maxfuse.utils.svd_embedding

maxfuse.utils.svd_embedding(arr, n_components=20, randomized=False, n_runs=1)

Compute rank-n_components SVD embeddings of arr.

Parameters:

• arr (np.array of shape (n_samples, n_features)) – Data matrix

• n_components (int, default=20) – Number of components to keep

• randomized (bool, default=False) – Whether to use randomized SVD

• n_runs (int, default=1) – Run multiple times and take the realization with the lowest Frobenious reconstruction error

Returns:

embeddings (array_like of shape (n_samples, n_components)) – Rank-n_comopnents SVD embedding of arr.