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3 years ago
!pip install jovian --upgrade --quiet
import csv
attributes=[['Sunny','Rainy'],
			['Warm','Cold'],
			['Normal','High'],
			['Strong','Weak'],
			['Warm','Cool'],
			['Same','Change']]

num_attributes=len(attributes)

a=[]

print("\nThe given Training Data Set\n")
with open('CSVFile.csv','r') as csvFile:
	reader=csv.reader(csvFile)
	for row in reader:
		a.append(row)
		print(row)
  

hypothesis=a[0]

print("\nFind-S: Finding a maximally Specific Hypothesis\n")

for i in range(0,len(a)):
  if a[i][-1]=='Yes':
    for j in range(0,num_attributes):
      if a[i][j] != hypothesis[j]:
        hypothesis[j]='?'
  print("For training example No:{}".format(i),hypothesis)

print("\nThe final hypothesis is:")
print(hypothesis)
The given Training Data Set ['Sunny', 'Warm', 'Normal', 'Strong', 'Warm', 'Same', 'Yes'] ['Sunny', 'Warm', 'High', 'Strong', 'Warm', 'Same', 'Yes'] ['Rainy', 'Cool', 'High', 'Strong', 'Warm', 'Change', 'No'] ['Sunny', 'Warm', 'High', 'Strong', 'Cool', 'Change', 'Yes'] Find-S: Finding a maximally Specific Hypothesis For training example No:0 ['Sunny', 'Warm', 'Normal', 'Strong', 'Warm', 'Same', 'Yes'] For training example No:1 ['Sunny', 'Warm', '?', 'Strong', 'Warm', 'Same', 'Yes'] For training example No:2 ['Sunny', 'Warm', '?', 'Strong', 'Warm', 'Same', 'Yes'] For training example No:3 ['Sunny', 'Warm', '?', 'Strong', '?', '?', 'Yes'] The final hypothesis is: ['Sunny', 'Warm', '?', 'Strong', '?', '?', 'Yes'] 
jovian.commit(project='ml-lab-program-1')
[jovian] Detected Colab notebook... [jovian] Uploading colab notebook to Jovian...
[jovian] Error: Looks like the notebook is missing output cells, please save the notebook and try jovian.commit again.
[jovian] Capturing environment.. [jovian] Committed successfully! https://jovian.ai/akmalbaig98/ml-lab-program-1 
'https://jovian.ai/akmalbaig98/ml-lab-program-1'