Release v1.5.0 (#1981)

Release PR for v1.5.0

- version number bump
- changelog

Author: phoeenniixx

CHANGELOG.md

@@ -1,5 +1,95 @@
 # Release Notes
 
+## v1.5.0
+Release focusing on:
+
+* python 3.9 end-of-life
+* changes to testing framework.
+* New estimators in `pytorch-forecasting` *v1* and *beta v2*.
+
+### Highlights
+#### `pytorch-forecasting` ***v1.5.0***
+* Kolmogorov Arnold Block for `NBeats` by @Sohaib-Ahmed21 in https://github.com/sktime/pytorch-forecasting/pull/1751
+* `xLSTMTime` implementation by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1709
+
+#### `pytorch-forecasting` ***Beta v2***
+* Implementing D2 data module, tests and `TimeXer` model from `tslib`  for PTF v2 by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1836
+* Add `DLinear` model from `tslib` for PTF v2 by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1874
+* Add `Samformer` model for  PTF v2 from DSIPTS by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1952
+* `Tide` model in PTF v2 interface from `dsipts` by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1889
+
+### Enhancements
+* [ENH] Test framework for `ptf-v2` by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1841
+* [ENH] Implementing D2 data module, tests and `TimeXer` model from `tslib`  for v2 by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1836
+* [ENH] `DLinear` model from `tslib` by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1874
+* [ENH] Enable `DeprecationWarning` , `PendingDeprecationWarning` and `FutureWarning` when running pytest by @fnhirwa in https://github.com/sktime/pytorch-forecasting/pull/1912
+* [ENH] Suppress `__array_wrap__` warning in `numpy 2` for `torch` and `pandas` by @fnhirwa in https://github.com/sktime/pytorch-forecasting/pull/1911
+* [ENH] Suppress PyTorch deprecation warning: UserWarning: `nn.init.constant` is now deprecated in favor of `nn.init.constant_` by @fnhirwa in https://github.com/sktime/pytorch-forecasting/pull/1915
+* [ENH] two-way linkage of model package classes and neural network classes by @fkiraly in https://github.com/sktime/pytorch-forecasting/pull/1888
+* [ENH] Add a copy of `BaseFixtureGenerator` to `pytorch-forecasting/tests/_base` as a true base class by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1919
+* [ENH] Remove references to model from the `BaseFixtureGenerator` by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1923
+* [ENH] Improve test framework for v1 models by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1908
+* [ENH] `xLSTMTime` implementation by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1709
+* [ENH] Improve test framework for v1 metrics by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1907
+* [ENH] `Tide` model in `v2` interface by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1889
+* [ENH] docstring test suite for functions by @fkiraly in https://github.com/sktime/pytorch-forecasting/pull/1955
+* [ENH] Add missing test for forward output of `TimeXer` as proposed in #1936 by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1951
+* [ENH] Add `Samformer` model for  PTF v2 from DSIPTS by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1952
+* [ENH] Kolmogorov Arnold Block for NBeats by @Sohaib-Ahmed21 in https://github.com/sktime/pytorch-forecasting/pull/1751
+* [ENH] Standardize output format for `tslib` v2 models by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1965
+* [ENH] Add `Metrics` support to `ptf-v2` by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1960
+* [ENH] `check_estimator` utility for checking new estimators against unified API contract by @fkiraly in https://github.com/sktime/pytorch-forecasting/pull/1954
+* [ENH] Standardize testing of estimator outputs and skip tests for non-conformant estimators by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1971
+
+### Fixes
+* [BUG] Fix issue with `EncodeNormalizer(method='standard', center=False)` for scale value by @fnhirwa in https://github.com/sktime/pytorch-forecasting/pull/1902
+* [BUG] fixed memory leak in `TimeSeriesDataset` by using `@cached_property` and clean-up of index construction by @Vishnu-Rangiah in https://github.com/sktime/pytorch-forecasting/pull/1905
+* [BUG] Fix issue with `plot_prediction_actual_by_variable`  unsupported operand type(s) for *: 'numpy.ndarray' and 'Tensor' by @fnhirwa in https://github.com/sktime/pytorch-forecasting/pull/1903
+* [BUG] Correcly set lagged variables to known when lag >= horizon by @hubkrieb in https://github.com/sktime/pytorch-forecasting/pull/1910
+* [BUG] Updated base_model.py to account for importing error by @Himanshu-Verma-ds in https://github.com/sktime/pytorch-forecasting/pull/1488
+* [BUG][DOC] Fix documentation: pass loss argument to BaseModel in custom models tutorial example by @PranavBhatP in https://github.com/sktime/pytorch-forecasting/pull/1931
+* [BUG] fix broken version inspection if package distribution has `None` name by @lohraspco in https://github.com/sktime/pytorch-forecasting/pull/1926
+* [BUG] fix sporadic `tkinter` failures in CI by @fkiraly in https://github.com/sktime/pytorch-forecasting/pull/1937
+* [BUG] Device inconstency in `MQF2DistributionLoss` raising: RuntimeError: Expected all tensors to be on the same device by @fnhirwa in https://github.com/sktime/pytorch-forecasting/pull/1916
+* [BUG] fixed memory leak in BaseModel by detach some tensor by @zju-ys in https://github.com/sktime/pytorch-forecasting/pull/1924
+* [BUG] Fix `TimeSeriesDataSet` wrong inferred `tensor` `dtype` when `time_idx` is included in features by @cngmid in https://github.com/sktime/pytorch-forecasting/pull/1950
+* [BUG] standardize output format of xLSTMTime estimator for point predictions by @sanskarmodi8 in https://github.com/sktime/pytorch-forecasting/pull/1978
+* [BUG] Standardize output format of NBeats and NBeatsKAN estimators by @sanskarmodi8 in https://github.com/sktime/pytorch-forecasting/pull/1977
+
+### Documentation
+* [DOC] Correct documentation for N-BEATS by @Pinaka07 in https://github.com/sktime/pytorch-forecasting/pull/1914
+* [DOC] 1.1.0 changelog - missing entries by @jdb78 in https://github.com/sktime/pytorch-forecasting/pull/1512
+* [DOC] fix minor typo in changelog by @fkiraly in https://github.com/sktime/pytorch-forecasting/pull/1917
+* [DOC] Missing parenthesis in docstring of MASE by @caph1993 in https://github.com/sktime/pytorch-forecasting/pull/1944
+
+### Maintenance
+* [MNT] remove import conditionals for `python 3.6` by @fkiraly in https://github.com/sktime/pytorch-forecasting/pull/1928
+* [MNT] [Dependabot](deps): bump actions/download-artifact from 4 to 5 by @dependabot[bot] in https://github.com/sktime/pytorch-forecasting/pull/1939
+* [MNT] [Dependabot](deps): Bump actions/checkout from 4 to 5 by @dependabot[bot] in https://github.com/sktime/pytorch-forecasting/pull/1942
+* [MNT] Check versions in wheels workflow by @szepeviktor in https://github.com/sktime/pytorch-forecasting/pull/1948
+* [MNT] [Dependabot](deps): Bump actions/setup-python from 5 to 6 by @dependabot[bot] in https://github.com/sktime/pytorch-forecasting/pull/1963
+* [MNT] Update CODEOWNERS with current core dev state by @fkiraly in https://github.com/sktime/pytorch-forecasting/pull/1972
+* [MNT] python 3.9 end-of-life by @phoeenniixx in https://github.com/sktime/pytorch-forecasting/pull/1980
+
+### All Contributors
+@agobbifbk,
+@caph1993,
+@cngmid,
+@fkiraly,
+@fnhirwa,
+@Himanshu-Verma-ds,
+@hubkrieb,
+@jdb78,
+@lohraspco,
+@phoeenniixx,
+@Pinaka07,
+@PranavBhatP,
+@sanskarmodi8,
+@Sohaib-Ahmed21,
+@szepeviktor
+@Vishnu-Rangiah,
+@zju-ys
+
 ## v1.4.0
 
 Feature and maintenance update.

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "pytorch-forecasting"
 readme = "README.md"         # Markdown files are supported
-version = "1.4.0"            # is being replaced automatically
+version = "1.5.0"            # is being replaced automatically
 
 authors = [
   {name = "Jan Beitner"},

pytorch_forecasting/__init__.py

@@ -2,7 +2,7 @@
 PyTorch Forecasting package for timeseries forecasting with PyTorch.
 """
 
-__version__ = "1.4.0"
+__version__ = "1.5.0"
 
 from pytorch_forecasting.data import (
     EncoderNormalizer,