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    <title>PyPI recent updates for ftir-prep</title>
    <link>https://pypi.org/project/ftir-prep/</link>
    <description>Recent updates to the Python Package Index for ftir-prep</description>
    <language>en</language>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/ftir-prep/0.3.1/</link>
      <description>A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and allows automated exploration of preprocessing combinations to enhance model performance.</description>
<author>lucas.mendonca@example.com</author>      <pubDate>Mon, 20 Apr 2026 18:00:38 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/ftir-prep/0.3.0/</link>
      <description>A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and allows automated exploration of preprocessing combinations to enhance model performance.</description>
<author>lucas.mendonca@example.com</author>      <pubDate>Mon, 20 Apr 2026 17:48:23 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/ftir-prep/0.2.3/</link>
      <description>A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and allows automated exploration of preprocessing combinations to enhance model performance.</description>
<author>lucas.mendonca@example.com</author>      <pubDate>Mon, 20 Apr 2026 14:43:33 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/ftir-prep/0.2.2/</link>
      <description>A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and allows automated exploration of preprocessing combinations to enhance model performance.</description>
<author>lucas.mendonca@example.com</author>      <pubDate>Sun, 19 Apr 2026 15:03:11 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/ftir-prep/0.2.1/</link>
      <description>A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and allows automated exploration of preprocessing combinations to enhance model performance.</description>
<author>lucas.mendonca@example.com</author>      <pubDate>Sat, 11 Apr 2026 12:48:12 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/ftir-prep/0.2.0/</link>
      <description>A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and allows automated exploration of preprocessing combinations to enhance model performance.</description>
<author>lucas.mendonca@example.com</author>      <pubDate>Sat, 11 Apr 2026 11:47:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/ftir-prep/0.1.0/</link>
      <description>A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and allows automated exploration of preprocessing combinations to enhance model performance.</description>
<author>lucas.mendonca@example.com</author>      <pubDate>Mon, 22 Dec 2025 15:06:52 GMT</pubDate>
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