LinguAML
LinguAML is an innovative project that combines the power of Large Language Models (LLMs) with traditional automated machine learning (AML) techniques, with a primary focus on tuning machine learning models for various tasks. By integrating LLMs' capabilities into the AML workflow, LinguAML aims to enhance the performance and efficiency of machine learning models, specifically by automating the process of hyperparameter tuning.
Development Notes
Check the development notes 👉 here.
Metadata
Release files for linguaml 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| linguaml-0.0.1.tar.gz | 1.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| linguaml-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.1 kB
Release files / linguaml-0.0.1.tar.gz
| Download URL | linguaml-0.0.1.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / linguaml-0.0.1-py3-none-any.whl
| Download URL | linguaml-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
bc8de30e4c9d9227d8f1724ba42415cd55e7bb1ebfcec0083f433f46d12f8717
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|