Prepare release of 1.1.0

CHANGES.md

@@ -6,15 +6,22 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
 ## [Unreleased]
+### Added
+### Changed
+### Fixed
+
+## [1.1.0]
 
 ### Added
 
 - Added a [notebook](https://github.com/skorch-dev/skorch/blob/master/notebooks/Learning_Rate_Scheduler.ipynb) that shows how to use Learning Rate Scheduler in skorch.(#1074)
 
 ### Changed
 
-- All neural net classes now inherit from sklearn's [`BaseEstimator`](https://scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html). This is to support compatibility with sklearn 1.6.0 and above. Classification models additionally inherit from [`ClassifierMixin`](https://scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html) and regressors from [`RegressorMixin`](https://scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html).
-- When using the `ReduceLROnPlateau` learning rate scheduler, we now record the learning rate in the net history (`net.history[:, 'event_lr']` by default). It is now also possible to to step per batch, not only by epoch
+- All neural net classes now inherit from sklearn's [`BaseEstimator`](https://scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html). This is to support compatibility with sklearn 1.6.0 and above. Classification models additionally inherit from [`ClassifierMixin`](https://scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html) and regressors from [`RegressorMixin`](https://scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html). (#1078)
+- When using the `ReduceLROnPlateau` learning rate scheduler, we now record the learning rate in the net history (`net.history[:, 'event_lr']` by default). It is now also possible to to step per batch, not only by epoch (#1075)
+- The learning rate scheduler `.simulate()` method now supports adding step args which is useful when simulation policies such as `ReduceLROnPlateau` which expect metrics to base their schedule on. (#1077)
+- Removed deprecated `skorch.callbacks.scoring.cache_net_infer` (#1088)
 
 ### Fixed
 
@@ -358,3 +365,4 @@ The 1.0.0 release of skorch is here. We think that skorch is at a very stable po
 [0.14.0]: https://github.com/skorch-dev/skorch/compare/v0.13.0...v0.14.0
 [0.15.0]: https://github.com/skorch-dev/skorch/compare/v0.14.0...v0.15.0
 [1.0.0]: https://github.com/skorch-dev/skorch/compare/v0.15.0...v1.0.0
+[1.1.0]: https://github.com/skorch-dev/skorch/compare/v1.0.0...v1.1.0

VERSION

@@ -1 +1 @@
-1.0.1dev
+1.1.0

skorch/callbacks/scoring.py

@@ -22,41 +22,6 @@
 __all__ = ['BatchScoring', 'EpochScoring', 'PassthroughScoring']
 
 
-@contextmanager
-def cache_net_infer(net, use_caching, y_preds):
-    """Caching context for ``skorch.NeuralNet`` instance.
-
-    Returns a modified version of the net whose ``infer`` method will
-    subsequently return cached predictions. Leaving the context will
-    undo the overwrite of the ``infer`` method.
-
-    Deprecated.
-
-    """
-    # TODO: remove this function
-
-    warnings.warn(
-        "cache_net_infer is no longer uesd to provide caching for "
-        "the scoring callbacks and will hence be removed in a "
-        "future release.",
-        DeprecationWarning,
-    )
-
-    if not use_caching:
-        yield net
-        return
-    y_preds = iter(y_preds)
-    net.infer = lambda *a, **kw: next(y_preds)
-
-    try:
-        yield net
-    finally:
-        # By setting net.infer we define an attribute `infer`
-        # that precedes the bound method `infer`. By deleting
-        # the entry from the attribute dict we undo this.
-        del net.__dict__['infer']
-
-
 @contextmanager
 def _cache_net_forward_iter(net, use_caching, y_preds):
     """Caching context for ``skorch.NeuralNet`` instance.