Release Notes

v0.10.1 Jan 6, 2023

• Changes

  • Update create feedstock pull request workflow (#364)

Thanks to the following people for contributing to this release: @gsheni

v0.10.0 Jan 6, 2023

• Fixes

  • Update to avoid error with a categorical target with unused categories (#349)

• Changes

  • Transition to pure pyproject.toml for project metadata (#351)

  • Change target_dataframe_name parameter name to target_dataframe_index (#353)

  • Delete MANIFEST.in and .coveragerc from root directory (#359)

• Documentation Changes

  • Temporarily restrict scikit-learn version to <1.2.0 in dev requirements to allow docs to build (#361)

• Testing Changes

  • Add create feedstock PR workflow (#346)

Thanks to the following people for contributing to this release: @gsheni, @thehomebrewnerd

Breaking Changes

• The parameter target_dataframe_name has been changed to target_dataframe_index in LabelMaker.

v0.9.1 Nov 2, 2022

• Changes

  • Explicitly set series dtype for LabelTimes.target_types (#337)

• Documentation Changes

  • Fix docs build and clean up release notes (#336)

Thanks to the following people for contributing to this release: @thehomebrewnerd

v0.9.0 May 12, 2022

Warning

Compose will no longer support Python 3.7.

• Changes

  • Update ipython to 7.31.1 (#286)

  • Transition to pyproject.toml and setup.cfg (#310, #313)

  • Add support for python 3.10 (#318)

  • Fix Makefile output filepath (#320)

• Documentation Changes

  • Update README.md with Alteryx link (#289, #290, #314)

  • Add in-line tabs and copy-paste functionality to docs (#293)

  • Update nbconvert to version 6.4.5 to fix docs build issue (#305)

  • Update slack invite link to new (#316)

  • Update release.md with correct process (#324)

• Testing Changes

  • Add woodwork to test-requirements.txt (#296)

  • Upgrade black version to 22.3.0 to fix linting issue (#309)

Thanks to the following people for contributing to this release: @gsheni, @mingdavidqi, @thehomebrewnerd

v0.8.0 Jan 20, 2022

• Enhancements

  • Add issue templates for bugs, feature requests and documentation improvements (#271)

• Changes

  • Update pip to 21.3.1 for test requirements (#265)

  • Restrict to Python 3.7 to 3.9 (#265)

  • Use black and remove autopep8 for linting (#265)

  • Update minimum dependency checker with the correct reviewers (#267)

  • Rename LabelMaker.target_entity to LabelMaker.target_dataframe_name (#276)

• Documentation Changes

  • Update install instructions to specify correct python versions (#265)

  • Update example notebooks to use latest Featuretools and EvalML APIs (#275)

• Testing Changes

  • Add unit test for dropping empty data slices (#280)

  • Add auto approve workflow for dependency updates (#281)

Thanks to the following people for contributing to this release: @gsheni, @jeff-hernandez, @thehomebrewnerd

Warning

Breaking Changes

• The target_entity attribute of LabelMaker has been renamed to target_dataframe_name.

v0.7.0 Nov 2, 2021

• Enhancements

  • Add maximum_data parameter to control when a search should stop (#216)

  • Add optional automatic update checker (#223, #229, #232)

  • Varying first cutoff time for each target group (#258)

• Documentation Changes

  • Update doc tutorials to the latest API changes (#227)

  • Pin documentation requirements to avoid warnings and breaking changes (#244)

• Testing Changes

  • Check if release notes were updated (#217)

  • Add minimum dependency checker to generate minimum requirement files (#218)

  • Add CI workflow for unit tests with minimum dependencies (#220)

  • Create separate worksflows for each CI job (#220)

  • Pass token to authorize uploading of codecov reports (#226)

  • Update minimum unit tests to run on all pull requests (#230)

  • Add workflow to check latest dependencies (#233)

  • Update reviewers for minimum and latest dependency checkers (#257)

Thanks to the following people for contributing to this release: @gsheni, @jeff-hernandez

v0.6.0 Feb 11, 2021

• Enhancements

  • Added description for continuous target distributions (#187)

• Fixes

  • Sorted label distribution in description (#188)

• Documentation Changes

  • Made logo easier to read (#182)

  • Added Alteryx footer to docs (#185, #186)

  • Updated tutorials to the latest API changes (#190, #198, #204)

  • Updated repository links to GitHub (#191)

  • Added help page to docs (#194)

  • Improved docs based on tech writer feedback (#195)

  • Added open graph info to docs (#203)

• Testing Changes

  • Migrated CI tests to Github Actions (#184, #189)

  • Updated tests to trigger on pull request events (#199)

Thanks to the following people for contributing to this release: @flowersw, @jeff-hernandez, @rwedge

v0.5.1 Sep 22, 2020

• Documentation Changes

  • Update F1 Macro in Turbofan Degradation Tutorial (#180).

  • Apply Pandas Docs Theme (#172).

  • Add Chicago Bike Tutorial (#157).

• Testing Changes

  • Test Doc Builds (#165)

v0.5.0 Aug 28, 2020

• Enhancements

  • Added Column-Based Windows (#151).

• Changes

  • Refactored Data Slice Generator (#150).

• Documentation Changes

  • Updated README (#164).

  • Updated Predict Next Purchase Demo (#154).

  • Updated Predict Turbofan Degradation Demo (#154).

Warning

Breaking Changes

• Attributes of the data slice context have changed. Inside a labeling function, the timestamps of a data slice can be referenced by ds.context.slice_start and ds.context.slice_stop. For more details, see Data Slice Context.

v0.4.0 Jul 2, 2020

• Enhancements

  • Target values can be sampled from each group (#138).

  • One of multiple targets can be selected (#147).

  • Labels can be binned using infinite edges represented as string (#133).

• Changes

  • The label times object was refactored to improve design and structure (#135).

Warning

Breaking Changes

• Loading label times from previous versions will result in an error.

v0.3.0 Jun 1, 2020

• Enhancements

  • Label Search for Multiple Targets (#130)

• Changes

  • Column renamed from cutoff_time to time (#139)

v0.2.0 Apr 23, 2020

• Changes

  • Dropped Support for Python 3.5 (#128)

  • Rename LabelTimes.name to LabelTimes.label_name (#126)

  • Support keyword arguments in Pandas methods. (#121)

• Documentation Changes

  • Improved data download in Predict Next Purchase (#76)

• Testing Changes

  • Added tests that use Python 3.8 in CirlceCI (#128)

Warning

Breaking Changes

• LabelTimes.name has been renamed to LabelTimes.label_name

v0.1.8 Mar 11, 2020

• Fixes

  • Support for Pandas 1.0

v0.1.7 Jan 31, 2020

• Enhancements

  • Added higher-level mappings to offsets.

  • Track settings for sample transforms.

• Fixes

  • Pinned Pandas version.

• Testing Changes

  • Moved Featuretools to test requirements.

v0.1.6 Oct 22, 2019

• Enhancements

  • Serialization for Label Times

• Fixes

  • Matplotlib Backend Fix

  • Sampling Label Times

• Documentation Changes

  • Added Data Slice Generator Guide

• Testing Changes

  • Integration Tests for Python Versions 3.6 and 3.7

v0.1.5 Sep 16, 2019

• Enhancements

  • Added Slice Generator

  • Added Seaborn Plots

  • Added Data Slice Context

  • Added Count per Group

• Documentation Changes

  • Updated README

  • Added Example: Predict Next Purchase

  • Added Example: Predict RUL

v0.1.4 Aug 7, 2019

• Enhancements

  • Added Sample Transform

  • Improved Progress Bar

  • Improved Label Times description

v0.1.3 Jul 9, 2019

• Enhancements

  • Improved documentation

  • Added testing for Featuretools compatibility

  • Improved description of Label Times

  • Refactored search in Label Maker

  • Improved testing for Label Transforms

v0.1.2 Jun 19, 2019

• Enhancements

  • Add dynamic progress bar

  • Add label transform for binning labels

  • Improve code coverage

  • Update documentation

v0.1.1 May 31, 2019

• Initial Release

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composeml.label_times.plots.LabelPlots.distribution