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    <title>PyPI recent updates for rulelift</title>
    <link>https://pypi.org/project/rulelift/</link>
    <description>Recent updates to the Python Package Index for rulelift</description>
    <language>en</language>    <item>
      <title>2.5.1</title>
      <link>https://pypi.org/project/rulelift/2.5.1/</link>
      <description>风控规则挖掘与评估工具包 - Automated rule mining and evaluation toolkit for credit risk management</description>
<author>15880982687@qq.com</author>      <pubDate>Tue, 05 May 2026 09:51:35 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/rulelift/1.6.0/</link>
      <description>风控规则挖掘与评估工具包 - Automated rule mining and evaluation toolkit for credit risk management</description>
<author>15880982687@qq.com</author>      <pubDate>Tue, 05 May 2026 09:23:16 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/rulelift/1.3.0/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Fri, 30 Jan 2026 08:25:23 GMT</pubDate>
    </item>    <item>
      <title>1.2.4</title>
      <link>https://pypi.org/project/rulelift/1.2.4/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Tue, 20 Jan 2026 13:54:07 GMT</pubDate>
    </item>    <item>
      <title>1.2.3</title>
      <link>https://pypi.org/project/rulelift/1.2.3/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Tue, 13 Jan 2026 07:01:03 GMT</pubDate>
    </item>    <item>
      <title>1.2.2</title>
      <link>https://pypi.org/project/rulelift/1.2.2/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Sun, 11 Jan 2026 02:36:26 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/rulelift/1.2.1/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Sat, 10 Jan 2026 14:53:45 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/rulelift/1.2.0/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Sat, 10 Jan 2026 14:22:13 GMT</pubDate>
    </item>    <item>
      <title>1.1.6</title>
      <link>https://pypi.org/project/rulelift/1.1.6/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Thu, 25 Dec 2025 12:07:03 GMT</pubDate>
    </item>    <item>
      <title>1.1.5</title>
      <link>https://pypi.org/project/rulelift/1.1.5/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Thu, 25 Dec 2025 07:07:41 GMT</pubDate>
    </item>    <item>
      <title>1.1.4</title>
      <link>https://pypi.org/project/rulelift/1.1.4/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Wed, 24 Dec 2025 14:06:13 GMT</pubDate>
    </item>    <item>
      <title>1.1.3</title>
      <link>https://pypi.org/project/rulelift/1.1.3/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Wed, 24 Dec 2025 12:02:54 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/rulelift/1.1.2/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Wed, 24 Dec 2025 07:08:59 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/rulelift/1.1.1/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Tue, 23 Dec 2025 12:30:03 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/rulelift/0.3.0/</link>
      <description>A tool for analyzing rule effectiveness in credit risk management</description>
<author>aialgorithm@example.com</author>      <pubDate>Wed, 17 Dec 2025 08:27:27 GMT</pubDate>
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