Osprey

Latest version: v1.1.0

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1.2.0dev

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API Changes
~~~~~~~~~~~
+ ``n_folds`` and ``n_iter`` parameters have been renamed to ``n_splits`` to
conform to the ``sklearn`` API.

New Features
~~~~~~~~~~~~
+ Added support for ``TimeSeriesSplit`` and ``LeavePOut`` cross-validators.
+ Improved ``osprey dump`` JSON output. The hyperparameters for each run are now stored along all
the other settings in the same dictionary, allowing for subsequent easier loading and plotting.
+ Added ``max_param_suggestion_retries`` entry to the config file. This limits the number of times that
``strategy.suggest`` is called when attempting to produce a trial with a set of params not previously
tested in the history.


Bug Fixes
~~~~~~~~~

1.1.0

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API Changes
~~~~~~~~~~~
+ Implemented ``Config.trial_results``, allowing convenient retrieval of
trials as a ``pandas.DataFrame`` (`190 <https://github.com/msmbuilder/osprey/pull/190>`_)

New Features
~~~~~~~~~~~~
+ Added random seed via CLI (`196 <https://github.com/msmbuilder/osprey/pull/196>`_)
+ Added ``DSVDatasetLoader`` (`175 <https://github.com/msmbuilder/osprey/pull/175>`_)
+ Added ``random_seed`` as a configurable parameter (`164 <https://github.com/msmbuilder/osprey/pull/164>`_)

Bug Fixes
~~~~~~~~~
+ Fixed issue where ``random_seed`` was not passed to estimator (`198 <https://github.com/msmbuilder/osprey/pull/198>`_)
+ Fixed ``bokeh.io.vplot`` deprecation warning (`192 <https://github.com/msmbuilder/osprey/pull/192>`_)
+ Fixed ungraceful failures when using GP with a single choice in
search space (`191 <https://github.com/msmbuilder/osprey/pull/191>`_)
+ Fixed parsing of ``jumpvar`` (`164 <https://github.com/msmbuilder/osprey/pull/164>`_)

1.0.0

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This is the first stable version of Osprey

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