Changelog

3.1.2 - 2022-07-01

Other changes:

  • Next attempt to build wheel for PyPI without march=native.

3.1.1 - 2022-07-01

Other changes:

  • Add Python 3.10 support to CI (remove Python 3.6).

  • Build wheel for PyPI without march=native.

3.1.0 - 2022-03-07

New feature

3.0.8 - 2022-01-03

Bug fix

  • Always use 64bit integers for indexing in tabmat.ext.sparse.sparse_sandwich() to avoid segmentation faults on very wide problems.

3.0.7 - 2021-11-23

Bug fix

  • Disable the use of static TLS in the Linux wheels to avoid issues with too small TLS on some distributions.

3.0.6 - 2021-11-11

Bug fix

  • We fixed a bug in tabmat.SplitMatrix.matvec(), where incorrect matrix vector products were computed when a SplitMatrix did not contain any dense components.

3.0.5 - 2021-11-05

Other changes

  • We are now specifying the run time dependencies in setup.py, so that missing dependencies are automatically installed from PyPI when installing tabmat via pip.

3.0.4 - 2021-11-03

Other changes

  • tabmat is now available on PyPI and will be automatically updated when a new release is published.

3.0.3 - 2021-10-15

Bug fix

  • We now support xsimd>=8 and support alternative jemalloc installations.

3.0.2 - 2021-10-14

Bug fix

  • Allow to link to alternatively suffixed jemalloc installation to work around #113 .

3.0.1 - 2021-10-07

Bug fix

  • The license was mistakenly left as proprietary. Corrected to BSD-3-Clause.

Other changes

  • ReadTheDocs integration.

  • CONTRIBUTING.md

  • Correct pyproject.toml to work with PEP-517

3.0.0 - 2021-10-07

Breaking changes:

  • The package has been renamed to tabmat. CELEBRATE!

  • The one_over_var_inf_to_val() function has been made private.

  • The csc_to_split() function has been re-named to tabmat.from_csc() to match the tabmat.from_pandas() function.

  • The tabmat.MatrixBase.get_col_means() and tabmat.MatrixBase.get_col_stds() methods have been made private.

  • The cross_sandwich() method has also been made private.

Bug fix

  • StandardizedMatrix.transpose_matvec() was giving the wrong answer when the out parameter was provided. This is now fixed.

  • SplitMatrix.__repr__() now calls the __repr__ method of component matrices instead of __str__.

Other changes

  • Optimized the tabmat.SparseMatrix.matvec() and tabmat.SparseMatrix.tranpose_matvec() for when rows and cols are None.

  • Implemented CategoricalMatrix.__rmul__()

  • Reorganizing the documentation and updating the text to match the current API.

  • Enable indexing the rows of a CategoricalMatrix. Previously CategoricalMatrix.__getitem__() only supported column indexing.

  • Allow creating a SplitMatrix from a list of any MatrixBase objects including another SplitMatrix.

  • Reduced memory usage in tabmat.SplitMatrix.matvec().

2.0.3 - 2021-07-15

Bug fix

  • In SplitMatrix.sandwich(), when a col subset was specified, incorrect output was produced if the components of the indices array were not sorted. SplitMatrix.__init__() now checks for sorted indices and maintains sorted index lists when combining matrices.

Other changes

  • SplitMatrix.__init__() now filters out any empty matrices.

  • StandardizedMatrix.sandwich() passes rows=None and cols=None onwards to the underlying matrix instead of replacing them with full arrays of indices. This should improve performance slightly.

  • SplitMatrix.__repr__() now includes the type of the underlying matrix objects in the string output.

2.0.2 - 2021-06-24

Bug fix

Sparse matrices now accept 64-bit indices on Windows.

2.0.1 - 2021-06-20

Bug fix:

Split matrices now also work on Windows.

2.0.0 - 2021-06-17

Breaking changes:

We renamed several public functions to make them private. These include functions in tabmat.benchmark that are unlikely to be used outside of this package as well as

  • tabmat.dense_matrix._matvec_helper()

  • tabmat.sparse_matrix._matvec_helper().

  • tabmat.split_matrix._prepare_out_array().

Other changes:

  • We removed the dependency on sparse_dot_mkl. We now use scipy.sparse.csr_matvec() instead of sparse_dot_mkl.dot_product_mkl() on all platforms, because the former suffered from poor performance, especially on narrow problems. This also means that we removed the function tabmat.sparse_matrix._dot_product_maybe_mkl().

  • We updated the pre-commit hooks and made sure the code is line with the new hooks.

1.0.6 - 2020-04-26

Other changes:

We are now also making releases for Windows.

1.0.5 - 2020-04-26

Other changes:

Still trying.

1.0.4 - 2020-04-26

Other changes:

We are trying to make releases for Windows.

1.0.3 - 2020-04-21

Bug fixes:

  • Added a check that matrices are two-dimensional in the SplitMatrix.__init__

  • Replace np.int with np.int64 where appropriate due to NumPy deprecation of np.int.

1.0.2 - 2020-04-20

Other changes:

  • Added Python 3.9 support.

  • Use scipy.sparse dot product when MKL isn’t available.

1.0.1 - 2020-11-25

Bug fixes:

  • Handling for nulls when setting up a CategoricalMatrix

  • Fixes to make several functions work with both row and col restrictions and out

Other changes:

  • Added various tests and documentation improvements

1.0.0 - 2020-11-11

Breaking change:

  • Rename dot to matvec. Our dot function supports matrix-vector multiplication for every subclass, but only supports matrix-matrix multiplication for some. We therefore rename it to matvec in line with other libraries.

Bug fix:

  • Fix a bug in matvec for categorical components when the number of categories exceeds the number of rows.

0.0.6 - 2020-08-03

See git history.