Metadata-Version: 2.1
Name: iblm
Version: 0.1.1
Summary: inductive bias learning
License: MIT
Author: toma tanaka
Author-email: ulti4929@gmail.com
Requires-Python: >=3.9,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: jupyter (>=1.0.0,<2.0.0)
Requires-Dist: langchain (>=0.0.208,<0.0.209)
Requires-Dist: openai (>=0.27.8,<0.28.0)
Requires-Dist: pandas (>=2.0.2,<3.0.0)
Requires-Dist: scikit-learn (>=1.2.2,<2.0.0)
Description-Content-Type: text/markdown

# IBLM:Inductive Bias Learning Models


- [](#)
- [How It Works](#how-it-works)
- [How to Use](#how-to-use)
- [Supported Models](#supported-models)
- [Contributor](#contributor)
- [Backstory](#backstory)



## What is IBLM?



## How It Works





## How to Use
Use the link below to try it out immediately on Google colab.


## Supported Models
Currently, the recommended model is GPT-4


## Contributor
- [@t-ymbys](https://github.com/t-ymbys)
- [@cn47](https://github.com/cn47)


## Backstory
This idea is based on [langchain-tools](https://github.com/fuyu-quant/langchain-tools), which was created in an attempt to make LLM learn LightGBM.
