Metadata-Version: 2.1
Name: datawig
Version: 0.0.2
Summary: Imputation for tables with missing values
Home-page: https://github.com/awslabs/datawig
Author: datawig-dev
Author-email: datawig-dev@amazon.com
Maintainer-email: datawig-dev@amazon.com
License: Apache License 2.0
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: numpy (==1.15.0)
Requires-Dist: scikit-learn[alldeps] (==0.19.0)
Requires-Dist: pytest (==3.2.1)
Requires-Dist: pandas (==0.22.0)
Requires-Dist: mxnet (==1.3.0b20180820)

DataWig - Imputation for Tables
================================

DataWig learns models to impute missing values in tables. 

For each to-be-imputed column, DataWig trains a supervised machine learning model
to predict the observed values in that column from the values in other columns  

# Installation with pip

```
pip install datawig
```

# Running Tests

Set up virtualenv in the root dir of the package:

```
python3 -m venv venv
```

Install the package from local sources:

```
./venv/bin/pip install -e .
```

Run tests:

```
./venv/bin/pip install -r requirements/requirements.dev.txt
./venv/bin/python -m pytest
```

 ### Acknowledgments
 Thanks to [David Greenberg](https://github.com/dgreenberg) for the package name. 


