https://github.com/bistcuite/plainml

Painless Machine Learning Library for python based on scikit-learn
https://github.com/bistcuite/plainml

machine-learning ml plainml python scikit-learn

Last synced: about 2 months ago
JSON representation

Painless Machine Learning Library for python based on scikit-learn

• Host: GitHub
• URL: https://github.com/bistcuite/plainml
• Owner: bistcuite
• License: mit
• Created: 2022-01-28T12:58:29.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-04-02T15:37:22.000Z (about 4 years ago)
• Last Synced: 2025-09-22T18:59:33.009Z (9 months ago)
• Topics: machine-learning, ml, plainml, python, scikit-learn
• Language: Python
• Homepage:
• Size: 19.5 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# PlainML

Painless Machine Learning Library for python based on [scikit-learn](https://scikit-learn.org/stable/).

[![Pypi](https://img.shields.io/pypi/v/plainml)](https://pypi.org/project/plainml)

[![Downloads](https://pepy.tech/badge/plainml)](https://pepy.tech/project/plainml)

## Installation

```

pip install plainml

```

## Example

```py

from plainml import KnnModel, load_iris, train_test_split

dt = load_iris()

data = dt.data

target = dt.target

x_train, x_test, y_train, y_test = train_test_split(data, target, test_size=0.2)

model = KnnModel(x_train, y_train)

model.fit()

print(model.score(x_test, y_test))

print(model.predict([[5.1, 3.5, 1.4, 0.2]]))

model.save(file_name='iris_knn.pkl')

```

## Todo

- `run_api`**WIP**

- `create_dashboard`

- AutoML

## License

[MIT License](LICENSE)