Version 0.10.1

• ADD #175: Automatically adds the docstring of scikit-learn objects to flow and its parameters.
• ADD #737: New evaluation listing call that includes the hyperparameter settings.
• ADD #744: It is now possible to only issue a warning and not raise an exception if the package
  versions for a flow are not met when deserializing it.
• ADD #783: The URL to download the predictions for a run is now stored in the run object.
• ADD #790: Adds the uploader name and id as new filtering options for list_evaluations.
• ADD #792: New convenience function openml.flow.get_flow_id.
• ADD #861: Debug-level log information now being written to a file in the cache directory (at most 2 MB).
• DOC #778: Introduces instructions on how to publish an extension to support other libraries
  than scikit-learn.
• DOC #785: The examples section is completely restructured into simple simple examples, advanced
  examples and examples showcasing the use of OpenML-Python to reproduce papers which were done
  with OpenML-Python.
• DOC #788: New example on manually iterating through the split of a task.
• DOC #789: Improve the usage of dataframes in the examples.
• DOC #791: New example for the paper Efficient and Robust Automated Machine Learning by Feurer
  et al. (2015).
• DOC #803: New example for the paper Don’t Rule Out Simple Models Prematurely:
  A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML by Benjamin
  Strang et al. (2018).
• DOC #808: New example demonstrating basic use cases of a dataset.
• DOC #810: New example demonstrating the use of benchmarking studies and suites.
• DOC #832: New example for the paper Scalable Hyperparameter Transfer Learning by
  Valerio Perrone et al. (2019)
• DOC #834: New example showing how to plot the loss surface for a support vector machine.
• FIX #305: Do not require the external version in the flow XML when loading an object.
• FIX #734: Better handling of "old" flows.
• FIX #736: Attach a StreamHandler to the openml logger instead of the root logger.
• FIX #758: Fixes an error which made the client API crash when loading a sparse data with
  categorical variables.
• FIX #779: Do not fail on corrupt pickle
• FIX #782: Assign the study id to the correct class attribute.
• FIX #819: Automatically convert column names to type string when uploading a dataset.
• FIX #820: Make __repr__ work for datasets which do not have an id.
• MAINT #796: Rename an argument to make the function list_evaluations more consistent.
• MAINT #811: Print the full error message given by the server.
• MAINT #828: Create base class for OpenML entity classes.
• MAINT #829: Reduce the number of data conversion warnings.
• MAINT #831: Warn if there's an empty flow description when publishing a flow.
• MAINT #837: Also print the flow XML if a flow fails to validate.
• FIX #838: Fix list_evaluations_setups to work when evaluations are not a 100 multiple.
• FIX #847: Fixes an issue where the client API would crash when trying to download a dataset
  when there are no qualities available on the server.
• MAINT #849: Move logic of most different publish functions into the base class.
• MAINt #850: Remove outdated test code.

Version 0.10.0

v0.10.0

MAINT prepare new release (#764)

Version 0.8.0

Merge pull request #617 from openml/develop

[WIP] New release

v0.5.0

Version that complies with the code provided in 'OpenML Benchmarking Suites and the OpenML100' (https://arxiv.org/abs/1708.03731)