going to use this branch to re make this program in go using the gota

switching back to bas64 encoding/decoding with image byte data

re formatting the api to contain the image bytes in json

stuck

changing the get plot route to return bytes of the image

creating the plot endpoint for getting result images

fixing typos

think I might have to programatically create the path for the images ...

think I was right??

think I have to specify the full path??

more typos

fixing simple typo

instead of returning the image bytes to the api user, we are moving towards hosting them on the backend but we need to be careful moving forwards and make sure that we delete the images after use

got changes working on postman

readme

splitting up rest api functionality to make more readable

reverting more code back to python 3 syntax

having to retract to pyhton 3.7 syntax for render

scikit learn

requirements

updating requirements

back to app.py

getting rid of some more problematic type hints

railway did not like my type hinting

think I have to change it to main .py not app.py for railway

trying without dockerfile

re adding the get request again

server is blocking reqeusts, trying to change cors arguments and stuff

making it only accept post reqeusts

debug false

clustering plot for kmeans

requirements

making better loss history / epoch plot

savving memory with close fig

switching to png

think that the way we had teh plot function setup may have been causing some problems with buffers in the cloud

believe to have created a function to build a svg plot and send it over the network

adding cors support for this api because we are starting to work on our web application

fixing bug with algorithm as an argument for clustering, this was breaking the neural network endpoint

kmeans is ready for deployment

kmeans with example plot done and ready for deployment

moving on from kmeans to kmedoids

kmeans clustering works and returns centroids and labeled data

v1 of kmean may be complete

think I am done with build func

leaving off here, working on kmeans algorithm

working on kmeans

updating gitignore

starting work with clustering algorithms

python example for creating a plot of loss history over time for neural_network