Vehicle-Anti-Theft-Face-Rec.../venv/Lib/site-packages/sklearn/utils/_mask.py

19 lines
570 B
Python

import numpy as np
from . import is_scalar_nan
from .fixes import _object_dtype_isnan
def _get_mask(X, value_to_mask):
"""Compute the boolean mask X == value_to_mask."""
if is_scalar_nan(value_to_mask):
if X.dtype.kind == "f":
return np.isnan(X)
elif X.dtype.kind in ("i", "u"):
# can't have NaNs in integer array.
return np.zeros(X.shape, dtype=bool)
else:
# np.isnan does not work on object dtypes.
return _object_dtype_isnan(X)
else:
return X == value_to_mask