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ermongroup / Wifi_Activity_Recognition

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
GNU General Public License v3.0
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Found input variables with inconsistent numbers of samples: [404, 400] #11

Closed noorye4 closed 5 years ago

noorye4 commented 5 years ago

I execute "cross_vali_recurrent_network_wifi_activity.py" and I got some error λ python cross_vali_recurrent_network_wifi_activity.py C:\Users\ks812\Anaconda3\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype fromfloattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters WARNING:tensorflow:From cross_vali_recurrent_network_wifi_activity.py:79: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version. Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow into the labels input on backprop by default.

See @{tf.nn.softmax_cross_entropy_with_logits_v2}.

csv file importing... bed finished... xx= (657, 500, 90) yy= (657, 8) fall finished... xx= (443, 500, 90) yy= (443, 8) pickup finished... xx= (495, 500, 90) yy= (495, 8) run finished... xx= (1209, 500, 90) yy= (1209, 8) sitdown finished... xx= (404, 500, 90) yy= (400, 8) standup finished... xx= (304, 500, 90) yy= (304, 8) walk finished... xx= (1465, 500, 90) yy= (1465, 8) bed = 657 fall= 443 pickup = 495 run= 1209 sitdown= 404 standup= 304 walk= 1465 Traceback (most recent call last): File "cross_vali_recurrent_network_wifi_activity.py", line 102, in x_sitdown, y_sitdown = shuffle(x_sitdown, y_sitdown, random_state=0) File "C:\Users\ks812\Anaconda3\lib\site-packages\sklearn\utils__init.py", line 343, in shuffle return resample(*arrays, **options) File "C:\Users\ks812\Anaconda3\lib\site-packages\sklearn\utils\init__.py", line 258, in resample check_consistent_length(*arrays) File "C:\Users\ks812\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 204, in check_consistent_length " samples: %r" % [int(l) for l in lengths]) ValueError: Found input variables with inconsistent numbers of samples: [404, 400]`

My Tensorflow (GPU) version is 1.10.0

Hirokazu-Narui commented 5 years ago

Sorry for the inconvinience. Please replace this fileannotation_sankalp_sitdown_6.csv insetead of Dataset one.