Metadata-Version: 2.1
Name: d3m-interface
Version: 0.1.20
Summary: Library to use D3M AutoML Systems
Home-page: https://gitlab.com/ViDA-NYU/d3m/d3m_interface
Author: Roque Lopez
Author-email: rlopez@nyu.edu
License: Apache-2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: ta3ta2-api (==2020.6.2)
Requires-Dist: d3m (==2020.5.18)
Requires-Dist: pandas (==1.0.3)
Requires-Dist: pipelineprofiler (==0.1.15)
Requires-Dist: data-profile-viewer (==0.2.0)
Requires-Dist: visual-text-explorer (==0.1.2)
Requires-Dist: datamart-profiler (==0.6.2)

D3M Interface Library
=====================
Library to use D3M AutoML systems. This repository contains an implementation to integrate 
 D3M AutoML systems with Jupyter Notebooks using the TA3-TA2 API. 

[Documentation is available here](https://d3m-interface.readthedocs.io/en/latest/)

## Installation
This package works with Python 3.6. You need to have [Docker](https://docs.docker.com/get-docker/) installed on your operating system.
Since it uses the D3M core package, you also need to install libcurl4-openssl-dev (for Debian/Ubuntu).

You can install the latest stable version of this library from [PyPI](https://pypi.org/project/d3m-interface/):

```
$ pip3 install d3m-interface
```

To install the latest development version:

```
$ pip3 install git+https://gitlab.com/ViDA-NYU/d3m/d3m_interface.git
```


Getting `ImportError: pycurl`? 
See this [page](https://gitlab.com/ViDA-NYU/d3m/d3m_interface/-/wikis/Pycurl-problem).

