2023-04-01 00:36:31 +02:00
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# TWML
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---
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[minor] Fix grammar + typo issues
Closes #557, closes #678, closes #748, closes #806, closes #818, closes #842, closes #866, closes #948, closes #1024, closes #1313, closes #1458, closes #1461, closes #1465, closes #1491, closes #1503, closes #1539, closes #1611
2023-04-04 23:13:24 +02:00
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Note: `twml` is no longer under development. Much of the code here is out of date and unused.
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2023-04-01 00:36:31 +02:00
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It is included here for completeness, because `twml` is still used to train the light ranker models
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(see `src/python/twitter/deepbird/projects/timelines/scripts/models/earlybird/README.md`)
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---
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TWML is one of Twitter's machine learning frameworks, which uses Tensorflow under the hood. While it is mostly
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deprecated,
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it is still currently used to train the Earlybird light ranking models (
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see `src/python/twitter/deepbird/projects/timelines/scripts/models/earlybird/train.py`).
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[minor] Fix grammar + typo issues
Closes #557, closes #678, closes #748, closes #806, closes #818, closes #842, closes #866, closes #948, closes #1024, closes #1313, closes #1458, closes #1461, closes #1465, closes #1491, closes #1503, closes #1539, closes #1611
2023-04-04 23:13:24 +02:00
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The most relevant part of this is the `DataRecordTrainer` class, which is where the core training logic resides.
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