from1hot

ketos.data_handling.data_handling.from1hot(value)

Converts the one hot label to binary format

Args:

value: scalar or numpy.array | int or float

The label to be converted.

Returns:

output: int or numpy array (dtype=int64)

An int representing the category if ‘value’ has 1 dimension or an array of m ints if values is an n by m array.

Example:

>>> from ketos.data_handling.data_handling import from1hot
>>>
>>> from1hot(np.array([0,0,0,1,0]))
3
>>> from1hot(np.array([[0,0,0,1,0],
...   [0,1,0,0,0]]))
array([3, 1])