# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT # HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # OTHER DEALINGS IN THE SOFTWARE. import utils.XMLBIF as XMLBIF from inference.Query import Query from inference.EvidenceVariable import EvidenceVariable from inference.algorithms.variable_elimination.VariableElimination import VariableElimination network = XMLBIF.load_preset_network('win95pts') ve = VariableElimination(network) ve.heuristic = 'min-fill' ve.mode = 'brief' # Consultas predefinidas # Queremos ver la probabilidad de que sea la velocidad de la red la que este haciendo # que las impresiones sean demasiado lentas sabiendo que la red esta correctamente configurada. evidence_variable_1 = EvidenceVariable(network.get_node_by_name('Too Slow'), 'Too Long') evidence_variable_2 = EvidenceVariable(network.get_node_by_name('Network Configuration'), 'Correct') query = Query(network.get_node_by_name('Net Speed'), [evidence_variable_1, evidence_variable_2]) ve.query = query ve.run()
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # OTHER DEALINGS IN THE SOFTWARE. import utils.XMLBIF as XMLBIF from inference.Query import Query from inference.EvidenceVariable import EvidenceVariable from inference.algorithms.variable_elimination.VariableElimination import VariableElimination network = XMLBIF.load_preset_network('simple_diagnosis') """ # Consulta predefinida evidence_variable_1 = EvidenceVariable(network.get_node_by_name('Influenza'), 'T') evidence_variable_2 = EvidenceVariable(network.get_node_by_name('Fever'), 'F') evidence_variable_3 = EvidenceVariable(network.get_node_by_name('Wheezing'), 'T') query = Query(network.get_node_by_name('Smokes'), [evidence_variable_1, evidence_variable_2, evidence_variable_3]) """ # Consulta aleatoria query = Query.random(network, 3) ve = VariableElimination(network) ve.heuristic = 'min-factor' ve.mode = 'verbose' ve.query = query ve.run()
# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # OTHER DEALINGS IN THE SOFTWARE. import utils.XMLBIF as XMLBIF from inference.Query import Query from inference.EvidenceVariable import EvidenceVariable from inference.algorithms.variable_elimination.VariableElimination import VariableElimination network = XMLBIF.load_preset_network("fire_alarm") """ # Consulta predefinida evidence_variable_1 = EvidenceVariable(network.get_node_by_name('report'), 'T') evidence_variable_2 = EvidenceVariable(network.get_node_by_name('tampering'), 'T') query = Query(network.get_node_by_name('fire'), [evidence_variable_1, evidence_variable_2]) """ # Consulta aleatoria query = Query.random(network, 2) ve = VariableElimination(network) ve.heuristic = "random" ve.mode = "verbose" ve.query = query ve.run()
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # OTHER DEALINGS IN THE SOFTWARE. import utils.XMLBIF as XMLBIF from inference.Query import Query from inference.EvidenceVariable import EvidenceVariable from inference.algorithms.variable_elimination.VariableElimination import VariableElimination network = XMLBIF.load_preset_network('electrical_diagnosis') """ # Consulta predefinida evidence_variable_1 = EvidenceVariable(network.get_node_by_name('w2'), 'live') evidence_variable_2 = EvidenceVariable(network.get_node_by_name('p1'), 'T') query = Query(network.get_node_by_name('w0'), [evidence_variable_1, evidence_variable_2]) """ # Consulta aleatoria query = Query.random(network, 2) ve = VariableElimination(network) ve.heuristic = 'min-degree' ve.mode = 'verbose' ve.query = query ve.run()