wehub-resource-sync
19 lines
486 B
Python
19 lines
486 B
Python
from __future__ import print_function
|
|
from sklearn import datasets
|
|
import numpy as np
|
|
|
|
from mlfromscratch.supervised_learning import MultiClassLDA
|
|
from mlfromscratch.utils import normalize
|
|
|
|
def main():
|
|
# Load the dataset
|
|
data = datasets.load_iris()
|
|
X = normalize(data.data)
|
|
y = data.target
|
|
|
|
# Project the data onto the 2 primary components
|
|
multi_class_lda = MultiClassLDA()
|
|
multi_class_lda.plot_in_2d(X, y, title="LDA")
|
|
|
|
if __name__ == "__main__":
|
|
main() |