LLM-Inflation
Code for my Machine Learning for Trading and Portfolio Management course project at ENSAE
Installation
The package was published to PyPi, and can be installed using
pip install llm-inflation
Usage
Please refer to the Colab notebook, and the code's docstrings.
Code standards
This project adheres to the default black and flake8 standards, enforced with pre-commit hooks.
1 maintainer
Metadata
1 maintainer
Release files for llm-inflation 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llm_inflation-0.1.6.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_inflation-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.9 kB
Release files / llm_inflation-0.1.6.tar.gz
| Download URL | llm_inflation-0.1.6.tar.gz |
|---|---|
| Size | 7.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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poetry/1.7.0 CPython/3.9.7 Darwin/23.1.0
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Release files / llm_inflation-0.1.6-py3-none-any.whl
| Download URL | llm_inflation-0.1.6-py3-none-any.whl |
|---|---|
| Size | 8.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.0 CPython/3.9.7 Darwin/23.1.0
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