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Machine Learning with the Experts: School Budgets  


Liyi Ang
Joined: 10 months ago
Posts: 54
21/11/2018 9:00 pm  

Do you have any questions relating to Machine Learning with the Experts? Leave them here!

Active Member
Joined: 8 months ago
Posts: 15
23/11/2018 11:01 am  

Just sharing,
Thought it would be a helpful resource to go to after this datacamp lesson. 

This post was modified 8 months ago 2 times by hanqi

New Member
Joined: 5 months ago
Posts: 3
07/05/2019 11:15 am  

Hello! I have a question regarding the Multiple types of processing: FeatureUnion lesson in chapter 3. 

Why is it when we are writing a pipeline and we use functions that we have defined we do not need to use parentheses after calling the function in the pipeline? For example in the code bellow process_and_join_features is a predefined function. Why does LogisticRegression have parentheses but process_and_join_features does not?

pl = Pipeline([
        ('union', process_and_join_features),
        ('clf', OneVsRestClassifier(LogisticRegression()))
This post was modified 3 months ago by ruvenguna

Active Member
Joined: 8 months ago
Posts: 15
25/05/2019 12:22 pm  

Hi @ruvenguna, there is no parentheses around process_and_join_features because it is the LHS of an assignment with FeatureUnion() initialized on the RHS of

process_and_join_features = FeatureUnion()

. You can similarly do

ovr = OneVsRestClassifier(LogisticRegression())

, and define the Pipeline as ('clf',ovr)


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