def write_xml(model, domains, filename):
'''
Write an XML representation of an ANFIS model to the given file.
'''
jfml_fis = convert(model, domains)
Py4jfml.writeFSTtoXML(jfml_fis, filename)
print('Written', filename)
from py4j.java_gateway import JavaGateway
from py4jfml.Py4Jfml import Py4jfml
import os
gateway = JavaGateway()
#percorso del file xml da valutare
str_xml = os.getcwd() + "/" + "IrisMamdani2.xml"
#Sistema fuzzy
fs = Py4jfml.load(str_xml)
#limite minimo massimo e medio SepalLength
limitiSL = [4.3, 7.9, 6.1]
#limite minimo massimo e medio SepalWidth
limitiSW = [2., 4.4, 3.2]
#limite minimo massimo e medio PetalLength
limitiPL = [1., 6.9, 3.9]
#limite minimo massimo e medio PetalWidth
limitiPW = [0.1, 2.5, 1.2]
for i in range(3):
fuzzyVarSL = fs.getVariable("SepalLength")
#imposto i valori
fuzzyVarSL.setValue(float(limitiSL[i]))
for j in range(3):
fuzzyVarSW = fs.getVariable("SepalWidth")
ant2.addClause(ClauseType(pl, pl_medium))
ant2.addClause(ClauseType(pw, pw_medium))
con2 = ConsequentType()
con2.addThenClause(ClauseType(irisClass, irisClass_virginica))
r2.setAntecedent(ant2)
r2.setConsequent(con2)
rb.addRule(r2);
# RULE 3
r3 = FuzzyRuleType("rule3", connector="and", connectorMethod="MIN", weight=1.0)
ant3 = AntecedentType()
ant3.addClause(ClauseType(sl, sl_not_low))
ant3.addClause(ClauseType(pl, pl_not_low))
ant3.addClause(ClauseType(pw, pw_high))
con3 = ConsequentType()
con3.addThenClause(ClauseType(irisClass, irisClass_versicolor))
r3.setAntecedent(ant3)
r3.setConsequent(con3)
rb.addRule(r3)
iris.addRuleBase(rb)
print(iris)
# WRITTING IRIS EXAMPLE INTO AN XML FILE
irisXMLFile = "IrisMamdani2.xml"
Py4jfml.writeFSTtoXML(iris, irisXMLFile)
Py4jfml.kill()
from py4j.java_gateway import JavaGateway
from py4jfml.Py4Jfml import Py4jfml
import os
gateway = JavaGateway()
#percorso del file xml da valutare
str_xml = os.getcwd() + "/" + "IrisMamdani3.xml"
#creazione sistema fuzzy
fs1 = Py4jfml.load(str_xml)
fs2 = Py4jfml.load(str_xml)
fs3 = Py4jfml.load(str_xml)
#imposto i valori di input
#caso limite minimo
pw1 = fs1.getVariable("PetalWidth")
pw1.setValue(0.1)
#caso medio
pw2 = fs2.getVariable("PetalWidth")
pw2.setValue(2.5)
#caso limite massimo
pw3 = fs3.getVariable("PetalWidth")
pw3.setValue(1.2)
#valutazione fuzzy testlib 1
fs1.evaluate()
#valutazione fuzzy testlib 2
fs2.evaluate()
from py4j.java_gateway import JavaGateway
from py4jfml.Py4Jfml import Py4jfml
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn import svm
gateway = JavaGateway()
#%% load data
# import some data to play with
iris = datasets.load_iris()
#%% load FIS from FML file
fis = Py4jfml.load("IrisMamdani2.xml")
print(fis)
fis_output = []
for sample in iris.data:
fis.getVariable("SepalLength").setValue(sample[0])
fis.getVariable("SepalWidth").setValue(sample[1])
fis.getVariable("PetalLength").setValue(sample[2])
fis.getVariable("PetalWidth").setValue(sample[3])
fis.evaluate()
fis_output.append(fis.getVariable("irisClass").getValue())
#%% Train a svm from scikit-learn
clf = svm.SVC(gamma=0.001, C=100.)
clf.fit(iris.data, iris.target)
svm_output = clf.predict(iris.data)
con2 = ConsequentType()
con2.addThenClause(variable=tip, term=average)
rule2.setAntecedent(ant2)
rule2.setConsequent(con2)
rb.addRule(rule2)
#RULE 3
rule3 = FuzzyRuleType(name="rule3",
connector="or",
connectorMethod="MAX",
weight=1.0)
ant3 = AntecedentType()
ant3.addClause(c=ClauseType(service, excellent))
ant3.addClause(c=ClauseType(food, delicious))
con3 = ConsequentType()
con3.addThenClause(variable=tip, term=generous)
rule3.setAntecedent(ant3)
rule3.setConsequent(con3)
rb.addRule(rule3)
tipper.addRuleBase(rb)
#WRITTING TIPPER EXAMPLE INTO AN XML FILE
tipperXMLFile = "TipperTsukamoto2.xml"
Py4jfml.writeFSTtoXML(tipper, tipperXMLFile)
print(tipper)
Py4jfml.kill()
con1.addThenClause(variable=dhl, term=dhl_verylow)
r1.setAntecedent(ant1)
r1.setConsequent(con1)
rb.addRule(r1)
# RULE 243
r243 = FuzzyRuleType("rule243",
connector="and",
connectorMethod="MIN",
weight=1.)
ant243 = AntecedentType()
ant243.addClause(ClauseType(pcc, pcc_high))
ant243.addClause(ClauseType(pcp, pcp_high))
ant243.addClause(ClauseType(pcf, pcf_high))
ant243.addClause(ClauseType(pcr, pcr_high))
ant243.addClause(ClauseType(fgb, fgb_high))
con243 = ConsequentType()
con243.addThenClause(variable=dhl, term=dhl_low)
r243.setAntecedent(ant243)
r243.setConsequent(con243)
rb.addRule(r243)
japaneseDietAssessment.addRuleBase(rb)
print(japaneseDietAssessment)
# WRITTING JAPANESE DIET ASSESSMENT EXAMPLE INTO AN XML FILE
japaneseDietAssessmentXMLFile = "JapaneseDietAssessmentMamdani.xml"
Py4jfml.writeFSTtoXML(japaneseDietAssessment, japaneseDietAssessmentXMLFile)
Py4jfml.kill()
#RULE 18 r18 = FuzzyRuleType(name="rule18", connector="and", connectorMethod="MIN", weight=1.0) ant18 = AntecedentType() ant18.addClause(c=ClauseType(ang, ang_vpos)) ant18.addClause(c=ClauseType(ca, ca_neu)) con18 = ConsequentType() con18.addThenClause(variable=force, term=force_vpos) r18.setAntecedent(value=ant18) r18.setConsequent(value=con18) rb.addRule(rule=r18) #RULE 19 r19 = FuzzyRuleType(name="rule19", connector="and", connectorMethod="MIN", weight=1.0) ant19 = AntecedentType() ant19.addClause(c=ClauseType(ang, ang_pos_or_vpos)) ant19.addClause(c=ClauseType(ca, ca_pos_or_vpos)) con19 = ConsequentType() con19.addThenClause(variable=force, term=force_vpos) r19.setAntecedent(value=ant19) r19.setConsequent(value=con19) rb.addRule(r19) invertedPendulum.addRuleBase(rb); print(invertedPendulum) #WRITTING INVERTED PENDULUM EXAMPLE INTO AN XML FILE invertedPendulumXMLFile = "InvertedPendulumMamdani1.xml" Py4jfml.writeFSTtoXML(invertedPendulum, invertedPendulumXMLFile) Py4jfml.kill()
con2.addTskThenClause(variable=tip, term=average)
rule2.setAntecedent(ant2)
rule2.setTskConsequent(con2)
fr.addTskRule(rule2)
#RULE 3
rule3 = TskFuzzyRuleType(name="rule3",
connector="or",
connectorMethod="MAX",
weight=1.0)
ant3 = AntecedentType()
ant3.addClause(c=ClauseType(service, excellent))
ant3.addClause(c=ClauseType(food, delicious))
con3 = TskConsequentType()
con3.addTskThenClause(variable=tip, term=generous)
rule3.setAntecedent(ant3)
rule3.setTskConsequent(con3)
fr.addTskRule(rule3)
tipper.addRuleBase(fr)
#WRITTING TIPPER EXAMPLE INTO AN XML FILE
str_xml = "TipperTSK.xml"
Py4jfml.writeFSTtoXML(tipper, str_xml)
print(tipper)
Py4jfml.kill()
pydoc.help(ObjectFactory) pydoc.help(KnowledgeBaseType) pydoc.help(AggregatedFuzzyVariableType) pydoc.help(AnYaDataCloudType) pydoc.help(FuzzyVariableType) pydoc.help(TskVariableType) pydoc.help(TsukamotoVariableType) pydoc.help(WZ) pydoc.help(AntecedentType) pydoc.help(AnYaAntecedentType) pydoc.help(AnYaRuleType) pydoc.help(ClauseType) pydoc.help(ConsequentClausesType) pydoc.help(ConsequentType) pydoc.help(FuzzyRuleType) pydoc.help(TskClauseType) pydoc.help(TskConsequentClausesType) pydoc.help(TskConsequentType) pydoc.help(TskFuzzyRuleType) pydoc.help(AnYaRuleBaseType) pydoc.help(FuzzySystemRuleBase) pydoc.help(MamdaniRuleBaseType) pydoc.help(RuleBaseType) pydoc.help(TskRuleBaseType) pydoc.help(TsukamotoRuleBaseType) Py4jfml.kill()
weight=1.0)
ant11 = AntecedentType()
ant11.addClause(c=ClauseType(pw, pw_highSIN))
con11 = ConsequentType()
con11.addThenClause(c=ClauseType(irisClass, irisClass_versicolor))
r11.setAntecedent(value=ant11)
r11.setConsequent(value=con11)
rb.addRule(r11)
# RULE 12
r12 = FuzzyRuleType(name="rule12",
connector="and",
connectorMethod="MIN",
weight=1.0)
ant12 = AntecedentType()
ant12.addClause(c=ClauseType(pw, pw_highS))
con12 = ConsequentType()
con12.addThenClause(c=ClauseType(irisClass, irisClass_versicolor))
r12.setAntecedent(value=ant12)
r12.setConsequent(value=con12)
rb.addRule(r12)
iris.addRuleBase(rb)
# WRITTING IRIS EXAMPLE INTO AN XML FILE
str_xml = os.getcwd() + "/" + "IrisMamdani3.xml"
Py4jfml.writeFSTtoXML(iris, str_xml)
print(iris)
Py4jfml.kill()
names=features + target,
dtype={target[0]: str})
fold_dict["trainingset"] = trainingset
testset = pd.read_csv("./" + fold_path + "/" + testset_filename,
header=None,
names=features + target,
dtype={target[0]: str})
fold_dict["testset"] = testset
# load FIS
fis_array = []
actual_array = []
for fis_idx in range(len(term_num)):
fis_filename = ("BEER3.txt_CV" + str(fold_idx) + "_RP" +
str(term_num[fis_idx]) + "_SP_FDTP_S.kb.xml.jfml.xml")
fis_array += [Py4jfml.load("./" + fold_path + "/" + fis_filename)]
fold_dict["fis_array"] = fis_array
# test FIS
actuals = []
fis = fis_array[fis_idx]
for i in range(len(testset)):
for f in features:
fvar = fis.getVariable(f)
if fvar is not None:
fvar.setValue(testset[f][i])
fis.evaluate()
actuals.append(str(fis.getVariable(target[0]).getValue()))
actual_array += [actuals]
fold_dict["fis_results"] = actual_array
