Not a single example in README is running properly.

[estathop]

I tried to execute every single example from the initial README page, but everything throws different errors.

transformer = Seq2VecR2RWord(
    word2vec_model=word2vec,
    max_length=max_length,
    latent_size=200,
    encoding_size=300,
    learning_rate=0.05
)
Traceback (most recent call last):

  File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
    learning_rate=0.05

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
    learning_rate=learning_rate

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
    self.model, self.encoder = self.create_model()

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
    )(masked_inputs)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
    return super(Bidirectional, self).__call__(inputs, **kwargs)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
    output = self.call(inputs, **kwargs)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
    func_args = inspect.getfullargspec(self.layer.call).args

AttributeError: 'module' object has no attribute 'getfullargspec'

from seq2vec import Seq2VecR2RHash

transformer = Seq2VecR2RHash(
    max_index=1000,
    max_length=10,
    latent_size=20,
    embedding_size=200,
    encoding_size=300,
    learning_rate=0.05
)

Traceback (most recent call last):

  File "<ipython-input-38-0274b84666d1>", line 9, in <module>
    learning_rate=0.05

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
    learning_rate

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
    self.model, self.encoder = self.create_model()

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
    )(char_embedding)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
    return super(Bidirectional, self).__call__(inputs, **kwargs)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
    output = self.call(inputs, **kwargs)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
    func_args = inspect.getfullargspec(self.layer.call).args

AttributeError: 'module' object has no attribute 'getfullargspec'

In [37]: transformer = Seq2VecC2RChar(
      word2vec_model=word2vec,
      max_index=1000,
      max_length=20,
      embedding_size=200,
      latent_size=200,
      learning_rate=0.05,
      channel_size=10,
      conv_size=5
)

Traceback (most recent call last):

  File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
    conv_size=5

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
    learning_rate

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
    self.model, self.encoder = self.create_model()

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
    )(encoded_feature)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
    output = self.call(inputs, **kwargs)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
    constants = self.layer.get_constants(inputs, training=None)

  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
    constants = self.recurrent_layer.get_constants(

AttributeError: 'LSTM' object has no attribute 'get_constants'

[estathop]

and I am sure I have installed those correctly: pylint numpy tensorflow keras==2.0.8 yoctol_utils gensim==3.1.0 h5py yoctol_keras_layer_zoo

[SoluMilken]

Please use python 3.5 or above.