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Supervised Learning with FindS Algorithm #49

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Supervised Learning with FindS Algorithm #49

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32 changes: 32 additions & 0 deletions finds.py
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Original file line number Diff line number Diff line change
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import csv

def loadCsv(filename):
lines = csv.reader(open(filename, "rt"))
dataset = list(lines)
for i in range(len(dataset)):
dataset[i] = dataset[i]
return dataset

attributes = ['Sky','Temp','Humidity','Wind','Water','Forecast']
print(attributes)

num_attributes = len(attributes)
filename = "Tennis.csv"#filename with the csv format
dataset = loadCsv(filename)
print(dataset)

hypothesis=['0'] * num_attributes
print("Intial Hypothesis")
print(hypothesis)
print("The Hypothesis are")
for i in range(len(dataset)):
target = dataset[i][-1]
if(target == 'Yes'):
for j in range(num_attributes):
if(hypothesis[j]=='0'):
hypothesis[j] = dataset[i][j]
if(hypothesis[j]!= dataset[i][j]):
hypothesis[j]='?'
print(i+1,'=',hypothesis)
print("Final Hypothesis")
print(hypothesis)