Metadata-Version: 2.1
Name: causallib
Version: 0.5.0b0
Summary: A library of causal inference tools by IBM Haifa Research Labs
Home-page: https://github.com/IBM/causallib
Author: IBM Research Haifa Labs - Machine Learning for Healthcare and Life Sciences
License: Apache License 2.0
Project-URL: Documentation, https://causallib.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/IBM/causallib
Project-URL: Bug Tracker, https://github.com/IBM/causallib/issues
Description: [![Build Status](https://travis-ci.org/IBM/causallib.svg?&branch=master)](https://travis-ci.org/IBM/causallib)
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        # IBM Causal Inference Library
        A Python package for computational inference of causal effect.
        
        ## Description
        Causal inference analysis allows estimating of the effect of intervention
        on some outcome from observational data.
        It deals with the selection bias that is inherent to such data.  
        
        This python package allows creating modular causal inference models
        that internally utilize machine learning models of choice,
        and can estimate either individual or average outcome given an intervention.
        The package also provides the means to evaluate the performance of the 
        machine learning models and their predictions.
        
        The machine learning models must comply with scikit-learn's api 
        and contain `fit()` and `predict()` functions. 
        Categorical models must also implement `predict_proba()`. 
        
        ## Installation
        ```bash
        pip install causallib
        ```
        
        ## Usage
        In general, the package is imported using the name `causallib`. 
        For example, use 
        ```Python
        from sklearn.linear_model import LogisticRegression
        from causallib.estimation import IPW 
        ipw = IPW(LogisticRegression())
        ```
        Comprehensive Jupyter Notebooks examples can be found in the [examples directory](examples).
        
        
Keywords: causal inference effect estimation causality
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
