Answered: 1.1 Using pd.get dummies(). turn the…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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1.1 Using pd.get dummies(). turn the input X into one-hot encodings in the transform() function (). Save the result in the variable one hot
1.2 Save the column names for our one-hot encoding one hot so we may retrieve them later if necessary. Save the result to the class self. feature names

class OneHotEncoding(BaseEstimator, TransformerMixin):

def__init__(self):

self.feature_names = None

deffit(self, X: pd.DataFrame, y: pd.DataFrame = None):

# We don't need to set/learn any variables so

# we just need to return a reference to the object with 'self'

returnself

deftransform(self, X: pd.DataFrame, y: pd.DataFrame = None):

# TODO 1.1

one_hot =

# TODO 1.2

self.feature_names =

return one_hot

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