🌐 Mailman 3 April 2021 - scikit-learn - python.org

GridSearchCV not working properly
by Mujeebur Rahman April 16, 2021

April 16, 2021

Dear Team, I really like to work with sklearn tools. But I've been facing issues ever since the latest version was released. It is about the GridSearchCV function of model_selection. With the previous version, I ran GradientBoostingClassifier with a set of hyperparameters and fed it to GridSearchCV, setting verbose to 5. The train data had around 800 rows and 100 columns. The model completed running within 2-3 minutes. With the latest version, I ran the same code without any changes. The only change is with the number of rows, where around 200 rows have been added extra. This time wheb I ran the code, it took nearly 20 minutes to complete. And the verbose steps also didn't show up. Please fix this issue as soon as possible. I really look forward to hearing from you. Thanks and Regards, Mujeebur Rahman Data Analyst

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Elbow method module for estimating of optimal clustering
by Maiia Bakhova April 14, 2021

April 14, 2021

Hello, A while ago I made a numeric computation of Elbow method to estimate an optimal number of clusters created by K-means and presented it in scikit-learn digest as a function. As a result I got a lot of clones from my github repo, and was encouraged to work further on it. I got feedback from people with whom I discussed it. Now it is in the format of scikit-learn Estimator and has bootstrapping to verify if the chosen number is more or less reliable and not too random. It returns a suggested optimal number and a dictionary of all calculated suggestions with corresponding frequencies. Here is the method: https://github.com/Mathemilda/Numeric_ElbowMethod_For_K-means/blob/master/E… Here is an example of its application in a jupiter notebook: https://github.com/Mathemilda/Numeric_ElbowMethod_For_K-means/blob/master/A… I got a number of other suggestions, like incorporating other metrics and methods. I have seen a discussion about it with some pullrequests on scikit-learn github, but it does not appear to be finished. As I understand a lot people would like to have something now, so I offer my work. Please do not hesitate with questions or suggestions, Mya -- Maiia Bakhova Mathematician in Data Science http://myabakhova.blogspot.com https://www.linkedin.com/in/myabakhova

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Can I install Python ML library such as XGBoost without pip?
by C W April 7, 2021

April 7, 2021

Hello all, I can't install pip on this computer. It has conda installed (probably not helpful). Is there a work around to install XGBoost and packages? I remember reading on stackoverflow, there were some simple commands to do it. I actually used it to install packages without pip. I can't find the post anymore, could anyone help? Thanks so much! Mike

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