Metadata-Version: 2.1
Name: mlgear
Version: 0.4
Summary: Utility scripts for machine learning
Home-page: https://github.com/peterhurford/mlgear
Author: Peter Hurford
Author-email: peter@peterhurford.com
License: UNKNOWN
Description: ## MLGear
        
        Some utility functions to make ML with Python / Pandas / sklearn even easier
        
        ### Example Usage
        
        ```Python
        from mlgear.cv import run_cv_model
        from mlgear.models import runLGB
        from mlgear.metrics import rmse
        
        lgb_params = {'application': 'regression',
                      'boosting': 'gbdt',
                      'metric': 'rmse',
                      'num_leaves': 15,
                      'learning_rate': 0.01,
                      'bagging_fraction': 0.9,
                      'feature_fraction': 0.9,
                      'verbosity': -1,
                      'seed': 1,
                      'lambda_l1': 1,
                      'lambda_l2': 1,
                      'early_stop': 20,
                      'verbose_eval': 10,
                      'num_rounds': 500,
                      'num_threads': 3}
        
        results = run_cv_model(train, test, target, runLGB, lgb_params, rmse)
        ```
        
        ### Installation
        
        `pip3 install mlgear`
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
