Lda scikit learn

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]]))

Source: scikit-learn.org

Scikit learn lda

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)

Similar codes

0 vote297 views1 answer
Find the 15th term of the series?0,0,7,6,14,12,21,18, 28
Python
0 vote288 views1 answer
Do while python using dates
Python
2 votes255 views1 answer
Python ridge regression
Python
1 vote284 views1 answer
Python convert string to sentence case
Python
5 votes303 views5 answers
Python string format
Python
0 vote285 views1 answer
Get all different element of both list python
Python
0 vote307 views1 answer
How to redirect in django rest framework
Python
0 vote308 views1 answer
Checking if a string is in alphabetical order in python
Python
0 vote281 views1 answer
How to hack using python
Python
5 votes300 views1 answer
Python pyautogui how to change the screenshot location
Python