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0.4.0 (2021-06-22)

  • Added a possibility to serve a trained model using FastAPI
  • Updated cli
  • Fixed bugs
  • Added more unit tests
  • migrated to gh actions
  • migrated to poetry

0.3.1 (2020-10-31)

  • Added support for multiple data types (excel, json and html)
  • Added igel gui as a command
  • Integrated igel UI

0.3.0 (2020-10-15)

  • Provided a way to use reproducible results
  • Added support for random state generation
  • Fixed bug in dataset options
  • Linked Igel-UI

0.2.9 (2020-10-12)

  • Fixed bug in clustering
  • added a clustering example using kmeans
  • added support for clustering arguments

0.2.8 (2020-10-09)

  • implemented hyperparameter search
  • added a hyperparameter example

0.2.7 (2020-10-05)

  • removed colorama (since it was causing bugs on jupyter)
  • improved interactive mode
  • added commands to get version and infos about the package

0.2.6 (2020-10-04)

  • added interactive mode in cli
  • added colors in cli to improve readability
  • updated setup

0.2.5 (2020-10-03)

  • fixed igel initialization step
  • updated examples
  • added gids to readme

0.2.4 (2020-09-28)

  • added support for json as a configuration file
  • added support for providing read data options
  • added CV class support
  • added cross validation support

0.2.3 (2020-09-26)

  • added clustering support
  • all clustering classes of sklearn are now supported

0.2.2 (2020-09-23)

  • added init command
  • users can get started quickly by getting a default yaml file "on the fly"

0.2.1 (2020-09-21)

  • added support for other ensemble models like adaboost, extra trees etc..

0.2.0 (2020-09-19)

  • added the experiment command
  • fixed bugs in predict
  • fixed sphinx docs dependencies

0.1.9 (2020-09-18)

  • added support for multioutput regression and classification
  • fixed bug in preparing predict data
  • provided a way to evaluate models
  • changed class from IgelModel to Igel
  • updated igel cli

0.1.8 (2020-09-13)

  • fixed predict function bugs and added examples

0.1.7 (2020-09-12)

  • implemented optional arguments in sklearn models

0.1.5 (2020-09-10)

  • implemented encoding and scaling methods

0.1.4 (2020-09-08)

  • support for all sklearn models

0.1.3 (2020-09-07)

  • implemented basic dataset operations

0.1.0 (2020-09-05)

  • stable release with an end to end pipeline

0.0.6 (2020-09-01)

  • Added validation on arguments and provided an example

0.0.5 (2020-08-31)

  • Added logging and changed file keyword to yaml_file

0.0.3 (2020-08-30)

  • First functional package

0.0.1 (2020-08-27)

  • First release on PyPI.