Getting Started

Case Recommender is hosted at Github and Pypi repositories and it is freely available for developers and the scientific community to use, test and contribute under MIT license. Our framework is implemented in Python with scientific environments for numerical applications such as NumPy and Scipy. Using these free and open-source libraries, it can be used on the most popular operating systems. To install Case Recommender on Mac OS X, Windows or Linux, the following command will work for developers and users:

$ pip install caserecommender

If you want to run the latest version of the code, you can install from git:

$ pip install -U git+git://github.com/caserec/CaseRecommender.git

Case Recommender comes with instructions that allow users to train and evaluate all available recommenders on data provided in text files. When a new recommender is added into the framework, it is automatically detected, so developers do not have to manually add new features into the programs, only use the command import in Python.

See manual and examples for more info.