<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to Home</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>Recent changes to Home</description><atom:link href="https://sourceforge.net/p/okrolearn/wiki1/Home/feed" rel="self"/><language>en</language><lastBuildDate>Sat, 24 Aug 2024 14:20:08 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/okrolearn/wiki1/Home/feed" rel="self" type="application/rss+xml"/><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v13
+++ v14
@@ -16,3 +16,4 @@
 &lt;br/&gt;
 In gpu version cupy is imported as np
 &lt;br/&gt;
+Chatgpt was used for some of the docstrings, some of computing layers that would had a simmilar implementation just different formulas, math and dimensions.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:08 -0000</pubDate><guid>https://sourceforge.netfa4e223475ba09883056247e49acf0c7963ebc6f</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v12
+++ v13
@@ -16,4 +16,3 @@
 &lt;br/&gt;
 In gpu version cupy is imported as np
 &lt;br/&gt;
-# Note if you are using the library from pip replace okrolearn.src.okrolearn.{module} with okrolearn.{module}
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:07 -0000</pubDate><guid>https://sourceforge.netb9e16423bc800213eedec503af44da0946fa19e4</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v11
+++ v12
@@ -14,4 +14,6 @@
 &lt;br/&gt;
 If it is not working for you try installing it in a venv as venv is recommended.
 &lt;br/&gt;
+In gpu version cupy is imported as np
+&lt;br/&gt;
 # Note if you are using the library from pip replace okrolearn.src.okrolearn.{module} with okrolearn.{module}
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:07 -0000</pubDate><guid>https://sourceforge.net8e30743dbea2962689ccb64d59b1fa224b11f423</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v10
+++ v11
@@ -6,10 +6,12 @@
 &lt;br/&gt;
 So allowing for advanced data analysis while also allowing the powerfull feautures of pytorch tensors, and neural network layers. 
 &lt;br/&gt;
-It also aims to use easy and simple syntax
+It also aims to use easy and simple syntax.
 &lt;br/&gt;
-Okrolearn icon created by bing copilot ( Dalee)
+Okrolearn icon created by bing copilot ( Dalee).
 &lt;br/&gt;
-Hatch is used for building
+Hatch is used for building.
+&lt;br/&gt;
+If it is not working for you try installing it in a venv as venv is recommended.
 &lt;br/&gt;
 # Note if you are using the library from pip replace okrolearn.src.okrolearn.{module} with okrolearn.{module}
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:07 -0000</pubDate><guid>https://sourceforge.netf2528acefe67e9477d508c68a3c8a859586bd79c</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v9
+++ v10
@@ -11,3 +11,5 @@
 Okrolearn icon created by bing copilot ( Dalee)
 &lt;br/&gt;
 Hatch is used for building
+&lt;br/&gt;
+# Note if you are using the library from pip replace okrolearn.src.okrolearn.{module} with okrolearn.{module}
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:06 -0000</pubDate><guid>https://sourceforge.net8c19a9be561fc0d090cb3a9fe3a76ad32d2ac4ac</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v8
+++ v9
@@ -6,6 +6,8 @@
 &lt;br/&gt;
 So allowing for advanced data analysis while also allowing the powerfull feautures of pytorch tensors, and neural network layers. 
 &lt;br/&gt;
+It also aims to use easy and simple syntax
+&lt;br/&gt;
 Okrolearn icon created by bing copilot ( Dalee)
 &lt;br/&gt;
 Hatch is used for building
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:06 -0000</pubDate><guid>https://sourceforge.net59e09de8581340661ceea66e4ee58bbea2253850</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v7
+++ v8
@@ -7,3 +7,5 @@
 So allowing for advanced data analysis while also allowing the powerfull feautures of pytorch tensors, and neural network layers. 
 &lt;br/&gt;
 Okrolearn icon created by bing copilot ( Dalee)
+&lt;br/&gt;
+Hatch is used for building
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:06 -0000</pubDate><guid>https://sourceforge.neta77f1d1eb6dc6fc0ec594610f5daef811ec25b6c</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v6
+++ v7
@@ -1,9 +1,5 @@
 Welcome to the okrolearn wiki!
 __________
-Why is pypi not yet supported
-&lt;br/&gt; 
-Well I have some problems with packaging the library.
-&lt;br/&gt;
 What is the point of this library?
 &lt;br/&gt;
 It is supposed to be a raw implementation of combining pytorch and scikit-learn. 
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:06 -0000</pubDate><guid>https://sourceforge.net3a61f20e159a70f7f634db8fddc0603d4dd095f9</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v5
+++ v6
@@ -2,12 +2,12 @@
 __________
 Why is pypi not yet supported
 &lt;br/&gt; 
-Well I have some problems with actually building the library
-&lt;br/&gt;
-Note just download the okrolearn.py file, You don't need anything else from here
+Well I have some problems with packaging the library.
 &lt;br/&gt;
 What is the point of this library?
 &lt;br/&gt;
 It is supposed to be a raw implementation of combining pytorch and scikit-learn. 
 &lt;br/&gt;
 So allowing for advanced data analysis while also allowing the powerfull feautures of pytorch tensors, and neural network layers. 
+&lt;br/&gt;
+Okrolearn icon created by bing copilot ( Dalee)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:06 -0000</pubDate><guid>https://sourceforge.net7c14604bf08686a2bcba5a63a63d5876396c6cf5</guid></item><item><title>Home modified by Okerew Lochraw</title><link>https://sourceforge.net/p/okrolearn/wiki1/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v4
+++ v5
@@ -5,3 +5,9 @@
 Well I have some problems with actually building the library
 &lt;br/&gt;
 Note just download the okrolearn.py file, You don't need anything else from here
+&lt;br/&gt;
+What is the point of this library?
+&lt;br/&gt;
+It is supposed to be a raw implementation of combining pytorch and scikit-learn. 
+&lt;br/&gt;
+So allowing for advanced data analysis while also allowing the powerfull feautures of pytorch tensors, and neural network layers. 
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Okerew Lochraw</dc:creator><pubDate>Sat, 24 Aug 2024 14:20:05 -0000</pubDate><guid>https://sourceforge.net571012053caab747a9ff427782f20600f2d10821</guid></item></channel></rss>