dimensionality-reductions-jmsv 0.1.0

Package with the PCA, SVD and t-SNE methods for dimensionality reduction

What is it?

dimensionality_reductions_jmsv is a Python package that provides three methods (PCA, SVD, t-SNE) to apply dimensionality reduction to any dataset.

Installing the package

Requests is available on PyPI:

pip install dimensionality_reductions_jmsv

Try your first TensorFlow program

from dimensionality_reductions_jmsv.decomposition import PCA
import numpy as np

X = (np.random.rand(10, 10) * 10).astype(int)
pca = PCA(n_components=2)
X_pca = pca.fit_transform(X)
print("Original Matrix:", '\n', X, '\n')
print("Apply dimensionality reduction with PCA to Original Matrix:", '\n', X_pca)

License

MIT