CHANGELOG.rst

Changelog

1.5.0 - 2021-07-15

New features:

• The :meth:`linear_predictor` and :meth:`predict` methods of :class:`~quantcore.glm.GeneralizedLinearRegressor` and :class:`~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 :class:`~quantcore.glm._link.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.

1.4.3 - 2021-06-25

Bug fix:

• copy_X = False will now raise a value error when X has dtype int32 or int64. Previously, it would only raise for dtype int64.

1.4.2 - 2021-06-15

Tutorials and documentation improvements:

• Adding tutorials to the documentation.
• Additional documentation improvements.

Bug fix:

• Verbose progress bar now working again.

Other:

• Small improvement in documentation for the alpha_index argument to :meth:`~quantcore.glm.GeneralizedLinearRegressor.predict`.
• Pinned pre-commit hooks versions.

1.4.1 - 2021-05-01

We now have Windows builds!

1.4.0 - 2021-04-13

Deprecations:

• Fusing the alpha and alphas arguments for :class:`~quantcore.glm.GeneralizedLinearRegressor`. alpha now also accepts array like inputs. alphas is now deprecated but can still be used for backward compatibility. The alphas argument will be removed with the next major version.

Bug fix:

• We removed entry points to functions in quantcore.glm_benchmarks from the conda package.

1.3.1 - 2021-04-12

Bug fix:

• :func:`quantcore.glm._distribution.unit_variance_derivative` is evaluating a proper numexpr expression again (regression in 1.3.0).

1.3.0 - 2021-04-12

New features:

• 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 - 2021-02-04

We removed quantcore.glm_benchmarks from the conda package.

1.1.1 - 2021-01-11

Maintenance release to get a fresh build for OSX.

1.1.0 - 2020-11-23

New feature:

• Direct support for pandas categorical types in fit and predict. These will be converted into a :class:`CategoricalMatrix`.

1.0.1 - 2020-11-12

This is a maintenance release to be compatible with quantcore.matrix>=1.0.0.

1.0.0 - 2020-11-11

Other:

• Renamed alpha_level attribute of :class:`~quantcore.glm.GeneralizedLinearRegressor` and :class:`~quantcore.glm.GeneralizedLinearRegressorCV` to alpha_index.
• Clarified behavior of scale_predictors.

0.0.15 - 2020-11-11

Other:

• Pin quantcore.matrix<1.0.0 as we are expecting a breaking change with version 1.0.0.

0.0.14 - 2020-08-06

New features:

• Add Tweedie Link.
• Allow infinite bounds.

Bug fixes:

• Unstandardize regularization path.
• No copying in predict.

Other:

• Various memory and performance improvements.
• Update pre-commit hooks.

0.0.13 - 2020-07-23

See git history.

0.0.12 - 2020-07-07

See git history.

0.0.11 - 2020-07-02

See git history.

0.0.10 - 2020-06-30

See git history.

0.0.9 - 2020-06-26

See git history.

0.0.8 - 2020-06-24

See git history.

0.0.7 - 2020-06-17

See git history.

0.0.6 - 2020-06-16

See git history.

0.0.5 - 2020-06-10

See git history.

0.0.4 - 2020-06-08

See git history.

0.0.3 - 2020-06-08

See git history.