scikit learn lda

Do you want to know the details about “scikit learn lda”. If yes, you’re in the correct tutorial.

scikit learn lda

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()
clf.fit(X, y)

print(clf.predict([[-0.8, -1]]))
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
lda = LDA(n_components = 2)
X_train = lda.fit_transform(X_train, y_train)
X_test = lda.transform(X_test)

Conclusion

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Hi, I'm Ranjith a full-time Blogger, YouTuber, Affiliate Marketer, & founder of Coder Diksha. Here, I post about programming to help developers.

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