GitHub - AlexisDrch/Randomized-Optimization: Analysis (adurocher3-analysis.pdf) of four randomized optimization algorithms. Finding NNets weights, and solving non-linear problems.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
ABAGAIL		ABAGAIL
data		data
src		src
.Rhistory		.Rhistory
README.txt		README.txt
adurocher3-analysis.pdf		adurocher3-analysis.pdf

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- code is in /src folder
  - jupyter-notebooks require python 3
  - .py files require jython
Note that the ABAIGAIL.jar should be pointed in each .py files, to access the JAVA classes.


- data generated and pictures are in /src/output/ folder

- data input for Pima dataset are in /data folder

- ABAGAIL library is in /ABAGAIL folder