Convert_to_one_hot not supported?

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

When I try to implement in my local environment

Y_train = convert_to_one_hot(Y_train, 10).T

I get :

NameError: name ‘convert_to_one_hot’ is not defined

I have imported all the basic packages and more
What should I install to get convert_to_one_hot working?

2

Answer to myself. I found resnets_utils, the convert function is there. I also found a more robust conversion routine as follows

def convertToOneHot(vector, num_classes=None):
“”"
Converts an input 1-D vector of integers into an output
2-D array of one-hot vectors, where an i’th input value
of j will set a ‘1’ in the i’th row, j’th column of the
output array.

"""

assert isinstance(vector, np.ndarray)
assert len(vector) > 0

if num_classes is None:
    num_classes = np.max(vector)+1
else:
    assert num_classes > 0
    assert num_classes >= np.max(vector)

result = np.zeros(shape=(len(vector), num_classes))
result[np.arange(len(vector)), vector] = 1
return result.astype(int)