- We added a new solver based on ``scipy.optimize.minimize(method='trust-constr')``. - We added support for linear inequality constraints of type ``A_ineq.dot(coef_) <= b_ineq``.
1.2.0
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We removed ``glum_benchmarks`` from the conda package.
1.1.1
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Maintenance release to get a fresh build for OSX.
1.1.0
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**New feature:**
- Direct support for pandas categorical types in ``fit`` and ``predict``. These will be converted into a :class:`CategoricalMatrix`.
1.0.1
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This is a maintenance release to be compatible with ``tabmat>=1.0.0``.
1.0.0
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**Other:**
- Renamed ``alpha_level`` attribute of :class:`~glum.GeneralizedLinearRegressor` and :class:`~glum.GeneralizedLinearRegressorCV` to ``alpha_index``. - Clarified behavior of ``scale_predictors``.