Hi, Lev! I'll return with explanation on next week, maybe I need to adds some details to this ticket.
P.S. About dataset - you could search among the datasets presented in MLSandbox class or could add your own (I'd prefer small datasets from http://archive.ics.uci.edu/ml/index.php) пт, 14 февр. 2020 г. в 10:02, Лев Киселев <lev.kiselev.1...@gmail.com>: > Hello everyone > I'd like to take following task: > > https://issues.apache.org/jira/browse/IGNITE-12384?jql=project%20%3D%20IGNITE%20AND%20status%20in%20(Open%2C%20Reopened)%20AND%20component%20%3D%20ML%20AND%20labels%20%3D%20newbie > > But I do not fully understand what exactly needs to be done. > As far as I understand encoders are needed to convert categorical variables > to numerical. So, to demonstrate how they works I need some dataset with > several categorical features. Should I search for it or generate by myself? > Then, do I need to solve some regression/classification problem in order > to demonstrate "power" of using categorical variables to fit prediction or > classification models? >
