sklearn PCA.transform gives different results for different trials

Question

I am doing some PCA using sklearn.decomposition.PCA. I found that if the input matrix X is big, the results of two different PCA instances for PCA.transform will not be the

Answer 1

I had a similar problem even with the same trial number but on different machines I was getting different result setting the svd_solver to 'arpack' solved the problem