Zaktualizuj 'id3.py'
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id3.py
63
id3.py
@ -1,15 +1,10 @@
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from cases import *
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from collections import Counter
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import operator
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from types import prepare_class
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import numpy as np
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import copy
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class Case:
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def __init__(self, values, attributes, Class):
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self.values = values
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self.attributes = attributes
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self.Class = Class
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class Node:
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def __init__(self, Class, tag=None):
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self.Class = Class
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@ -101,57 +96,23 @@ def treelearn(cases, attributes, default_class):
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return t
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def pretty_print(root, n):
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if len(root.childs) == 0:
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for _ in range(n):
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print("\t", end="")
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print(root.Class)
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print(" ", end="")
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print("return " + str(root.Class))
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for child in root.childs:
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for _ in range(n):
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print("\t", end="")
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print("== " + str(child[1]))
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print(" ", end="")
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if child != root.childs[0]:
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print("el", end= "")
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if len(str(child[1])) > 1:
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print("if self." + str(root.Class) + " == \"" + str(child[1]) + "\":")
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else:
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print("if self." + str(root.Class) + " == " + str(child[1]) + ":")
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pretty_print(child[0], n+1)
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attr = ["hydration", "fertility", "plant_type", "ticks", "is_healthy", "tractor_there"]
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ccases = []
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k = Case([2, 0, "wheat", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([3, 0, "wheat", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([4, 0, "wheat", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([1, 1, "wheat", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([3, 0, "wheat", 20, 0, 0], attr, 0)
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ccases.append(k)
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k = Case([2, 0, "wheat", 20, 0, 0], attr, 0)
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ccases.append(k)
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k = Case([4, 0, "potato", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([3, 0, "potato", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([2, 0, "potato", 31, 0, 0], attr, 0)
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ccases.append(k)
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k = Case([2, 0, "potato", 31, 0, 0], attr, 0)
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ccases.append(k)
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k = Case([2, 1, "potato", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([1, 1, "potato", 31, 0, 0], attr, 0)
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ccases.append(k)
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k = Case([4, 1, "potato", 31, 0, 0], attr, 1)
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ccases.append(k)
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k = Case([4, 1, "potato", 19, 0, 0], attr, 0)
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ccases.append(k)
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k = Case([4, 1, "potato", 31, 1, 0], attr, 0)
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ccases.append(k)
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k = Case([4, 1, "wheat", 19, 0, 0], attr, 0)
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ccases.append(k)
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k = Case([4, 1, "potato", 31, 0, 1], attr, 0)
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ccases.append(k)
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k = Case([4, 1, "wheat", 31, 1, 0], attr, 0)
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ccases.append(k)
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k = Case([2, 0, "wheat", 31, 0, 1], attr, 0)
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ccases.append(k)
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tree = treelearn(ccases, attr, 0)
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tree = treelearn(cases, attributes, 0)
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pretty_print(tree, 0)
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