Hi,
When I read a code snippet below, I find I don't know what 'self.framelogprob'
is on the child class.
////// parent class
class _BaseHMM(BaseEstimator):
def __init__(self, n_components=1,
startprob_prior=1.0, transmat_prior=1.0,
algorithm="viterbi", random_state=None,
n_iter=10, tol=1e-2, verbose=False,
params=string.ascii_letters,
init_params=string.ascii_letters):
self.n_components = n_components
......
def score_samples(self, X, lengths=None):
X = check_array(X)
n_samples = X.shape[0]
logprob = 0
posteriors = np.zeros((n_samples, self.n_components))
for i, j in iter_from_X_lengths(X, lengths):
framelogprob = self._compute_log_likelihood(X[i:j])
.......
return logprob, posteriors
////// child class
class StubHMM(_BaseHMM):
def _compute_log_likelihood(self, X):
return self.framelogprob
-------------
On Python web, it says that things after dot, such as a class name, are
attributes. From this definition, 'framelogprob' is an attribute. But when
I run the command on Canopy:
h.framelogprob
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-19-970ee2f3402c> in <module>()
----> 1 h.framelogprob
AttributeError: 'StubHMM' object has no attribute 'framelogprob'
it doesn't recognize it as an attribute. What is wrong with my
understanding?
Thanks,
--
https://mail.python.org/mailman/listinfo/python-list
