Metadata-Version: 2.1
Name: py-lingo
Version: 0.0.1b1
Summary: Utilities for saving Scikit-Learn Linear Models in HDF5 format.
Home-page: https://github.com/markdouthwaite/py-lingo
Author: Mark Douthwaite
Author-email: mark@douthwaite.io
License: MIT
Description: # 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")
        ```
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: tests
