Scikit learn lda

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

2 votes140 views2 answers
Find prime number in given range in python
Python
0 vote134 views1 answer
Inspect last 5 rows of dataframe
Python
2 votes138 views1 answer
Get distance between 2 multidimentional point in python
Python
1 vote137 views1 answer
F string round
Python
0 vote130 views1 answer
Check if back is pressed python
Python
0 vote156 views1 answer
Print dataframe row horizontally
Python
1 vote153 views1 answer
How to use one with as statement to open two files python
Python
0 vote136 views1 answer
Python pseudocode for loops
Python
1 vote151 views1 answer
Python __version__
Python
0 vote182 views1 answer
Run django using nssm
Python Django