danielelic / deep-casas Goto Github PK

Hi,
when I want to run "train.py --v lstm" I have this error, ValueError: Supported target types are: ('binary', 'multiclass'). Got 'unknown' instead.
can you guide me on how to fix it?
thank you.

As I understand, you ignore the irregular timing (time-lags as in your paper says) between sensor events and you feed the sensor values (binary-value vector) to LSTM, is that correct?

Hello everybody,

I have installed: Python 3.5.2, numpy==1.14.1, tensorflow==1.3.0, scikit-learn==0.19.0, keras==2.1.5 and h5py.

The following scripts run fine:
python train.py --v LSTM
python train.py --v biLSTM
python train.py --v CascadeLSTM

Nevertheless, when I run ensembles i.e.:
python train.py --v Ensemble2LSTM or
python train.py --v CascadeEnsembleLSTM

I get the following error message:
Traceback (most recent call last):
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\client\session.py", line 1327, in _do_call
return fn(*args)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\client\session.py", line 1306, in _run_fn
status, run_metadata)
File "C:\Users\u24t06\AppData\Local\Programs\Python\Python35\lib\contextlib.py", line 66, in exit
next(self.gen)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[0,1363] = 9 is not in [0, 2)
[[Node: embedding_2/Gather = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](embedding_2/embeddings/read, embedd
ing_2/Cast)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 93, in
callbacks=[csv_logger, model_checkpoint])
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\models.py", line 963, in fit
validation_steps=validation_steps)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\engine\training.py", line 1705, in fit
validation_steps=validation_steps)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\engine\training.py", line 1235, in _fit_loop
outs = f(ins_batch)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\backend\tensorflow_backend.py", line 2478, in call
**self.session_kwargs)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\client\session.py", line 895, in run
run_metadata_ptr)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\client\session.py", line 1124, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\client\session.py", line 1321, in _do_run
options, run_metadata)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\client\session.py", line 1340, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[0,1363] = 9 is not in [0, 2)
[[Node: embedding_2/Gather = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](embedding_2/embeddings/read, embedd
ing_2/Cast)]]

Caused by op 'embedding_2/Gather', defined at:
File "train.py", line 66, in
model = models.get_Ensemble2LSTM(input_dim, units, data.max_lenght, no_activities)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\models.py", line 38, in get_Ensemble2LSTM
model2.add(Embedding(input_dim, output_dim, input_length=max_lenght, mask_zero=True))
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\models.py", line 467, in add
layer(x)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\engine\topology.py", line 619, in call
output = self.call(inputs, **kwargs)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\layers\embeddings.py", line 138, in call
out = K.gather(self.embeddings, inputs)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\keras\backend\tensorflow_backend.py", line 1211, in gather
return tf.gather(reference, indices)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\ops\array_ops.py", line 2409, in gather
validate_indices=validate_indices, name=name)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 1219, in gather
validate_indices=validate_indices, name=name)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\framework\ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\Users\u24t06\Desktop\Experiments\Experiment_5_1\venv\lib\site-packages\tensorflow\python\framework\ops.py", line 1204, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): indices[0,1363] = 9 is not in [0, 2)
[[Node: embedding_2/Gather = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](embedding_2/embeddings/read, embedd
ing_2/Cast)]]

Does anyone know how to fix this error?

Thank you