Machine learning implementation for cms

see cloudmesh.cmd5

• https://github.com/cloudmesh/cloudmesh.cmd5

• Further develop use of input file i.e. read in line by line and assign each line to a value currently it just takes the first line.

• MOST Critical set up the post to put new data into set

• Create use of input files for SVM

• Implement def for normalization

• Create use of input file for knn

• Finish NN implementation

• Implement a decision tree to choose experiment

• Instead of just reading in a csv it would make sense to to read in csv and put in the mongoDB then we can add new data to DB

Identify the useful end points for data gathering and exploring here. Currently the user most add a data dir before the download will execute.

Clean up files and mke seperate .py files for each experiment, currently they are all wrapped up in one file that is not named in a useful way.

Currently the service takes a downloadble csv file--need to provide how to do this with google drive.

localhost:8080/project19/data/output/<output>

Where the argument inside the <> is what you want to name you file.