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 vote332 views2 answers
Set cookie in python requests
Python
2 votes291 views1 answer
How to import and use functions in another code in python
Python
10 votes358 views1 answer
Hypixel main ip
Python
1 vote348 views1 answer
How to set up dataframe from csv
Python
-1 vote327 views1 answer
ModuleNotFoundError: No module named 'scipy'
Python
6 votes399 views1 answer
Write a Python program to append text to a file and display the text.
Python
2 votes358 views1 answer
Predicate
Python
4 votes361 views3 answers
How to append variable in Python
Python
1 vote333 views1 answer
Kaaba python tutorial
Python
0 vote340 views1 answer
How to install tensorflow on windows cpu
Python