I have been asked to implement a simple knn for text similarity analysis. I
tried by using sklearn.neighbors module.The file to be analysed consisted on 2
relevant columns: "text" and "name".The knn model should be fitted with
bag-of-words of a corpus of around 60,000 pre-treated text fragments
Hi all,
So I am trying to write a Principle Components Regression implementation in
Python to match the PLS package in R. I am getting better results in R so I
am trying to figure out where the discrepancy was. The data I am using is
way undetermined where n_features ~ 50,000 and n_samples ~ 500 t