v0.5.4 (2026年01月05日)

🐞 Bug Fixes

• modelfit: allow passing parameters with expressions as dictionary (59b20a4)

[main dc5737f] bump: version 0.5.3 → 0.5.4
3 files changed, 8 insertions(+), 2 deletions(-)

v0.5.3 (2026年01月01日)

🐞 Bug Fixes

• io: fix performance regression in v0.5.2 (d8cf3f9)

⚡️ Performance

• io: also patch model module for faster saving (62b9c40)

[main 71d77f8] bump: version 0.5.2 → 0.5.3
3 files changed, 12 insertions(+), 2 deletions(-)

v0.5.2 (2026年01月01日)

🐞 Bug Fixes

• io: make saving fit results reentrant and thread-safe (faeb7d7)

[main c80e5c5] bump: version 0.5.1 → 0.5.2
3 files changed, 8 insertions(+), 2 deletions(-)

v0.5.1 (2025年11月25日)

⚡️ Performance

• io: greatly speed up saving fit results (098200c)

  Speeds up repeated serializations of the same callable by caching.

[main f2e1032] bump: version 0.5.0 → 0.5.1
3 files changed, 10 insertions(+), 2 deletions(-)

v0.5.0 (2025年11月23日)

✨ Features

• modelfit: make results picklable (#25) (eb8a1f4)

  When using dask to parallelize model fitting, the generated dask graph may contain dynamically defined functions or that are not picklable. This commit refactors the fit function to a module-level function, ensuring that the results can be pickled.

[main 1fd5dfa] bump: version 0.4.1 → 0.5.0
3 files changed, 10 insertions(+), 2 deletions(-)

v0.4.1 (2025年11月13日)

🐞 Bug Fixes

• modelfit: fix dask detection logic (a5b74d1)

[main 3653f00] bump: version 0.4.0 → 0.4.1
3 files changed, 8 insertions(+), 2 deletions(-)

v0.4.0 (2025年11月13日)

✨ Features

• modelfit: add support for providing weights as DataArrays (76d13e5)

  Weights can now be passed as DataArrays to modelfit, which are broadcasted to match the data being fitted.

[main 72da1c9] bump: version 0.3.0 → 0.4.0
3 files changed, 10 insertions(+), 2 deletions(-)

v0.3.0 (2025年09月07日)

💥 Breaking Changes

• Using modelfit with progress=True now requires the package to be installed with the progress optional dependency group, like pip install xarray-lmfit[progress]. (d7324c9)

• While adding dask support, this release drops support for rudimentary joblib-based parallelization across multiple data variables; this removes the parallel and parallel_kw arguments to modelfit. Use dask arrays as an alternative. (d3f90df)

✨ Features

• modelfit: Add rsquared to modelfit_stats by @newton-per-sqm (#19) (e5a8a1e)

• modelfit: properly support dask and drop support for joblib-based parallelization (d3f90df)

  modelfit now supports dask arrays properly with minimal serialization overhead.

♻️ Code Refactor

• modelfit: make tqdm an optional dependency (#20) (d7324c9)

  The tqdm package which provides the progress bar when progress=True is now an optional dependency. If not installed, passing progress=True to modelfit will now result in an error.

[main 1f8eb91] bump: version 0.2.3 → 0.3.0
3 files changed, 15 insertions(+), 3 deletions(-)

Contributors

• @newton-per-sqm

v0.2.3 (2025年06月11日)

🐞 Bug Fixes

• sort dimension order in output to maintain original order (c2a683f)

• io: correctly handle saving and loading fit results output from Dataset.xlm.modelfit() (77acadf)

[main ff5856f] bump: version 0.2.2 → 0.2.3
3 files changed, 10 insertions(+), 2 deletions(-)

v0.2.2 (2025年04月28日)

♻️ Code Refactor

• add quotes to type hints for deferred loading (#10) (e0b515c)

[main 1c060b0] bump: version 0.2.1 → 0.2.2
2 files changed, 7 insertions(+), 1 deletion(-)