1456d22014c7c32e26c799bd1864217dca589892,pyroomacoustics/recognition.py,HMM,fit,#HMM#Any#Any#Any#Any#,224

Before Change

        """

        // Initialize all parameters
        if init_func is None:
            self.emission = self.emission_class(self.K, examples=examples) 
            self.initialize(examples[0].shape[1])
        else:
            self.pi = np.zeros((self.K))
            self.A = np.zeros((self.K, self.K))
            self.emission = self.emission_class(self.K, odim=examples[0].shape[1])
            init_func(self.A, self.pi, self.emission, examples)

        // Run the EM algorithm
        loglikelihood_old = -np.inf // log-likelihood
        n_iter = 0
        while True:

After Change

            //--------------------------
            n_iter += 1
            epsilon = loglikelihood - loglikelihood_old
            if verbose:
                print("Iterations:", n_iter, "epsilon:", epsilon, "LL_new:", loglikelihood)

            // some checks here
            if epsilon < tol:
                if verbose:
                    print("Tolerance reached: stopping.")
                break

Instances