47c8e9c89f0fea96066d87cd5152834ab4a04132,openTSNE/initialization.py,,pca,#,38

Before Change

    embedding = pca_.fit_transform(X)

    // The PCA embedding may have high variance, which leads to poor convergence
    normalization = np.std(embedding[:, 0])
    normalization /= 0.0001
    embedding /= normalization

    timer.__exit__()

After Change

        n_components=n_components, svd_solver=svd_solver, random_state=random_state
    )
    embedding = pca_.fit_transform(X)
    rescale(embedding, inplace=True)

    timer.__exit__()

    return np.ascontiguousarray(embedding)

Instances