def model3(student, S1_CA, S2_CA, S3_CA, S1_WE, S2_WE, S3_WE): marks = [] if S1_CA == "P": marks.append(0) elif S1_CA == "F": marks.append(1) if S1_WE == "P": marks.append(2) elif S1_WE == "F": marks.append(3) if S2_CA == "P": marks.append(4) elif S2_CA == "F": marks.append(5) if S2_WE == "P": marks.append(6) elif S2_WE == "F": marks.append(7) if S3_CA == "P": marks.append(8) elif S2_CA == "F": marks.append(9) if S3_WE == "P": marks.append(10) elif S2_WE == "F": marks.append(11) print marks import Not_Algo4_HiddenMarkovModel2 val = Not_Algo4_HiddenMarkovModel2.f(marks) return val
def model1(student,S1_CA,S1_WE): marks=[] if S1_CA=="P": marks.append(0) elif S1_CA=="F" :marks.append(1) if S1_WE=="P": marks.append(2) elif S1_WE=="F" :marks.append(3) import Not_Algo4_HiddenMarkovModel2 val=Not_Algo4_HiddenMarkovModel2.f(marks) return val
def model1(student, S1_CA, S1_WE): marks = [] if S1_CA == "P": marks.append(0) elif S1_CA == "F": marks.append(1) if S1_WE == "P": marks.append(2) elif S1_WE == "F": marks.append(3) import Not_Algo4_HiddenMarkovModel2 val = Not_Algo4_HiddenMarkovModel2.f(marks) return val
def model2(student,S1_CA,S2_CA,S1_WE,S2_WE): marks=[] if S1_CA=="P": marks.append(0) elif S1_CA=="F" :marks.append(1) if S1_WE=="P": marks.append(2) elif S1_WE=="F" :marks.append(3) if S2_CA=="P": marks.append(4) elif S2_CA=="F" :marks.append(5) if S2_WE=="P": marks.append(6) elif S2_WE=="F" :marks.append(7) print marks import Not_Algo4_HiddenMarkovModel2 val=Not_Algo4_HiddenMarkovModel2.f(marks) return val