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KNN is a multiclass classifier that we have to implement in order to distinguish between a net sample we just added and the data we already have.
We have to declare a function the get x_train, y_train and sample and make the calculations regarding the distance function that was tranaferd to us as input by the client

Creating new brance and habdle the procees and the work flow through those 2 brancehs we just made in order to manage the work in a right way

In order to be able to read the data from the CSV file we have to create a Data Generator class that will be able to access the information (x_train, y_train) that exist on the CSV files.
In order to implement this issue we have to deploy Class that acheive the data and make a placement for this data into inner params in the code in order we will be able to convey this data through different components within this code

good luck bro!

We have to refactor the code from Ex1