avish_lib
avish_lib is a small collection of custom machine-learning algorithms implemented with minimal dependencies (NumPy).
Install for local development:
python -m pip install -e .
Quick usage:
from avish_lib import LinearRegression, RidgeRegression, KNNRegressor, PCA
# Simple linear fit
X = [[1], [2], [3], [4]]
y = [2, 4, 6, 8]
model = LinearRegression()
model.fit(X, y)
print("coef:", model.coef_, "intercept:", model.intercept_)
# PCA example
p = PCA(n_components=1)
X_reduced = p.fit_transform([[1,2],[3,4],[5,6]])
print(X_reduced)
Project layout:
your_project_name/
├── src/
│ └── avish_lib/
│ ├── __init__.py
│ └── linear_models.py
├── tests/
├── pyproject.toml
├── README.md
└── LICENSE
1 maintainer
Metadata
1 maintainer
Release files for avish-lib 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| avish_lib-0.1.0.tar.gz | 4.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| avish_lib-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.5 kB
Release files / avish_lib-0.1.0.tar.gz
| Download URL | avish_lib-0.1.0.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
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Release files / avish_lib-0.1.0-py3-none-any.whl
| Download URL | avish_lib-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
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