Multi-label compute class weight - unhashable type
$begingroup$
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
asked yesterday
Alex ColombariAlex Colombari
111
New contributor
Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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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
asked yesterday
Alex ColombariAlex Colombari
111
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
asked yesterday
Alex ColombariAlex Colombari
111
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.
$endgroup$
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
python neural-network keras scikit-learn
asked yesterday
Alex ColombariAlex Colombari
111
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 yesterday
Alex ColombariAlex Colombari
111
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 yesterday
Alex ColombariAlex Colombari
111
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 yesterday
Alex ColombariAlex Colombari
111
asked yesterday
Alex ColombariAlex Colombari
111
111
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.
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.
Alex Colombari is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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1 Answer
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$begingroup$
You're seeing this error because your Y_train data is a 2d array, where compute_class_weights expects a 1d array.
compute_class_weights can be used for multiclass classifications, but apparently not multi-label problems like yours.
You could try using compute_sample_weight instead, which is slightly different but handles multi-label output problems such as this.
answered yesterday
Dan CarterDan Carter
5751215
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add a comment |
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1 Answer
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1 Answer
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active
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$begingroup$
You're seeing this error because your Y_train data is a 2d array, where compute_class_weights expects a 1d array.
compute_class_weights can be used for multiclass classifications, but apparently not multi-label problems like yours.
You could try using compute_sample_weight instead, which is slightly different but handles multi-label output problems such as this.
answered yesterday
Dan CarterDan Carter
5751215
$endgroup$
add a comment |
$begingroup$
You're seeing this error because your Y_train data is a 2d array, where compute_class_weights expects a 1d array.
compute_class_weights can be used for multiclass classifications, but apparently not multi-label problems like yours.
You could try using compute_sample_weight instead, which is slightly different but handles multi-label output problems such as this.
answered yesterday
Dan CarterDan Carter
5751215
$endgroup$
add a comment |
$begingroup$
You're seeing this error because your Y_train data is a 2d array, where compute_class_weights expects a 1d array.
compute_class_weights can be used for multiclass classifications, but apparently not multi-label problems like yours.
You could try using compute_sample_weight instead, which is slightly different but handles multi-label output problems such as this.
answered yesterday
Dan CarterDan Carter
5751215
$endgroup$
You're seeing this error because your Y_train data is a 2d array, where compute_class_weights expects a 1d array.
compute_class_weights can be used for multiclass classifications, but apparently not multi-label problems like yours.
You could try using compute_sample_weight instead, which is slightly different but handles multi-label output problems such as this.
answered yesterday
Dan CarterDan Carter
5751215
answered yesterday
Dan CarterDan Carter
5751215
answered yesterday
Dan CarterDan Carter
5751215
answered yesterday
Dan CarterDan Carter
5751215
5751215
add a comment |
add a comment |
Alex Colombari is a new contributor. Be nice, and check out our Code of Conduct.
Alex Colombari is a new contributor. Be nice, and check out our Code of Conduct.
Alex Colombari is a new contributor. Be nice, and check out our Code of Conduct.
Alex Colombari is a new contributor. Be nice, and check out our Code of Conduct.
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