autoai
Enrichment pendingPython based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
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- As of today · Source: github_public_v1
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- Not a fork · Organization account
- As of today · Source: github_public_v1
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- 12 low (12 low)
- As of today · Source: osv@v1
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Overview
Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
``` Python import blobcity as bcSource link
Tags
README
Getting Started
pip install blobcity
import blobcity as bc
model = bc.train(file="data.csv", target="Y_column")
model.spill("my_code.py")
Y_column is the name of the target column. The column must be present within the data provided.
Automatic inference of Regression / Classification is supported by the framework.
Data input formats supported include:
- Local CSV / XLSX file
- URL to a CSV / XLSX file
- Pandas DataFrame
model = bc.train(file="data.csv", target="Y_column") #local file
model = bc.train(file="https://example.com/data.csv", target="Y_column") #url
model = bc.train(df=my_df, target="Y_column") #DataFrame