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Stats.html
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html><head><title>Python: module Stats</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head><body bgcolor="#f0f0f8">
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="heading">
<tr bgcolor="#7799ee">
<td valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"> <br><big><big><strong>Stats</strong></big></big></font></td
><td align=right valign=bottom
><font color="#ffffff" face="helvetica, arial"><a href=".">index</a><br><a href="file:c%3A%5Cusers%5Caditya%20agarwal%5C.spyder-py3%5Ca3%5Cstats.py">c:\users\aditya agarwal\.spyder-py3\a3\stats.py</a></font></td></tr></table>
<p><tt>Created on sat Nov 21 18:09:37 2020<br>
<br>
@author: Jalaj</tt></p>
<p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#eeaa77">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Functions</strong></big></font></td></tr>
<tr><td bgcolor="#eeaa77"><tt> </tt></td><td> </td>
<td width="100%"><dl><dt><a name="-for_getting_metrics"><strong>for_getting_metrics</strong></a>(for_train_reconstruction, Data_test)</dt><dd><tt>It calculates root mean squared error, spearman rank correlation coeffecient and the precision on top k <br>
<br>
Parameters<br>
----------<br>
for_train_reconstruction :<br>
train data<br>
<br>
Data_test : <br>
test data<br>
<br>
Returns<br>
-------<br>
RMSE : <br>
root mean squared error<br>
<br>
SRC :<br>
spearman rank correlation coeffecient<br>
<br>
PRECISION_TOP_K : <br>
precision on top k</tt></dd></dl>
</td></tr></table>
</body></html>