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

0 vote141 views1 answer
Django-mathfilters
Python Django
3 votes152 views1 answer
Import "decouple" could not be resolved Pylance
Python
4 votes99 views2 answers
Mysql.connector.errors.NotSupportedError: Authentication plugin 'caching_sha2_password' is not supported
Python
1 vote137 views1 answer
Implicit conversion in python example
Python
0 vote109 views1 answer
Odoo sorted
Python
3 votes107 views3 answers
Run python from c#
Python
1 vote101 views1 answer
Continue reading lines until there is no more input python
Python
12 votes104 views6 answers
Pandas drop duplicates
Python
0 vote106 views1 answer
Python detect warning
Python
3 votes106 views1 answer
Python not equal to
Python