kw1">import</span> numpy <span class="kw1">as</span> np</div></li><li class="li1"><div class="de1"><span class="kw1">from</span> sklearn.<span class="me1">linear_model</span> <span class="kw1">import</span> LinearRegression</div></li><li class="li1"><div class="de1"> </div></li><li class="li1"><div class="de1">x<span class="sy0">=</span>np.<span class="kw3">array</span><span class="br0">(</span><span class="br0">[</span><span class="br0">[</span><span class="nu0">1</span><span class="br0">]</span><span class="sy0">,</span><span class="br0">[</span><span class="nu0">2</span><span class="br0">]</span><span class="sy0">,</span><span class="br0">[</span><span class="nu0">3</span><span class="br0">]</span><span class="sy0">,</span><span class="br0">[</span><span class="nu0">4</span><span class="br0">]</span><span class="sy0">,</span><span class="br0">[</span><span class="nu0">5</span><span class="br0">]</span><span class="br0">]</span><span class="br0">)</span></div></li><li class="li1"><div class="de1">y<span class="sy0">=</span>np.<span class="kw3">array</span><span class="br0">(</span><span class="br0">[</span><span class="nu0">2</span><span class="sy0">,</span><span class="nu0">4</span><span class="sy0">,</span><span class="nu0">5</span><span class="sy0">,</span><span class="nu0">7</span><span class="sy0">,</span><span class="nu0">8</span><span class="br0">]</span><span class="br0">)</span></div></li><li class="li1"><div class="de1"> </div></li><li class="li1"><div class="de1">model<span class="sy0">=</span>LinearRegression<span class="br0">(</span><span class="br0">)</span></div></li><li class="li1"><div class="de1">model.<span class="me1">fit</span><span class="br0">(</span>x<span class="sy0">,</span>y<span class="br0">)</span></div></li><li class="li1"><div class="de1"> </div></li><li class="li1"><div class="de1">x_test<span class="sy0">=</span>np.<span class="kw3">array</span><span class="br0">(</span><span class="br0">[</span><span class="br0">[</span><span class="nu0">6</span><span class="br0">]</span><span class="sy0">,</span><span class="br0">[</span><span class="nu0">7</span><span class="br0">]</span><span class="sy0">,</span><span class="br0">[</span><span class="nu0">8</span><span class="br0">]</span><span class="br0">]</span><span class="br0">)</span></div></li><li class="li1"><div class="de1">y_pred<span class="sy0">=</span>model.<span class="me1">predict</span><span class="br0">(</span>x_test<span class="br0">)</span></div></li><li class="li1"><div class="de1"> </div></li><li class="li1"><div class="de1"><span class="kw1">print</span><span class="br0">(</span><span class="st0">"Coefficient:"</span><span class="sy0">,</span>model.<span class="me1">coef_</span><span class="br0">)</span></div></li><li class="li1"><div class="de1"><span class="kw1">print</span><span class="br0">(</span><span class="st0">"Intercept:"</span><span class="sy0">,</span>model.<span class="me1">intercept_</span><span class="br0">)</span></div></li><li class="li1"><div class="de1"><span class="kw1">print</span><span class="br0">(</span><span class="st0">"Prediction"</span><span class="sy0">,</span>y_pred<span class="br0">)</span></div></li><li class="li1"><div class="de1"> </div></li></ol></pre></pre> <div id="source-text" class="hidden">aW1wb3J0IG51bXB5IGFzIG5wCmZyb20gc2tsZWFybi5saW5lYXJfbW9kZWwgaW1wb3J0IExpbmVhclJlZ3Jlc3Npb24KCng9bnAuYXJyYXkoW1sxXSxbMl0sWzNdLFs0XSxbNV1dKQp5PW5wLmFycmF5KFsyLDQsNSw3LDhdKQoKbW9kZWw9TGluZWFyUmVncmVzc2lvbigpCm1vZGVsLmZpdCh4LHkpCgp4X3Rlc3Q9bnAuYXJyYXkoW1s2XSxbN10sWzhdXSkKeV9wcmVkPW1vZGVsLnByZWRpY3QoeF90ZXN0KQoKcHJpbnQoIkNvZWZmaWNpZW50OiIsbW9kZWwuY29lZl8pCnByaW50KCJJbnRlcmNlcHQ6Iixtb2RlbC5pbnRlcmNlcHRfKQpwcmludCgiUHJlZGljdGlvbiIseV9wcmVkKQo=</div> <input type="hidden" name="p1" id="p1" value="a4785a036202b0b3abd09f1c75d1957e"/> <input type="hidden" name="p2" id="p2" value="9"/> <input type="hidden" name="p3" id="p3" value="19"/> <input type="hidden" name="p4" id="p4" value=""/> </div>  <div id="view_status" class="view_box" style="background: #f8f8f8; padding: 3px 5px;"> <span> <span class="info green" title="Success">Success</span> <a href="#stdin">#stdin</a> <a href="#stdout">#stdout</a> 0.4s 64644KB </span> <div class="pull-right"> <a href="#comments" id="view_comment" title="show comments" class="rel-tooltip"><i class="icon-comment"></i> comments (<fb:comments-count href="https://ideone.com/pdC89u"/>?</fb:comments-count>)</a> </div> </div>  <a name="stdin"></a> <div id="view_stdin" class="view_box"> <legend> <span><i class="icon-inbox"></i> stdin</span> <div class="pull-right"> <input type="hidden" value="" class="stdin-to-copy" /> <span><a id="view_input_copy" class="clipboard-copy-hidden-input" data-copy-from=".stdin-to-copy" style="cursor: pointer;"><i class="icon-docs"></i> copy</a></span> </div> </legend> <div id="stdin-text" class="hidden"></div> <div><pre style="padding: 5px !important; margin-bottom: 20px !important">Standard input is empty</pre></div> </div>  <div id="li_pdC89u" class="view_box"> <a name="stdout"></a> <legend> <span><i class="icon-cog-alt"></i> stdout</span> <div class="pull-right"> <input type="hidden" value="('Coefficient:', array([1.5])) ('Intercept:', 0.7000000000000011) ('Prediction', array([ 9.7, 11.2, 12.7])) " class="stdout-to-copy" /> <span><a id="view_output_copy" class="clipboard-copy-hidden-input" data-copy-from=".stdout-to-copy" style="cursor: pointer;"><i class="icon-docs"></i> copy</a></span> </div> </legend> <div> <pre id="output-text" style="padding: 5px !important; margin-bottom: 20px !important">('Coefficient:', array([1.5])) ('Intercept:', 0.7000000000000011) ('Prediction', array([ 9.7, 11.2, 12.7])) </pre> </div> </div>   <a name="comments"></a> <div id="fb-comments-root" class="hidden"></div> <div id="fb-root"></div> <script>(function(d, s, id) { var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/all.js#xfbml=1&appId=127237194030782"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk'));</script> </div>  <div class="span4">  <div id="bsa-zone_1620921930965-5_123456"></div> <div class="span4 right-sidebar"> <div id="info" class="view_box">  <legend><i class="icon-external-link"></i> https://ideone.com/pdC89u</legend>  <div class="note"> <div class="" style="margin-top: 10px;"></div> <textarea type="text" class="view_note_edit hidden" style="width: 100%; margin-top: 10px;" data-sid="93911170"></textarea> <span class="view_note_actions hidden"> <button class="btn btn-mini view_note_actions_save pull-right" type="button">save</button> <button class="btn btn-mini view_note_actions_cancel pull-right" type="button">cancel</button> </span> <div style="clear: both"></div> </div>  <div class="row"> <div class="span1">language:</div> <div class="span3"><strong>Python (cpython 2.7.16)</strong></div> </div> <div class="row"> <div class="span1">created:</div> <div class="span3" id="solution_date"><span class="rel-tooltip" title="2025-04-06 07:12:19 CET">1 day ago</span></div> </div> <div class="row"> <div class="span1">visibility:</div> <div class="span3"> <span><i class="icon-globe"></i> public</span> <div style="display: inline; 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