Web26 de ago. de 2024 · I am fitting two sklearn models in a for loop with pipeline, and trying to name them separate and predict with this pipeline later, names = ["Linear", "Elastic"] … Web3 de fev. de 2024 · You can use lapply to loop over your variables. fit <- lapply (Data [,c (...)], function (x) lm (x ~ Age + Speed + Gender + Mass, data = Data)) This gives you a list of your results. The c (...) should contain your variable names as strings. Alternatively, you can choose the variables by their position in Data, like Data [,1:5]. Share

How to iterate through tensors in custom loss function?

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Writing a training loop from scratch TensorFlow Core

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