Sklearn Preprocessing -- *** TypeError: No matching signature found

Question

I am trying to normalize a CSR matrix,

but I get this error: (*** TypeError: No matching signature found).

from sklearn.preprocessing import normalize
normalize(x_m, norm="l2", axis=1)

The matrix is 609186x849632 sparse matrix of type 'numpy.float16' with 189140200 stored elements in Compressed Sparse Row format

Answer 1

Actually I solved the problem. I think it is because of the data type. Changing np.float16 to np.float32 , solved the problem. I do not know why, this problem only happens with np.float16 data type.

Answer 2

from sklearn.preprocessing import normalize

columns_changed = []

for col in df.columns:
    col_type = x_m[col].dtypes
    if col_type == 'float16':
      columns_changed.append(col)
      x_m[col] = x_m[col].astype(np.float32)

normalize(x_m, norm="l2", axis=1)

for col in columns_changed:
  x_m[col] = x_m[col].astype(np.float16)

x_m