is.ulstu.ru/fuzzy-rules-generator
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Compare commits

base: is.ulstu.ru:b2534ba05e5772003abf0ab4a0ddd3d98709b5c7
Branches Tags
is.ulstu.ru:master
..
compare: is.ulstu.ru:9eb4492feb1e27dcc1d49a019aee6aa3ef035ff8
Branches Tags
is.ulstu.ru:master

No commits in common. "b2534ba05e5772003abf0ab4a0ddd3d98709b5c7" and "9eb4492feb1e27dcc1d49a019aee6aa3ef035ff8" have entirely different histories.
b2534ba05e ... 9eb4492feb

6 changed files with 2 additions and 144079 deletions
Show Stats Expand all files Collapse all files

2187
cardio.ipynb
View File

File diff suppressed because one or more lines are too long

2897
cardio_fuzzy.ipynb
View File

File diff suppressed because one or more lines are too long

BIN
data-cardio/cardio.model.sav
View File

Binary file not shown.

68986
data-cardio/cardio_clear.csv
View File

File diff suppressed because it is too large Load Diff

70001
data-cardio/cardio_train.csv
View File

File diff suppressed because it is too large Load Diff

8
src/rules.py
View File

@ -71,7 +71,7 @@ class Rule:
# https://mljar.com/blog/extract-rules-decision-tree/ # https://mljar.com/blog/extract-rules-decision-tree/
def get_rules(tree, feature_names, classes=None) -> List[Rule]: def get_rules(tree, feature_names) -> List[Rule]:
tree_ = tree.tree_ tree_ = tree.tree_
feature_name = [ feature_name = [
feature_names[i] if i != TREE_UNDEFINED else "undefined!" for i in tree_.feature feature_names[i] if i != TREE_UNDEFINED else "undefined!" for i in tree_.feature
@ -91,11 +91,7 @@ def get_rules(tree, feature_names, classes=None) -> List[Rule]:
p2.append(RuleAtom(name, ComparisonType.GREATER, threshold)) p2.append(RuleAtom(name, ComparisonType.GREATER, threshold))
recurse(tree_.children_right[node], p2, rules) recurse(tree_.children_right[node], p2, rules)
else: else:
if classes is None:
rules.append(Rule(antecedent, tree_.value[node][0][0])) rules.append(Rule(antecedent, tree_.value[node][0][0]))
else:
value = np.argmax(tree_.value[node][0])
rules.append(Rule(antecedent, classes[value]))
recurse(0, antecedent, rules) recurse(0, antecedent, rules)
@ -306,8 +302,6 @@ def _get_fuzzy_rules(
for rule in rules: for rule in rules:
antecedent = [] antecedent = []
for atom in rule.get_antecedent(): for atom in rule.get_antecedent():
if fuzzy_variables.get(atom.get_varaible(), None) is None:
continue
antecedent.append( antecedent.append(
_get_fuzzy_rule_atom( _get_fuzzy_rule_atom(
fuzzy_variables[atom.get_varaible()], atom.get_value() fuzzy_variables[atom.get_varaible()], atom.get_value()