def test_rnnslu():
    s = {'fold': 3,
         # 5 folds 0,1,2,3,4
         'data': 'atis',
         'lr': 0.0970806646812754,
         'verbose': 1,
         'decay': True,
         # decay on the learning rate if improvement stops
         'win': 7,
         # number of words in the context window
         'nhidden': 200,
         # number of hidden units
         'seed': 345,
         'emb_dimension': 50,
         # dimension of word embedding
         'nepochs': 1, # CHANGED
         'savemodel': False}
    rnnslu.main(s)
Example #2
0
def test_rnnslu():
    s = {'fold': 3,
         # 5 folds 0,1,2,3,4
         'data': 'atis',
         'lr': 0.0970806646812754,
         'verbose': 1,
         'decay': True,
         # decay on the learning rate if improvement stops
         'win': 7,
         # number of words in the context window
         'nhidden': 200,
         # number of hidden units
         'seed': 345,
         'emb_dimension': 50,
         # dimension of word embedding
         'nepochs': 1, # CHANGED
         'savemodel': False}
    rnnslu.main(s)
Example #3
0
def test_rnnslu():
    s = {
        "fold": 3,
        # 5 folds 0,1,2,3,4
        "data": "atis",
        "lr": 0.0970806646812754,
        "verbose": 1,
        "decay": True,
        # decay on the learning rate if improvement stops
        "win": 7,
        # number of words in the context window
        "nhidden": 200,
        # number of hidden units
        "seed": 345,
        "emb_dimension": 50,
        # dimension of word embedding
        "nepochs": 1,  # CHANGED
        "savemodel": False,
    }
    rnnslu.main(s)
def test_rnnslu():
    rnnslu.main()
Example #5
0
def test_rnnslu():
    rnnslu.main()