Ref Book : Machine Learning in Action

development python
#1

Numpy coding (unable to understand numpy code) :

I am not able to understand this axis parameter in the below mention code.()

def splitDataSet(dataSet, axis, value):
retDataSet = []
for featVec in dataSet:
if featVec[axis] == value:
reducedFeatVec = featVec[:axis]
reducedFeatVec.extend(featVec[axis+1:])
retDataSet.append(reducedFeatVec)
return retDataSet

Ref Book - Machine learning in action(Decision Tree Algorithms – page no 43)

#2

This is not a general python coding forum. It is dedicated to SNAP. So this is not the appropriate place to ask you question. I close this thread.

#3