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0

$begingroup$

Working in a multi-label classification problem with 13 possibles outputs in my neural network with Keras, sklearn, etc...

Each output can be an array like [0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1 ,0].

I have an imbalance dataset and i trying to apply compute_class_weight method, like:

class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

When i try to run my code, i got Unhashable Type: 'numpy.ndarray':

Traceback (most recent call last):

 File "main.py", line 115, in <module>

   train(dataset, labels)

 File "main.py", line 66, in train

   class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

 File "/home/python-env/env/lib/python3.6/site-packages/sklearn/utils/class_weight.py", line 41, in compute_class_weight

  if set(y) - set(classes):

  TypeError: unhashable type: 'numpy.ndarray'

I know that is because i working with arrays, already tried add some dict,

i.e.:

class_weight_dict = dict(enumerate(np.unique(y_train), class_weight))

Well, i don't know what to do, tried others strategies, but no success... Any ideas?

Thanks in advance!

python neural-network keras scikit-learn

share|improve this question

asked 1 hour ago

Alex ColombariAlex Colombari

1

New contributor

Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

0

$begingroup$

Working in a multi-label classification problem with 13 possibles outputs in my neural network with Keras, sklearn, etc...

Each output can be an array like [0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1 ,0].

I have an imbalance dataset and i trying to apply compute_class_weight method, like:

class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

When i try to run my code, i got Unhashable Type: 'numpy.ndarray':

Traceback (most recent call last):

 File "main.py", line 115, in <module>

   train(dataset, labels)

 File "main.py", line 66, in train

   class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

 File "/home/python-env/env/lib/python3.6/site-packages/sklearn/utils/class_weight.py", line 41, in compute_class_weight

  if set(y) - set(classes):

  TypeError: unhashable type: 'numpy.ndarray'

I know that is because i working with arrays, already tried add some dict,

i.e.:

class_weight_dict = dict(enumerate(np.unique(y_train), class_weight))

Well, i don't know what to do, tried others strategies, but no success... Any ideas?

Thanks in advance!

python neural-network keras scikit-learn

share|improve this question

asked 1 hour ago

Alex ColombariAlex Colombari

1

New contributor

Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

$begingroup$

Working in a multi-label classification problem with 13 possibles outputs in my neural network with Keras, sklearn, etc...

Each output can be an array like [0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1 ,0].

I have an imbalance dataset and i trying to apply compute_class_weight method, like:

class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

When i try to run my code, i got Unhashable Type: 'numpy.ndarray':

Traceback (most recent call last):

 File "main.py", line 115, in <module>

   train(dataset, labels)

 File "main.py", line 66, in train

   class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

 File "/home/python-env/env/lib/python3.6/site-packages/sklearn/utils/class_weight.py", line 41, in compute_class_weight

  if set(y) - set(classes):

  TypeError: unhashable type: 'numpy.ndarray'

I know that is because i working with arrays, already tried add some dict,

i.e.:

class_weight_dict = dict(enumerate(np.unique(y_train), class_weight))

Well, i don't know what to do, tried others strategies, but no success... Any ideas?

Thanks in advance!

python neural-network keras scikit-learn

share|improve this question

asked 1 hour ago

Alex ColombariAlex Colombari

1

New contributor

Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

Traceback (most recent call last):

 File "main.py", line 115, in <module>

   train(dataset, labels)

 File "main.py", line 66, in train

   class_weight = compute_class_weight('balanced', np.unique(Y_train), Y_train)

 File "/home/python-env/env/lib/python3.6/site-packages/sklearn/utils/class_weight.py", line 41, in compute_class_weight

  if set(y) - set(classes):

  TypeError: unhashable type: 'numpy.ndarray'

class_weight_dict = dict(enumerate(np.unique(y_train), class_weight))

share|improve this question

asked 1 hour ago

Alex ColombariAlex Colombari

1

New contributor

Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked 1 hour ago

Alex ColombariAlex Colombari

1

New contributor

Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 1 hour ago

Alex ColombariAlex Colombari

1

New contributor

Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 1 hour ago

Alex ColombariAlex Colombari

1