neuroprob/inference.py
def constrain(self):
        """
        Constrain the optimization step, in particular constrain rate model parameters, stimulus history and spike 
        history/coupling filters, the HMM parameters to the simplex.
        """
        self.inputs.constrain()
        self.mapping.constrain()
        self.likelihood.constrain()

        Constrain the optimization step, in particular constrain rate model parameters, stimulus history and spike 
        history/coupling filters, the HMM parameters to the simplex.
        
Constrain the optimization step, in particular constrain rate model parameters, stimulus history and spike
history/coupling filters, the HMM parameters to the simplex.
Constrain the optimization step in particular constrain rate model parameters stimulus history and spike history / coupling filters the HMM parameters to the simplex .
def constrain(self):
        self.inputs.constrain()
        self.mapping.constrain()
        self.likelihood.constrain()
def constrain ( self ) : self . inputs . constrain ( ) self . mapping . constrain ( ) self . likelihood . constrain ( )
Constrain the optimization step, in particular constrain rate model parameters, stimulus history and spike
history/coupling filters, the HMM parameters to the simplex.
Constrain the optimization step in particular constrain rate model parameters stimulus history and spike history / coupling filters the HMM parameters to the simplex .
"""
        Constrain the optimization step, in particular constrain rate model parameters, stimulus history and spike 
        history/coupling filters, the HMM parameters to the simplex.
        """
self