(self, n_tasks=2, lr=1e-2, use_double_precision=True, verbose=False)
Wrapper around pybnn Bohamiann implementation. It automatically adjusts the length by the MCMC chain,
        by performing 100 times more burnin steps than we have data points and sampling ~100 networks weights.

        Parameters
        ----------
        get_net: func
            Architecture specification

        lr: float
           The MCMC step length

        use_double_precision: Boolean
           Use float32 or float64 precision. Note: Using float64 makes the training slower.

        verbose: Boolean
           Determines whether to print pybnn output.
Wrapper around pybnn Bohamiann implementation. It automatically adjusts the length by the MCMC chain,
        by performing 100 times more burnin steps than we have data points and sampling ~100 networks weights.
Wrapper around pybnn Bohamiann implementation . It automatically adjusts the length by the MCMC chain by performing 100 times more burnin steps than we have data points and sampling ~100 networks weights .
def __init__(self, n_tasks=2, lr=1e-2, use_double_precision=True, verbose=False):
        """
        Wrapper around pybnn Bohamiann implementation. It automatically adjusts the length by the MCMC chain,
        by performing 100 times more burnin steps than we have data points and sampling ~100 networks weights.

        Parameters
        ----------
        get_net: func
            Architecture specification

        lr: float
           The MCMC step length

        use_double_precision: Boolean
           Use float32 or float64 precision. Note: Using float64 makes the training slower.

        verbose: Boolean
           Determines whether to print pybnn output.
        """

        self.lr = lr
        self.verbose = verbose
        self.bnn = MultiTaskBohamiann(n_tasks,
                                      use_double_precision=use_double_precision)
def __init__ ( self , n_tasks = 2 , lr = 1e-2 , use_double_precision = True , verbose = False ) : self . lr = lr self . verbose = verbose self . bnn = MultiTaskBohamiann ( n_tasks , use_double_precision = use_double_precision )