Metadata-Version: 2.1
Name: shs-sklearn-barebones
Version: 1.1.3
Summary: extends sklearn models with fast single instance prediction methods
Home-page: https://gitlab.dillinger.de/KI/DataScience/utils/shs-sklearn-barebones
Author: Boris Wiegand
Author-email: boris.wiegand@stahl-holding-saar.de
License: UNKNOWN
Description: # shs-sklearn-barebones
        
        extends sklearn models with fast single instance prediction methods
        
        ## Installing
        
        ```
        python -m pip install
               -i http://nexus.int.shsservices.de/repository/ki-python-releases/simple
               --trusted-host nexus.int.shsservices.de shs-sklearn-barebones
        ```
        
        If pip is already configured to use the nexus repository:
        
        ```
        pip install shs-sklearn-barebones
        ```
        
        ### Usage
        
        Have look into the [API documentation](http://ki-prod-datascience/apidocs/shs-sklearn-barebones) to see a list of supported algorithms.
        
        Instead of importing the original sklearn class, import the barebones equivalent:
        ```python
        from shs_sklearn_barebones.cluster import BarebonesKMeans
        
        BarebonesKMeans(n_clusters=3)
        kmeans.fit(X)
        kmeans.predict(X)
        kmeans.predict_single(X[0,:])
        ```
        
        ## Running the tests
        
        ```
        make test
        ```
        
        ## Deployment
        
        When changes are pushed into the master branch, the project is bundled and
        uploaded to our Nexus automatically.
        
        ## Versioning
        
        We use [SemVer](http://semver.org/) for versioning.
        
        ## Authors
        
        * **Boris Wiegand** - boris.wiegand@stahl-holding-saar.de
        
        See also the list of [contributors](https://gitlab.dillinger.de/KI/DataScience/utils/shs-sklearn-barebones/-/graphs/master) who participated in this project.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Sklearn
Classifier: Topic :: Fast Predictions
Description-Content-Type: text/markdown
