Metadata-Version: 2.0
Name: morf-api
Version: 0.4.2
Summary: The MOOC Replication Framework Python API
Home-page: https://educational-technology-collective.github.io/morf/
Author: The University of Michigan/The University of Pennsylvania Center for Learning Analytics
Author-email: morf-info@umich.edu
License: UNKNOWN
Keywords: mooc replication
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Education
Classifier: Topic :: Education :: Computer Aided Instruction (CAI)
Classifier: Topic :: Internet :: Log Analysis
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3
Requires-Dist: boto
Requires-Dist: boto3
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: sklearn

The MOOC Replication Framework (MORF) is a framework that facilitates 
the replication of previously published findings across multiple data sets. It facilitates 
the construction and evaluation of end-to-end pipelines from raw data to evaluation. 
MORF is designed to ensure the seamless integration of new findings as new research is 
conducted or new hypotheses are generated, and to support the generation of novel 
research in the learning sciences.

MORF is a joint project between the etc lab at the University of Michigan School of Information, 
and the University of Pennsylvania Center for Learning Analytics.

