In [1]:

    

from pml.api import *


    

In [2]:

    

training = load("../dataset_ext2.csv")
training.combine_labels(["s", "p"], "s")


    

In [3]:

    

classifier = Knn(training, k=3)


    

In [4]:

    

classifier.classify({
    "MATH100": 5,
    "MATH101": 5,
    "MATH110": 5,
    "CSC111": 5,
    "CSC115": 5,
    "PHYS122": 5,
    "PHYS125": 5,
    "MECH141": 5,
    "CHEM150": 5,
    "ENGL135": 5,
    "ELEC199": 5,
    "ENGR110": None,
    "ENGR120": None
})


    

    
Out[4]:





's'

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