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    <title>PyPI recent updates for leaklens</title>
    <link>https://pypi.org/project/leaklens/</link>
    <description>Recent updates to the Python Package Index for leaklens</description>
    <language>en</language>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/leaklens/1.2.0/</link>
      <description>Leakage &amp; drift QA for ML datasets — catches target leakage, train/test contamination, distribution drift, temporal leakage, schema mismatches, and duplicate columns before they wreck your model.</description>
      <pubDate>Sat, 04 Jul 2026 11:15:23 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/leaklens/1.1.2/</link>
      <description>Leakage &amp; drift QA for ML datasets — catches target leakage, train/test contamination, distribution drift, temporal leakage, schema mismatches, and duplicate columns before they wreck your model.</description>
      <pubDate>Fri, 03 Jul 2026 09:55:56 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/leaklens/1.1.1/</link>
      <description>Leakage &amp; drift QA for ML datasets — catches target leakage, train/test contamination, distribution drift, temporal leakage, schema mismatches, and duplicate columns before they wreck your model.</description>
      <pubDate>Wed, 01 Jul 2026 17:43:08 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/leaklens/1.1.0/</link>
      <description>Leakage &amp; drift QA for ML datasets — catches target leakage, train/test contamination, distribution drift, temporal leakage, schema mismatches, and duplicate columns before they wreck your model.</description>
      <pubDate>Wed, 01 Jul 2026 11:52:14 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/leaklens/1.0.0/</link>
      <description>Leakage &amp; drift QA for ML datasets — catches target leakage, train/test contamination, distribution drift, temporal leakage, schema mismatches, and duplicate columns before they wreck your model.</description>
      <pubDate>Tue, 30 Jun 2026 07:26:25 GMT</pubDate>
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