can anybody help me
Suppose this is the vendor tag :
"Arabic, Breakfast, Burgers"
first you spit this and make a list ["Arabic", "Breakfast", "Burgers"]
Than you run MultiLabelBinarizer that you give you the OneHotEncoded Vectors
Yes I did the same . But while merging this onehotencoded dataframe to train dataframe then I'm getting memory error. How much is your RAM?
Hi @Rohith464, check out this discussion : https://zindi.africa/competitions/akeed-restaurant-recommendation-challenge/discussions/1426
Where @Engineer shared jupyter notebook which has a function to reduce the memory. I hope this will help.
Than it total it will have 91 columns
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Suppose this is the vendor tag :
"Arabic, Breakfast, Burgers"
first you spit this and make a list ["Arabic", "Breakfast", "Burgers"]
Than you run MultiLabelBinarizer that you give you the OneHotEncoded Vectors
Yes I did the same . But while merging this onehotencoded dataframe to train dataframe then I'm getting memory error. How much is your RAM?
Hi @Rohith464, check out this discussion : https://zindi.africa/competitions/akeed-restaurant-recommendation-challenge/discussions/1426
Where @Engineer shared jupyter notebook which has a function to reduce the memory. I hope this will help.
Than it total it will have 91 columns