When computing the PCA, I always got complexed-value eigenvectors and the direction of the eigenvector is reversed so i cannot pass the test. Can anyone help? Thanks in advanced. below is (pseudo?) code I used to compute eigenvectors for data X calculate meaned data by X_mean = X - X.mean(axis = …

To close the loop on the public thread, everything was correct except one key line of code: when you sort the eigenvectors, remember that they are the columns of the eigen_vecs matrix, not the rows. Check the documentation for np.linalg.eigh to confirm!

C1_W3 assignment compute_pca got complexed-value eigenvectors

Course Q&A Natural Language Processing NLP with Classification and Vector Spaces

paulinpaloalto April 21, 2024, 3:12am 18

This has already been solved on a parallel thread.

2 Likes

Topic		Replies	Views
I am stuck in C1W3 assignment Compute PCA NLP with Classification and Vector Spaces week-module-3	18	494	October 22, 2023
Stuck with dimensions on compute_pca NLP with Classification and Vector Spaces week-module-3	32	899	October 4, 2023
C1W3 Assignment, PCA NLP with Classification and Vector Spaces week-module-3	8	538	July 19, 2023
Natural Language Processing with Classification and Vector Spaces NLP with Classification and Vector Spaces week-module-3	5	63	June 24, 2025
Problem with C1_W3 ex.5 compute_pca NLP with Classification and Vector Spaces week-module-3	4	334	March 1, 2023

C1_W3 assignment compute_pca got complexed-value eigenvectors

Related topics