d29fbf497b46ef690c5c3187f3e6d6ff2a07fe12,lxmls/deep_learning/mlp.py,NumpyMLP,load,#NumpyMLP#Any#,202

Before Change

        Load model
        
        with open(model_path) as fid:
            par = cPickle.load(fid, cPickle.HIGHEST_PROTOCOL)
            params = par[:len(par)//2]
            actvfunc = par[len(par)//2:]
        return params, actvfunc

    def plot_weights(self, show=True, aspect="auto"):
        

After Change

        // Configuration un yaml format
        config_file = "%s/config.yml" % model_folder
        config = load_config(config_file)

        // Computation graph parameters as pickle file
        parameter_file = "%s/parameters.pkl" % model_folder
        loaded_parameters = load_parameters(parameter_file)

        return config, loaded_parameters

    def save(self, model_folder):
        

Instances