Sklearn 선형판별분석

1 개요

sklearn 선형판별분석

Sklearn.discriminant analysis

import numpy as np
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])
y = np.array([1, 1, 1, 2, 2, 2])
clf = LinearDiscriminantAnalysis()
print( clf.fit(X, y) )
# LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
#               solver='svd', store_covariance=False, tol=0.0001)
print( clf.predict([[-0.8, -1]]) )
# [1]

2 같이 보기

• 선형판별분석 LDA

3 참고

• http://scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html