Ejemplos de PfModel.add_observation_matrix en Python

Ejemplo n.º 1

    def _create_model(self, obs, pred):
        m = PfModel()
        for f in pred:
            name = f.split('/')[-1].split('.')[0]
            with open(f, 'r') as a:
                m.add_prediction_matrix(name, np.loadtxt(a))

        for f in obs:
            name = f.split('/')[-1].split('.')[0]
            with open(f, 'r') as a:
                m.add_observation_matrix(name, np.loadtxt(a))

        return m.get()

Ejemplo n.º 2

Archivo: pf_tester.py Proyecto: Raziel90/strands_qsr_lib

    def _create_model(self, obs, pred):
        m = PfModel()
        for f in pred:
            name = f.split('/')[-1].split('.')[0]
            with open(f, 'r') as a:
                m.add_prediction_matrix(name, np.loadtxt(a))

        for f in obs:
            name = f.split('/')[-1].split('.')[0]
            with open(f, 'r') as a:
                m.add_observation_matrix(name, np.loadtxt(a))

        return m.get()

Ejemplo n.º 3

Archivo: example_pf_client.py Proyecto: Raziel90/strands_qsr_lib

def load_files(path):
    m = PfModel()
    for f in os.listdir(path):
        if f.endswith(".pred"):
            name = f.split('.')[0]
            filename = path + '/' + f
            with open(filename, 'r') as a:
                m.add_prediction_matrix(name, np.loadtxt(a))

        elif f.endswith(".obs"):
            name = f.split('.')[0]
            filename = path + '/' + f
            with open(filename, 'r') as a:
                m.add_observation_matrix(name, np.loadtxt(a))

    return m.get()

Ejemplo n.º 4

Archivo: example_pf_client.py Proyecto: strands-project/strands_qsr_lib

def load_files(path):
    m = PfModel()
    for f in os.listdir(path):
        if f.endswith(".pred"):
            name = f.split('.')[0]
            filename = path + '/' + f
            with open(filename, 'r') as a:
                m.add_prediction_matrix(name, np.loadtxt(a))

        elif f.endswith(".obs"):
            name = f.split('.')[0]
            filename = path + '/' + f
            with open(filename, 'r') as a:
                m.add_observation_matrix(name, np.loadtxt(a))

    return m.get()