quantcore.glm 1.5.0

1.5.0 - 2021-07-15

New features:

• The linear_predictor and predict methods of quantcore.glm.GeneralizedLinearRegressor and quantcore.glm.GeneralizedLinearRegressorCV gain an alpha parameter (in complement to alpha_index). Moreover, they are now able to predict for multiple penalties.

Other:

• Methods of Link now consistently return NumPy arrays, whereas they used to preserve pandas series in special cases.
• Don't list sparse_dot_mkl as a runtime requirement from the conda recipe.
• The minimal NumPy pin should be dependent on the NumPy version in host and not fixed to 1.16.