https://github.com/markdouthwaite/py-lingo

Utilities for helping you deploy Scikit-Learn models in Go (with lingo!)
https://github.com/markdouthwaite/py-lingo

hdf5 linear-models scikit-learn

Last synced: 13 days ago
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Utilities for helping you deploy Scikit-Learn models in Go (with lingo!)

• Host: GitHub
• URL: https://github.com/markdouthwaite/py-lingo
• Owner: markdouthwaite
• License: mit
• Created: 2020-11-11T07:57:13.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2020-11-12T18:37:24.000Z (about 4 years ago)
• Last Synced: 2025-01-01T08:52:09.692Z (15 days ago)
• Topics: hdf5, linear-models, scikit-learn
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# py-lingo

Utilities for helping you deploy a subset of Scikit-Learn linear models in Go. See the 

`lingo` repository for more details.

This package is particularly focussed on saving linear models _for inference_ purposes.

The package has been tested and supports the following Linear Model variants:

* **LinearRegression**

* **LogisticRegression**

* **Ridge**

* **RidgeClassifier**

* **Lasso**

* **SGDRegressor**

* **SGDClassifier**

## Quickstart

You can install `py-lingo` with.

```bash

pip install py-lingo

```  

You'll then be able to import it in your code with:

```python

import pylingo

from sklearn.linear_model import LinearRegression

model = LinearRegression()

pylingo.dump(model, "model.h5")

loaded_model = pylingo.load("model.h5")

```