v0.6.1

v0.6.1 Feb 15, 2019

• Cumulative primitives (#410)
• Entity.query_by_values now preserves row order of underlying data (#428)
• Implementing Country Code and Sub Region Codes as variable types (#430)
• Added IPAddress and EmailAddress variable types (#426)
• Install data and dependencies (#403)
• Add TimeSinceFirst, fix TimeSinceLast (#388)
• Allow user to pass in desired feature return types (#372)
• Add new configuration object (#401)
• Replace NUnique get_function (#434)
• _calculate_idenity_features now only returns the features asked for, instead of the entire entity (#429)
• Primitive function name uniqueness (#424)
• Update NumCharacters and NumWords primitives (#419)
• Removed Variable.dtype (#416, #433)
• Change to zipcode rep, str for pandas (#418)
• Remove pandas version upper bound (#408)
• Make S3 dependencies optional (#404)
• Check that agg_primitives and trans_primitives are right primitive type (#397)
• Mean primitive changes (#395)
• Fix transform stacking on multi-output aggregation (#394)
• Fix list_primitives (#391)
• Handle graphviz dependency (#389, #396, #398)
• Testing updates (#402, #417, #433)
• Documentation updates (#400, #409, #415, #417, #420, #421, #422, #431)

Thanks to the following people for contributing to this release: @CharlesBradshaw, @csala, @floscha, @gsheni, @jxwolstenholme, @kmax12, @RogerTangos, @rwedge

v0.6.0

v0.6.0 Jan 30, 2018

• Primitive refactor (#364)
• Mean ignore NaNs (#379)
• Plotting entitysets (#382)
• Add seed features later in DFS process (#357)
• Multiple output column features (#376)
• Add ZipCode Variable Type (#367)
• Add primitive.get_filepath and example of primitive loading data from external files (#380)
• Transform primitives take series as input (#385)
• Update dependency requirements (#378, #383, #386)
• Add modulo to override tests (#384)
• Update documentation (#368, #377)
• Update README.md (#366, #373)
• Update CI tests (#359, #360, #375)

Thanks to the following people for contributing to this release: @floscha, @gsheni, @kmax12, @RogerTangos, @rwedge

v0.5.1

v0.5.1 Dec 17, 2018

• Add missing dependencies (#353)
• Move comment to note in documentation (#352)

v0.5.0

v0.5.0 Dec 17, 2018

• Add specific error for duplicate additional/copy_variables in normalize_entity (#348)
• Removed EntitySet._import_from_dataframe (#346)
• Removed time_index_reduce parameter (#344)
• Allow installation of additional primitives (#326)
• Fix DatetimeIndex variable conversion (#342)
• Update Sklearn DFS Transformer (#343)
• Clean up entity creation logic (#336)
• remove casting to list in transform feature calculation (#330)
• Fix sklearn wrapper (#335)
• Add readme to pypi
• Update conda docs after move to conda-forge (#334)
• Add wrapper for scikit-learn Pipelines (#323)
• Remove parse_date_cols parameter from EntitySet._import_from_dataframe (#333)

Thanks to the following people for contributing to this release: @bukosabino, @georgewambold, @gsheni, @jeff-hernandez, @kmax12, and @rwedge.

v0.4.0

v0.4.0 Oct 31, 2018

• Remove ft.utils.gen_utils.getsize and make pympler a test requirement (#299)
• Update requirements.txt (#298)
• Refactor EntitySet.find_path(...) (#295)
• Clean up unused methods (#293)
• Remove unused parents property of Entity (#283)
• Removed relationships parameter (#284)
• Improve time index validation (#285)
• Encode features with "unknown" class in categorical (#287)
• Allow where clauses on direct features in Deep Feature Synthesis (#279)
• Change to fullargsspec (#288)
• Parallel verbose fixes (#282)
• Update tests for python 3.7 (#277)
• Check duplicate rows cutoff times (#276)
• Load retail demo data using compressed file (#271)

v0.3.1

v0.3.1 Sept 28, 2018

• Handling time rewrite (#245)
• Update deep_feature_synthesis.py (#249)
• Handling return type when creating features from DatetimeTimeIndex (#266)
• Update retail.py (#259)
• Improve Consistency of Transform Primitives (#236)
• Update demo docstrings (#268)
• Handle non-string column names (#255)
• Clean up merging of aggregation primitives (#250)
• Add tests for Entity methods (#262)
• Handle no child data when calculating aggregation features with multiple arguments (#264)
• Add is_string utils function (#260)
• Update python versions to match docker container (#261)
• Handle where clause when no child data (#258)
• No longer cache demo csvs, remove config file (#257)
• Avoid stacking "expanding" primitives (#238)
• Use randomly generated names in retail csv (#233)
• Update README.md (#243)

v0.3.0

v0.3.0 Aug 27, 2018

• Improve performance of all feature calculations (#224)
• Update agg primitives to use more efficient functions (#215)
• Optimize metadata calculation (#229)
• More robust handling when no data at a cutoff time (#234)
• Workaround categorical merge (#231)
• Switch which CSV is associated with which variable (#228)
• Remove unused kwargs from query_by_values, filter_and_sort (#225)
• Remove convert_links_to_integers (#219)
• Add conda install instructions (#223, #227)
• Add example of using Dask to parallelize to docs (#221)

v0.2.2

v0.2.2 Aug 20, 2018

• Remove unnecessary check no related instances call and refactor (#209)
• Improve memory usage through support for pandas categorical types (#196)
• Bump minimum pandas version from 0.20.3 to 0.23.0 (#216)
• Better parallel memory warnings (#208, #214)
• Update demo datasets (#187, #201, #207)
• Make primitive lookup case insensitive (#213)
• Use capital name (#211)
• Set class name for Min (#206)
• Remove variable_types from normalize entity (#205)
• Handle parquet serialization with last time index (#204)
• Reset index of cutoff times in calculate feature matrix (#198)
• Check argument types for .normalize_entity (#195)
• Type checking ignore entities. (#193)

v0.2.1

v0.2.1 July 2, 2018

• Cpu count fix (#176)
• Update flight (#175)
• Move feature matrix calculation helper functions to separate file (#177)

v0.2.0

v0.2.0 June 22, 2018

• Multiprocessing (#170)
• Handle unicode encoding in repr throughout Featuretools (#161)
• Clean up EntitySet class (#145)
• Add support for building and uploading conda package (#167)
• Parquet serialization (#152)
• Remove variable stats (#171)
• Make sure index variable comes first (#168)
• No last time index update on normalize (#169)
• Remove list of times as on option for cutoff_time in calculate_feature_matrix (#165)
• Config does error checking to see if it can write to disk (#162)