EASE (Enhanced AI Scoring Engine) is a library that allows for machine learning based classification of textual content. This is useful for tasks such as scoring student essays.
Turns out that mixing test requirements with the other requirements caused the edx-platform tests to fail in a really bizarre way :) This PR reorganizes the requirements files:
1) pre-requirements.txt: Installs numpy, which cannot be installed in the same pip install call as scipy.
2) requirements.txt: All requirements, including the ones that take a long time to compile from source (scipy/numpy, etc.)
3) base-requirements.txt: Subset of requirements that install quickly; in Travis, use pre-compiled binaries instead for the ones that are missing.
4) dev-requirements.txt Test and doc requirements.
Turns out that mixing test requirements with the other requirements caused the edx-platform tests to fail in a really bizarre way :) This PR reorganizes the requirements files:
1)
pre-requirements.txt
: Installs numpy, which cannot be installed in the samepip install
call as scipy. 2)requirements.txt
: All requirements, including the ones that take a long time to compile from source (scipy/numpy, etc.) 3)base-requirements.txt
: Subset of requirements that install quickly; in Travis, use pre-compiled binaries instead for the ones that are missing. 4)dev-requirements.txt
Test and doc requirements.@singingwolfboy