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* Move `alpha` and `rcond` into fit method * Allow floats in addition to a TensorMap as `alpha` parameter * Various improvements to the docstring and example
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| # ``"positions"`` (forces). | ||
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| clf = Ridge(parameter_keys=["values", "positions"]) |
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Quick question: this parameter_keys is here to allow training of a model using only gradients, right? otherwise it feels a bit redundant: one could say we use everything defined on the input tensormap
This was referenced Mar 1, 2023
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This PR is factoring out the improvements to
Ridgestarted in #10. It contains the following changes.alphaandrcondinto fit methodcoefattribute toweightsto be consistent with documentation.alphaparameter