pnpnpn/dna2vec

Issues

• How to train word embedding with dimensions less than 100

  #29 opened a year ago by 15831959673
  0

• Increasing the embedding vector from 100 to 200

  #28 opened a year ago by armanzeynab
  0

• Encoding longer sequences

  #21 opened 3 years ago by ashenflower
  5

• Incorrect embedding dimension after training

  #26 opened 2 years ago by BinchaoPeng
  4

• ImportError: cannot import name 'Mapping' from 'collections'

  #27 opened 2 years ago by markfansjsu006
  1

• AttributeError: 'Word2Vec' object has no attribute 'wv'

  #25 opened 2 years ago by BinchaoPeng
  1

• Why I failed after followed all the steps with none gived a error.

  #23 opened 3 years ago by antping
  1

• mm10

  #19 opened 4 years ago by jksr
  0

• length longest string I can encode

  #12 opened 5 years ago by jdiez
  0

• DeprecationWarning("Deprecated. Use model.wv.save_word2vec_format instead."

  #11 opened 5 years ago by sergeman
  0

• model = super(BaseWordEmbeddingsModel, cls).load(*args, **kwargs) TypeError: load() missing 1 required positional argument: 'fname_or_handle'

  #10 opened 5 years ago by SkAdilina
  0

• dna2vec against large dataset

  #9 opened 6 years ago by dmachi
  1

• DeprecationWarning: Deprecated. Use gensim.models.KeyedVectors.load_word2vec_format instead.

  #8 opened 6 years ago by ali-kishk
  2

• Pretrained set?

  #2 opened 8 years ago by stanleyjs
  3

• Pre-image / component mapping?

  #3 opened 8 years ago by stanleyjs
  6

• installation/training fails unless run from scripts folder

  #4 opened 8 years ago by stanleyjs
  2