Ejemplos de cython_natural_filter_forward en Python

Ejemplo n.º 1

def cython_natural_lds_sample(natparam, node_params, num_samples=1):
    init_params, pair_params = natparam
    forward_messages, _ = cython_natural_filter_forward(
        init_params, pair_params, node_params)
    samples = cython_natural_sample_backward(forward_messages, pair_params,
                                             num_samples)
    return samples

Ejemplo n.º 2

def cython_natural_lds_estep_general(natparam, node_params):
    init_params, pair_params = natparam
    forward_messages, lognorm = cython_natural_filter_forward(
        init_params, pair_params, node_params)
    expected_stats = cython_natural_smoother_general(forward_messages,
                                                     pair_params)
    return lognorm, expected_stats

Ejemplo n.º 3

Archivo: lds_inference.py Proyecto: WuCPMark/svae

def cython_natural_lds_inference_general(natparam, node_params, num_samples=1):
    init_params, pair_params = natparam
    forward_messages, lognorm = cython_natural_filter_forward(
        init_params, pair_params, node_params)
    expected_stats = cython_natural_smoother_general(forward_messages, pair_params)
    samples = cython_natural_sample_backward(forward_messages, pair_params, num_samples)
    return samples, expected_stats, lognorm

Ejemplo n.º 4

def cython_natural_lds_inference_general(natparam, node_params, num_samples=1):
    init_params, pair_params = natparam
    forward_messages, lognorm = cython_natural_filter_forward(
        init_params, pair_params, node_params)
    expected_stats = cython_natural_smoother_general(forward_messages,
                                                     pair_params)
    samples = cython_natural_sample_backward(forward_messages, pair_params,
                                             num_samples)
    return samples, expected_stats, lognorm

Ejemplo n.º 5

Archivo: lds_inference.py Proyecto: WuCPMark/svae

def cython_natural_lds_sample(natparam, node_params, num_samples=1):
    init_params, pair_params = natparam
    forward_messages, _ = cython_natural_filter_forward(init_params, pair_params, node_params)
    samples = cython_natural_sample_backward(forward_messages, pair_params, num_samples)
    return samples

Ejemplo n.º 6

Archivo: lds_inference.py Proyecto: WuCPMark/svae

def cython_natural_lds_estep_general(natparam, node_params):
    init_params, pair_params = natparam
    forward_messages, lognorm = cython_natural_filter_forward(
        init_params, pair_params, node_params)
    expected_stats = cython_natural_smoother_general(forward_messages, pair_params)
    return lognorm, expected_stats