AIND- Sign_language_recognition

Question

我正在 GitHub 上研究手语识别，https://github.com/udacity/AIND-Recognize 这里提供。

我在模型选择量规上遇到问题。当我在那里运行这个单元格时

import warnings 
from hmmlearn.hmm import GaussianHMM
def train_a_word(word, num_hidden_states, features):
    warnings.filterwarnings("ignore", category=DeprecationWarning)
    training = asl.build_training(features)  
    X, lengths = training.get_word_Xlengths(word)
    model = GaussianHMM(n_components=num_hidden_states, n_iter=1000).fit(X, lengths)
    logL = model.score(X, lengths)
    return model, logL
demoword = 'BOOK'
model, logL = train_a_word(demoword, 3 , features=features_ground)
print("Number of states trained in model for {} is {}".format(demoword, model.n_components))
print("logL = {}".format(logL))

我有这个错误：

TypeError Traceback (most recent call last) in () 12  13 demoword = 'BOOK' ---> 14 model, 
  logL = train_a_word(demoword, 3 , features=features_ground) 15 print("Number of states 
  trained in model for {} is {}".format(demoword, model.n_components)) 
  16 print("logL = {}".format(logL)) in train_a_word(word, num_hidden_states, features) 
  7 training = asl.build_training(features) 8 X, lengths = training.get_word_Xlengths(word) 
  ----> 9 model = GaussianHMM(n_components=num_hidden_states, n_iter=1000).fit(X, lengths) 
  10 logL = model.score(X, lengths) 11 return model, logL
TypeError: fit() takes 2 positional arguments but 3 were given

我想不通，我想提一下，我们不应该修改这个单元格。

Answer 1

问题是由您的线路引起的

model = GaussianHMM(n_components=num_hidden_states, n_iter=1000).fit(X, lengths)

要解决此问题，请执行以下操作：
更改fit(X, lengths=lengths)的fit(X, lengths)

请参阅hmmlearn文档
关于论点的可能有用的答案

Answer 2

尝试更新你的依赖项，特别是hmmlearn和scikit-learn。您可以在此处找到完整的项目以供将来参考：https://github.com/llSeedll/Udacity-AIND/tree/master/Project%204%20-%20ASLRecognizer