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utils

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pranavbrkr 2023-10-13 16:29:22 -07:00
parent 950d4237b3
commit a5b877b6a3
1 changed files with 2 additions and 2 deletions
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Phase 2/utils.py
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@ -878,7 +878,7 @@ def extract_latent_semantics_from_feature_model(
# singular value decomposition
# sparse version of SVD to get only k singular values
case 1:
U, S, V_T = svd(feature_vectors, k=k)
U, S, V_T = svds(feature_vectors, k=k)
all_latent_semantics = {
"image-semantic": U.tolist(),
@ -1246,4 +1246,4 @@ def compute_cp_decomposition(fd_collection, feature_model, rank):
data_tensor[id, :, label] = all_images[id][feature_model]
weights_tensor, factor_matrices = tl.decomposition.parafac(data_tensor, rank=rank, normalize_factors=True)
return weights_tensor, factor_matrices
return weights_tensor, factor_matrices