Metadata-Version: 2.1
Name: glvi
Version: 0.1.6
Summary: Local variable importance from a global model
Home-page: https://github.com/PowderL/Local-variable-importance-from-a-global-mode
Author: TaoLi
Author-email: lp1559345469@gmail.com
License: UNKNOWN
Description: glvi
        ============
        
        glvi is a Python module for machine learning built on top of Scikit-learn and is distributed under the MIT license.
        
        glvi was developed by Mr. Li for evaluating variable importance heterogeneity through a global model built on a large time-space scope.
        
        **glvi 0.1.4 was not supporting Python 2.7 and Python 3.4.**
        glvi 0.1.4 and later require Python 3.5 or newer.
        
        glvi requires:
        
        - Python (>= 3.5)
        - NumPy (>= 1.11.0)
        - SciPy (>= 0.17.0)
        - Scikit-learn (>= 0.21.0)
        User installation
        ~~~~~~~~~~~~~~~~~
        
        If you already have a working installation of numpy, scipy, pandas and scikit-learn, the easiest way to install glvi is using ``pip``   ::
        	
        	pip install -U glvi
        
        User guide
        ~~~~~~~~~~~~~~~~~
        
        Compute local variable importance based on decrease in node impurity ::
        
        	from glvi import todi
        	r_t = todi.lovim(500, max_features=0.3, n_jobs=-1)
        	r_t.fit(train_x, train_y)
        	local_variable_importance = r_t.compute_feature_importance(X,Y,partition_feature = partition_feature, norm=True,n_jobs=-1)
        
        or compute local variable importance based on decrease in accuracy ::
        
        	from glvi import meda
        	r_m = meda.lovim(500, max_features=0.3, n_jobs=-1)
        	r_m.fit(train_x, train_y_
        	local_variable_importance = r_m.compute_feature_importance(X,Y,partition_feature = partition_feature, norm=True,n_jobs=-1)
        
Keywords: random forests variable importance
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: License :: Freeware
Classifier: Natural Language :: English
Requires-Python: >=3.6
Description-Content-Type: text/markdown
