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I am using your tool for reweighing MC to make it look like splotted data (thanks!)
I am currently following the examples and I am able to make it work for 1D, but I am not sure how to do it for more than one dimension. I mean, what I need is to find the MC weights when more than one variable presents disagreement between MC and data.
How do I do it?
Thanks!
Vicente Rives Molina
The text was updated successfully, but these errors were encountered:
Dear Vincente,
there is no difference between single / multidimensional fits.
The data you pass should be numpy.array or pandas.DataFrame of shape [n_samples, n_features]. If you want to pass weights, pass numpy.array of shape [n_samples].
If you feel this explanation is still complicated, you can pass through some scikit-learn tutorial, e.g. this one
Hi,
I am using your tool for reweighing MC to make it look like splotted data (thanks!)
I am currently following the examples and I am able to make it work for 1D, but I am not sure how to do it for more than one dimension. I mean, what I need is to find the MC weights when more than one variable presents disagreement between MC and data.
How do I do it?
Thanks!
Vicente Rives Molina
The text was updated successfully, but these errors were encountered: