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<title>tb_ml, branch alpha</title>
<subtitle>attempt at writing a machine learning library in c using tb_db for the input data.</subtitle>
<id>https://git.nsrddyn.com/tb_ml/atom/?h=alpha</id>
<link rel='self' href='https://git.nsrddyn.com/tb_ml/atom/?h=alpha'/>
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<updated>2026-04-25T13:05:08Z</updated>
<entry>
<title>refactor(readme): basic bad prediction because not enough parameters</title>
<updated>2026-04-25T13:05:08Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-25T13:05:08Z</published>
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<id>urn:sha1:31905c75a401ef85e644fd8466f84c23025dc0d7</id>
<content type='text'>
</content>
</entry>
<entry>
<title>bugfix(main): fixed null root and invalid key counting</title>
<updated>2026-04-25T13:02:39Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-25T13:02:18Z</published>
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<id>urn:sha1:e25a553b24c7d210eec7c03b0459dafde313ed1d</id>
<content type='text'>
</content>
</entry>
<entry>
<title>debug(main): traverse btree for debugging</title>
<updated>2026-04-25T13:02:38Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-25T13:01:43Z</published>
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<id>urn:sha1:700ada0dd9cfc74e57b86af1bdac3913dd1cf7ff</id>
<content type='text'>
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</entry>
<entry>
<title>refactor(main): refactored README.md</title>
<updated>2026-04-25T13:02:38Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-25T13:01:28Z</published>
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<id>urn:sha1:80220065b6097e58d1723ee0340d83d1f3070f0c</id>
<content type='text'>
</content>
</entry>
<entry>
<title>refactor(build): removed some errors because logging without arguments does weird</title>
<updated>2026-04-25T13:02:38Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-25T13:00:56Z</published>
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<id>urn:sha1:f8e0370e9ee197c14ddfb4176661007f643c54a3</id>
<content type='text'>
</content>
</entry>
<entry>
<title>refactor(main): format</title>
<updated>2026-04-25T13:02:38Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-25T11:56:27Z</published>
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<id>urn:sha1:fb96802838a0c180bd50388d13f82d619dbd4654</id>
<content type='text'>
</content>
</entry>
<entry>
<title>feature(main): fixed btree normalization nested indexing</title>
<updated>2026-04-25T11:53:40Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-25T11:53:40Z</published>
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<id>urn:sha1:86c3fc916097ca865eae8552f95183aace1b2a09</id>
<content type='text'>
</content>
</entry>
<entry>
<title>feature(model): getting nan value when training model. but the core idea is working were training something. just very wrong</title>
<updated>2026-04-23T20:33:01Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-23T20:33:01Z</published>
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<id>urn:sha1:4b625a811039ded1671bf6a2dd8919356403a5d9</id>
<content type='text'>
i dont think that the issue necesarrely lies with the model training
logic because i approached that properly but the csv decorder could be
the issue like i mentioned before
</content>
</entry>
<entry>
<title>refactor(base): refactoered a bunch of stuff dont remember but added breakpoing when asserting</title>
<updated>2026-04-23T20:31:40Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-23T20:31:40Z</published>
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</content>
</entry>
<entry>
<title>feature(csv_decoder): getting a segfault in the parser dont know where</title>
<updated>2026-04-23T20:31:09Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-23T20:31:09Z</published>
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