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<title>tb_ml/source, 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/source?h=alpha</id>
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<updated>2026-04-25T13:02:38Z</updated>
<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'>
</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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<id>urn:sha1:03cf47459f0e29ce43f9388a021022dc5978c492</id>
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</content>
</entry>
<entry>
<title>refactor(main): refactod entry point and cleanedup logic</title>
<updated>2026-04-21T16:41:47Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-21T16:41:47Z</published>
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<content type='text'>
</content>
</entry>
<entry>
<title>refactor(base): logging vprintf etc.</title>
<updated>2026-04-21T16:41:23Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-21T16:41:23Z</published>
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<id>urn:sha1:eccde56adb4807032ae4f690b7d114988d019245</id>
<content type='text'>
luca mentions in his code stb_sprintf so will check that out later
</content>
</entry>
<entry>
<title>refactor(base): cleaned up testing framework</title>
<updated>2026-04-20T21:09:03Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-20T21:09:03Z</published>
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<id>urn:sha1:59b145987c32b0e0033df21d4b9423533d206700</id>
<content type='text'>
</content>
</entry>
<entry>
<title>feature(main): improved mean squared error</title>
<updated>2026-04-20T16:06:26Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-20T16:06:26Z</published>
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<id>urn:sha1:e893c1a00f4db7160cfbba96275cb036e37e98c8</id>
<content type='text'>
</content>
</entry>
<entry>
<title>feature(base): checkpoint</title>
<updated>2026-04-20T15:56:26Z</updated>
<author>
<name>nasr</name>
<email>nsrddyn@gmail.com</email>
</author>
<published>2026-04-20T15:56:26Z</published>
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<id>urn:sha1:f49e0088074692f7fcc6c67eccf5348e1a73042f</id>
<content type='text'>
- math stuff
- clangd for nvim lsp
- and and cleanup
</content>
</entry>
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