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    <title>PyPI recent updates for randomstatsmodels</title>
    <link>https://pypi.org/project/randomstatsmodels/</link>
    <description>Recent updates to the Python Package Index for randomstatsmodels</description>
    <language>en</language>    <item>
      <title>4.5.1</title>
      <link>https://pypi.org/project/randomstatsmodels/4.5.1/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Fri, 27 Mar 2026 08:47:18 GMT</pubDate>
    </item>    <item>
      <title>4.5.0</title>
      <link>https://pypi.org/project/randomstatsmodels/4.5.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 22:27:11 GMT</pubDate>
    </item>    <item>
      <title>4.1.0</title>
      <link>https://pypi.org/project/randomstatsmodels/4.1.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 17:00:13 GMT</pubDate>
    </item>    <item>
      <title>4.0.7</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.7/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 15:32:10 GMT</pubDate>
    </item>    <item>
      <title>4.0.6</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.6/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 13:26:13 GMT</pubDate>
    </item>    <item>
      <title>4.0.5</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.5/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 11:08:36 GMT</pubDate>
    </item>    <item>
      <title>4.0.4</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.4/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 10:57:30 GMT</pubDate>
    </item>    <item>
      <title>4.0.3</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.3/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 10:48:44 GMT</pubDate>
    </item>    <item>
      <title>4.0.2</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.2/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 10:41:34 GMT</pubDate>
    </item>    <item>
      <title>4.0.1</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.1/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 10:34:08 GMT</pubDate>
    </item>    <item>
      <title>4.0.0</title>
      <link>https://pypi.org/project/randomstatsmodels/4.0.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Thu, 26 Mar 2026 08:59:30 GMT</pubDate>
    </item>    <item>
      <title>3.3.1</title>
      <link>https://pypi.org/project/randomstatsmodels/3.3.1/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Wed, 25 Mar 2026 14:54:49 GMT</pubDate>
    </item>    <item>
      <title>3.3.0</title>
      <link>https://pypi.org/project/randomstatsmodels/3.3.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Wed, 25 Mar 2026 14:49:43 GMT</pubDate>
    </item>    <item>
      <title>3.2.1</title>
      <link>https://pypi.org/project/randomstatsmodels/3.2.1/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Wed, 25 Mar 2026 14:46:12 GMT</pubDate>
    </item>    <item>
      <title>3.2.0</title>
      <link>https://pypi.org/project/randomstatsmodels/3.2.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Wed, 25 Mar 2026 14:42:40 GMT</pubDate>
    </item>    <item>
      <title>3.1.1</title>
      <link>https://pypi.org/project/randomstatsmodels/3.1.1/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Wed, 25 Mar 2026 12:22:28 GMT</pubDate>
    </item>    <item>
      <title>3.1.0</title>
      <link>https://pypi.org/project/randomstatsmodels/3.1.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Wed, 25 Mar 2026 12:06:43 GMT</pubDate>
    </item>    <item>
      <title>3.0.0</title>
      <link>https://pypi.org/project/randomstatsmodels/3.0.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Tue, 24 Mar 2026 15:35:33 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/randomstatsmodels/2.0.0/</link>
      <description>Lightweight univariate time-series forecasting with auto-tuned models — NumPy only.</description>
      <pubDate>Tue, 24 Mar 2026 15:14:53 GMT</pubDate>
    </item>    <item>
      <title>1.6.1</title>
      <link>https://pypi.org/project/randomstatsmodels/1.6.1/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Sun, 01 Feb 2026 15:45:03 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/randomstatsmodels/1.6.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Sun, 01 Feb 2026 14:43:42 GMT</pubDate>
    </item>    <item>
      <title>1.5.0</title>
      <link>https://pypi.org/project/randomstatsmodels/1.5.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Sun, 01 Feb 2026 14:32:42 GMT</pubDate>
    </item>    <item>
      <title>1.4.0</title>
      <link>https://pypi.org/project/randomstatsmodels/1.4.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Sun, 01 Feb 2026 14:12:49 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/randomstatsmodels/1.3.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Sun, 01 Feb 2026 14:04:28 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/randomstatsmodels/1.2.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Sun, 01 Feb 2026 13:57:13 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/randomstatsmodels/1.1.2/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Fri, 29 Aug 2025 18:37:56 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/randomstatsmodels/1.1.1/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Fri, 29 Aug 2025 18:34:32 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/randomstatsmodels/1.1.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Fri, 29 Aug 2025 18:18:20 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/randomstatsmodels/1.0.3/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Thu, 28 Aug 2025 10:00:48 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/randomstatsmodels/1.0.2/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Thu, 28 Aug 2025 09:57:30 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/randomstatsmodels/1.0.1/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Thu, 28 Aug 2025 07:53:27 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/randomstatsmodels/1.0.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Thu, 28 Aug 2025 07:31:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/randomstatsmodels/0.1.0/</link>
      <description>Tools for benchmarking, metrics, and models.</description>
      <pubDate>Wed, 27 Aug 2025 18:59:53 GMT</pubDate>
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