hOBDA

haskell/heuristics Operational Business Decision Algorithm

TODO short project description

This code is the result of a thesis project at Chalmers University of Technology in collaboration with IFS World. The thesis itself is available on request.

Contents

TODO write some stuff here about what each program does and that. For more details and code documentation, see docs/index.html.

Dependencies

• Haskell (http://www.haskell.org)
• HsCharts (https://github.com/wicher/HsCharts)
• Gloss >= 1.2 (http://hackage.haskell.org/package/gloss)
• MonadRandom >= 0.1.8 (http://hackage.haskell.org/package/MonadRandom)

Building

1. Navigate to MachineLearning/Requisitions
2. Choose a project to build (Generate, InsertErrors, RData, Visualize) and navigate to that directory.
3. Run cabal configure
4. Run cabal build

Alternatively, when using bash, run make.sh instead of steps 3 and 4. This will run cabal and create a symlink to the executable to make running the programs a bit easier.

Running

After building, the executables can be found in /dist/build/x/ where x is the name of the project (Generate, InsertErrors, etc). The executables require various command-line arguments. Running it without any arguments will bring up info about the required arguments:

Usage: Visualize csv-file algorithm(A-C)

Usage: InsertErrors original_set_csv
                    num_errors

Usage: Generate num_orders
                num_suppliers
                num_features
                [num_pick_features=1]
                [feature_min=0] [feature_max=100]