def testPwBlrWithCpsParentMoves(coefs):
output_line = ('Bayesian Piece-Wise Linear Regression with moves on' +
'change-points and parent sets.')
print(output_line)
logger.info(output_line) # Print and write output
# Generate data to test our algo
network, _, adjMatrix = generateNetwork(args.num_features, args.num_indep,
coefs, args.num_samples,
args.change_points, args.verbose,
args.generated_noise_var)
baNet = Network(network, args.chain_length, args.burn_in)
baNet.infer_network('varying_nh_dbn')
trueAdjMatrix = adjMatrix[
0] # For the moment we just get the adj matrix of the first cp
adjMatrixRoc(baNet.proposed_adj_matrix, trueAdjMatrix, args.verbose)
def testPwBlrWithParentMoves(coefs):
output_line = ('Bayesian Piece-Wise Linear Regression with moves on' +
'the parent set only with fixed changepoints. \n')
print(output_line)
logger.info(output_line) # Print and write output
# Generate data to test our algo
network, _, adjMatrix = generateNetwork(args.num_features, args.num_indep,
coefs, args.num_samples,
args.change_points, args.verbose,
args.generated_noise_var)
baNet = Network(network, args.chain_length, args.burn_in,
args.change_points) # Create theh BN obj
baNet.infer_network(
'fixed_nh_dbn') # Do the fixed chnagepoints version of the DBN algo
trueAdjMatrix = adjMatrix[
0] # For the moment we just get the adj matrix of the first cp
adjMatrixRoc(baNet.proposed_adj_matrix, trueAdjMatrix, args.verbose)
def test_h_dbn(coefs):
output_line = ('Bayesian Linear Regression with moves on' +
'the parent set only. \n')
print(output_line)
logger.info(output_line) # Print and write output
change_points = [
] # set the cps empty list because this is the homegeneous version
# Generate data to test our algo
network, _, adjMatrix = generateNetwork(args.num_features, args.num_indep,
coefs, args.num_samples,
change_points, args.verbose,
args.generated_noise_var)
baNet = Network(network, args.chain_length, args.burn_in,
args.change_points) # Create theh BN obj
baNet.infer_network(
'h_dbn') # Do the fixed parents version of the DBN algo
trueAdjMatrix = adjMatrix[
0] # For the moment we just get the adj matrix of the first cp
adjMatrixRoc(baNet.proposed_adj_matrix, trueAdjMatrix, args.verbose)