Home
last modified time | relevance | path

Searched refs:log_resp (Results 1 – 4 of 4) sorted by relevance

/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/mixture/
H A D_base.py258 log_prob_norm, log_resp = self._e_step(X)
259 self._m_step(X, log_resp)
292 _, log_resp = self._e_step(X)
294 return log_resp.argmax(axis=1)
312 log_prob_norm, log_resp = self._estimate_log_prob_resp(X)
313 return np.mean(log_prob_norm), log_resp
316 def _m_step(self, X, log_resp): argument
409 _, log_resp = self._estimate_log_prob_resp(X)
410 return np.exp(log_resp)
534 log_resp = weighted_log_prob - log_prob_norm[:, np.newaxis]
[all …]
H A D_bayesian_mixture.py730 def _m_step(self, X, log_resp): argument
744 X, np.exp(log_resp), self.reg_covar, self.covariance_type
786 def _compute_lower_bound(self, log_resp, log_prob_norm): argument
839 -np.sum(np.exp(log_resp) * log_resp)
H A D_gaussian_mixture.py733 def _m_step(self, X, log_resp): argument
746 X, np.exp(log_resp), self.reg_covar, self.covariance_type
/dports/ftp/lftp/lftp-4.9.2/src/
H A DChangeLog3826 * ftpclass.h, ftpclass.cc: drop log_resp and result; use data_iobuf