featuretools

v0.12.0 Oct 31, 2019

• Enhancements
  • Added First primitive (#770)
  • Added Entropy aggregation primitive (#779)
  • Allow custom naming for multi-output primitives (#780)
• Fixes
  • Prevents user from removing base entity time index using additional_variables (#768)
  • Fixes error when a multioutput primitive was supplied to dfs as a groupby trans primitive (#786)
• Changes
  • Drop Python 2 support (#759)
  • Add unit parameter to AvgTimeBetween (#771)
  • Require Pandas 0.24.1 or higher (#787)
• Documentation Changes
  • Update featuretools slack link (#765)
  • Set up repo to use Read the Docs (#776)
  • Add First primitive to API reference docs (#782)
• Testing Changes
  • CircleCI fixes (#774)
  • Disable PIP progress bars (#775)

Thanks to the following people for contributing to this release:
@ablacke-ayx, @BoopBoopBeepBoop, @jeffzi, @kmax12, @rwedge, @thehomebrewnerd, @twdobson

v0.4.1 Nov 29, 2018

• Resolve bug preventing using first column as index by default (#308)
• Handle return type when creating features from Id variables (#318)
• Make id an optional parameter of EntitySet constructor (#324)
• Handle primitives with same function being applied to same column (#321)
• Update requirements (#328)
• Clean up DFS arguments (#319)
• Clean up Pandas Backend (#302)
• Update properties of cumulative transform primitives (#320)
• Feature stability between versions documentation (#316)
• Add download count to GitHub readme (#310)
• Fixed #297 update tests to check error strings (#303)
• Remove usage of fixtures in agg primitive tests (#325)

v0.11.0 Sep 30, 2019

• Enhancements
  • Improve how files are copied and written (#721)
  • Add number of rows to graph in entityset.plot (#727)
  • Added support for pandas DateOffsets in DFS and Timedelta (#732)
  • Enable feature-specific top_n value using a dictionary in encode_features (#735)
  • Added progress_callback parameter to dfs() and calculate_feature_matrix() (#739 #745)
  • Enable specifying primitives on a per column or per entity basis (#748)
• Fixes
  • Fixed entity set deserialization (#720)
  • Added error message when DateTimeIndex is a variable but not set as the time_index (#723)
  • Fixed CumCount and other group-by transform primitives that take ID as input (#733, #754)
  • Fix progress bar undercounting (#743)
• Updated training_window error assertion to only check against observations (#728)
  • Don't delete the whole destination folder while saving entityset (#717)
• Changes
  • Raise warning and not error on schema version mismatch (#718)
  • Change feature calculation to return in order of instance ids provided (#676)
  • Removed time remaining from displayed progress bar in dfs() and calculate_feature_matrix() (#739)
  • Raise warning in normalize_entity() when time_index of base_entity has an invalid type (#749)
  • Remove toolz as a direct dependency (#755)
  • Allow boolean variable types to be used in the Multiply primitive (#756)
• Documentation Changes
  • Updated URL for Compose (#716)
• Testing Changes
  • Update dependencies (#738, #741, #747)

Thanks to the following people for contributing to this release: @angela97lin, @chidauri, @christopherbunn, @frances-h, @jeff-hernandez, @kmax12, @MarcoGorelli, @rwedge, @thehomebrewnerd

v0.10.1 Aug 25, 2019

• Fixes
  • Fix serialized LatLong data being loaded as strings (#712)
• Documentation Changes
  • Fixed FAQ cell output (#710)

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

v0.10.0 Aug 19, 2019

The next non-bugfix release of Featuretools will not support Python 2

• Enhancements
  • Give more frequent progress bar updates and update chunk size behavior (#631, #696)
  • Added drop_first as param in encode_features (#647)
  • Added support for stacking multi-output primitives (#679)
  • Generate transform features of direct features (#623)
  • Added serializing and deserializing from S3 and deserializing from URLs (#685)
  • Added nlp_primitives as an add-on library (#704)
  • Added AutoNormalize to Featuretools plugins (#699)
  • Added functionality for relative units (month/year) in Timedelta (#692)
  • Added categorical-encoding as an add-on library (#700)
• Fixes
  • Fix performance regression in DFS (#637)
  • Fix deserialization of feature relationship path (#665)
  • Set index after adding ancestor relationship variables (#668)
  • Fix user-supplied variable_types modification in Entity init (#675)
  • Don't calculate dependencies of unnecessary features (#667)
  • Prevent normalize entity's new entity having same index as base entity (#681)
  • Update variable type inference to better check for string values (#683)
• Changes
  • Moved dask, distributed imports (#634)
• Documentation Changes
  • Miscellaneous changes (#641, #658)
  • Modified doc_string of top_n in encoding (#648)
  • Hyperlinked ComposeML (#653)
  • Added FAQ (#620, #677)
  • Fixed FAQ question with multiple question marks (#673)
• Testing Changes
  • Add master, and release tests for premium primitives (#660, #669)
  • Miscellaneous changes (#672, #674)

Thanks to the following people for contributing to this release:
@alexjwang, @allisonportis, @ayushpatidar, @CJStadler, @ctduffy, @gsheni, @jeff-hernandez, @jeremyliweishih, @kmax12, @rwedge, @zhxt95

v0.9.1 July 3, 2019

• Enhancements
  • Speedup groupby transform calculations (#609)
  • Generate features along all paths when there are multiple paths between entities (#600, #608)
• Fixes
  • Select columns of dataframe using a list (#615)
  • Change type of features calculated on Index features to Categorical (#602)
  • Filter dataframes through forward relationships (#625)
  • Specify Dask version in requirements for python 2 (#627)
  • Keep dataframe sorted by time during feature calculation (#626)
  • Fix bug in encode_features that created duplicate columns of
    features with multiple outputs (#622)
• Changes
  • Remove unused variance_selection.py file (#613)
  • Remove Timedelta data param (#619)
  • Remove DaysSince primitive (#628)
• Documentation Changes
  • Add installation instructions for add-on libraries (#617)
  • Miscellaneous changes (#632, #639)
• Testing Changes
  • Miscellaneous changes (#595, #612)

Thanks to the following people for contributing to this release: @CJStadler, @gsheni, @kkleidal, @kmax12, @rwedge

v0.9.0 June 19, 2019

• Enhancements
  • Add unit parameter to timesince primitives (#558)
  • Add ability to install optional add on libraries (#551)
  • Load and save features from open files and strings (#566)
  • Support custom variable types (#571)
  • Support entitysets which have multiple paths between two entities (#572, #544)
  • Added show_info function, more output information added to CLI featuretools info (#525)
• Fixes
  • Normalize_entity specifies error when 'make_time_index' is an invalid string (#550)
  • Schema version added for entityset serialization (#586)
  • Renamed features have names correctly serialized (#585)
  • Improved error message for index/time_index being the same column in normalize_entity and entity_from_dataframe (#583)
  • Removed all mentions of allow_where (#587, #588)
  • Removed unused variable in normalize entity (#589)
  • Change time since return type to numeric (#606)
• Changes
  • Refactor get_pandas_data_slice to take single entity (#547)
  • Updates TimeSincePrevious and Diff Primitives (#561)
  • Remove unecessary time_last variable (#546)
• Documentation Changes
  • Add Featuretools Enterprise to documentation (#563)
  • Miscellaneous changes (#552, #573, #577, #599)
• Testing Changes
  • Miscellaneous changes (#559, #569, #570, #574, #584, #590)

Thanks to the following people for contributing to this release:
@alexjwang, @allisonportis, @CJStadler, @ctduffy, @gsheni, @kmax12, @rwedge

v0.8.0 May 17, 2019

• Rename NUnique to NumUnique (#510)
• Serialize features as JSON (#532)
• Drop all variables at once in normalize_entity (#533)
• Remove unnecessary sorting from normalize_entity (#535)
• Features cache their names (#536)
• Only calculate features for instances before cutoff (#523)
• Remove all relative imports (#530)
• Added FullName Variable Type (#506)
• Add error message when target entity does not exist (#520)
• New demo links (#542)
• Remove duplicate features check in DFS (#538)
• featuretools_primitives entry point expects list of primitive classes (#529)
• Update ALL_VARIABLE_TYPES list (#526)
• More Informative N Jobs Prints and Warnings (#511)
• Update sklearn version requirements (#541)
• Update Makefile (#519)
• Remove unused parameter in Entity._handle_time (#524)
• Remove build_ext code from setup.py (#513)
• Documentation updates (#512, #514, #515, #521, #522, #527, #545)
• Testing updates (#509, #516, #517, #539)

Thanks to the following people for contributing to this release: @bphi, @CharlesBradshaw, @CJStadler, @glentennis, @gsheni, @kmax12, @rwedge

v0.7.1 Apr 24, 2019

• Automatically generate feature name for controllable primitives (#481)
• Primitive docstring updates (#489, #492, #494, #495)
• Change primitive functions that returned strings to return functions (#499)
• CLI customizable via entrypoints (#493)
• Improve calculation of aggregation features on grandchildren (#479)
• Refactor entrypoints to use decorator (#483)
• Include doctests in testing suite (#491)
• Documentation updates (#490)
• Update how standard primitives are imported internally (#482)

Thanks to the following people for contributing to this release: @bukosabino, @CharlesBradshaw, @glentennis, @gsheni, @jeff-hernandez, @kmax12, @minkvsky, @rwedge, @thehomebrewnerd

v0.7.0 Mar 29, 2019

• Improve Entity Set Serialization (#361)
• Support calling a primitive instance's function directly (#461, #468)
• Support other libraries extending featuretools functionality via entrypoints (#452)
• Remove featuretools install command (#475)
• Add GroupByTransformFeature (#455, #472, #476)
• Update Haversine Primitive (#435, #462)
• Add commutative argument to SubtractNumeric and DivideNumeric primitives (#457)
• Add FilePath variable_type (#470)
• Add PhoneNumber, DateOfBirth, URL variable types (#447)
• Generalize infer_variable_type, convert_variable_data and convert_all_variable_data methods (#423)
• Documentation updates (#438, #446, #458, #469)
• Testing updates (#440, #444, #445, #459)

Thanks to the following people for contributing to this release: @bukosabino, @CharlesBradshaw, @ColCarroll, @glentennis, @grayskripko, @gsheni, @jeff-hernandez, @jrkinley, @kmax12, @RogerTangos, @rwedge

Breaking Changes

• ft.dfs now has a groupby_trans_primitives parameter that DFS uses to automatically construct features that group by an ID column and then apply a transform primitive to search group. This change applies to the following primitives: CumSum, CumCount, CumMean, CumMin, and CumMax.

  Previous behavior

  .. code-block:: python

    ft.dfs(entityset=es,
           target_entity='customers',
           trans_primitives=["cum_mean"])
  

  New behavior

  .. code-block:: python

    ft.dfs(entityset=es,
           target_entity='customers',
           groupby_trans_primitives=["cum_mean"])
  

• Related to the above change, cumulative transform features are now defined using a new feature class, GroupByTransformFeature.

  Previous behavior

  .. code-block:: python

    ft.Feature([base_feature, groupby_feature], primitive=CumulativePrimitive)
  

  New behavior

  .. code-block:: python

    ft.Feature(base_feature, groupby=groupby_feature, primitive=CumulativePrimitive)
  

Summary:

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 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 Dec 17, 2018

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

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 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 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 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 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 July 2, 2018

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

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)