Estimating with OLSMultipleLinearRegression

Using the OLSMultipleLinearRegression to find best adjusted R-square for set of input parameters drawn from a larger universe of variables. This is working as expected :slight_smile:

But wondering, given the outcome are the estimated parameters (estimateRegressionParameters()), how to use them on a set of unseen input parameters to provide the result. I can develop it myself, but was looking for something like this:

y_pred = linear_model(x, estimatedRegressionParameters)

Does this exist?

Hi @roboquant

I am not a specialist of this part of the library, but I don’t think it exists yet, we just provide the coefficients.

@luc Thanks, at least I didn’t overlook anything. And the development of the required function is trivial anyway, so continue using that.