SYMBOL INDEX (19 symbols across 4 files)

FILE: python/bayesian_logistic_regression.py
  class BayesianLR (line 17) | class BayesianLR:
    method __init__ (line 18) | def __init__(self, X, Y, batchsize=100, a0=1, b0=0.01):
    method dlnprob (line 29) | def dlnprob(self, theta):
    method evaluation (line 58) | def evaluation(self, theta, X_test, y_test):

FILE: python/bayesian_nn.py
  class svgd_bayesnn (line 26) | class svgd_bayesnn:
    method __init__ (line 41) | def __init__(self, X_train, y_train,  batch_size = 100, max_iter = 100...
    method normalization (line 164) | def normalization(self, X, y = None):
    method init_weights (line 177) | def init_weights(self, a0, b0):
    method svgd_kernel (line 189) | def svgd_kernel(self, h = -1):
    method pack_weights (line 211) | def pack_weights(self, w1, b1, w2, b2, loggamma, loglambda):
    method unpack_weights (line 218) | def unpack_weights(self, z):
    method evaluation (line 238) | def evaluation(self, X_test, y_test):

FILE: python/multivariate_normal.py
  class MVN (line 5) | class MVN:
    method __init__ (line 6) | def __init__(self, mu, A):
    method dlnprob (line 10) | def dlnprob(self, theta):

FILE: python/svgd.py
  class SVGD (line 4) | class SVGD():
    method __init__ (line 6) | def __init__(self):
    method svgd_kernel (line 9) | def svgd_kernel(self, theta, h = -1):
    method update (line 27) | def update(self, x0, lnprob, n_iter = 1000, stepsize = 1e-3, bandwidth...