Releases: maks-sh/scikit-uplift
Releases · maks-sh/scikit-uplift
Version 0.5.1
Version 0.5.1
sklift.models
- 📝 Add docs page for ClassTransformationReg model.
sklift.datasets
- 🔨 Fix bug in fetch_x5 func.
User Guide
- 📝 Add page for Transformed Outcome approach.
Version 0.5.0
Version 0.5.0
sklift.models
- 🔥 Add ClassTransformationReg model by @mcullan and @ElisovaIra.
- 🔨 Add the ability to process a series with different indexes in the TwoModels by @flashlight101.
sklift.metrics
- 🔥 Add new metric Maximum profit uplift measure by @rooti123.
sklift.datasets
- 💥 Add cheсker based on hash for all datasets by @flashlight101.
- 📝 Add scheme of x5 dataframes.
Miscellaneous
- 📝 Improve Chinese tags by @00helloworld.
Version 0.4.1
Version 0.4.0
Version 0.4.0
sklift.metrics
- 🔥 Add make_uplift_scorer function for interacting with the module
sklearn.model_selectionby @wrapper228. - 🔥 Add new metric average_squared_deviation function by @Mogby.
sklift.viz
- 🔥 Added the ability to draw multiple plot on the same graph of plot_uplift_curve function and plot_qini_curve function by @flashlight101.
sklift.datasets
- 💥 Add new dataset fetch_megafon function by @ezhdi.
- 📝 Improve documentation of sklift.datasets by @flashlight101 and @ezhdi.
Miscellaneous
- 💥 Add new tutorial Example of usage model from sklift.models in sklearn.model_selection by @wrapper228.
- 💥 Increased test coverage from 30% to 82% by @flashlight101 and @Ksyula
- 📝 Add EDA of available datasets on Tutorials page by @lyutov89, @ezhdi, @patpanda94 and @Ksyula.
- 📝 Imporve "RetailHero tutorial" by @Ksyula.
Version 0.3.2
Version 0.3.2
sklift.datasets
sklift.metrics
- 📝 Fix docstring in uplift_by_percentile function by @ElisovaIra.
sklift.viz
- 🔨 Fix bug in plot_uplift_preds function by @bwbelljr.
Miscellaneous
- 📝 Change some images in "RetailHero tutorial".
Version 0.3.1
sklift.datasets
- 🔨 Fix bugs in sklift.datasets
sklift.metrics
- 📝 Imporve uplift_by_percentile function by @ElisovaIra.
Miscellaneous
- 💥 Add tutorial "Uplift modeling metrics" by @ElisovaIra.
Version 0.3.0
Version 0.3.0
sklift.datasets
- 🔥 Add sklift.datasets by @ElisovaIra, @RobbStarkk, @acssar, @tankudo, @flashlight101, @semenova-pd, @timfex
sklift.models
- 📝 Add different checkers by @ElisovaIra
sklift.metrics
- 📝 Add different checkers by @ElisovaIra
sklift.viz
- 📝 Fix conflicting and duplicating default values by @denniskorablev
User Guide
- 📝 Fix typos
v0.2.0
Version 0.2.0
User Guide
- 🔥 Add User Guide
sklift.models
- 💥 Add
treatment interactionmethod to SoloModel approach by @AdiVarma27.
sklift.metrics
- 💥 Add uplift_by_percentile function by @ElisovaIra.
- 💥 Add weighted_average_uplift function by @ElisovaIra.
- 💥 Add perfect_uplift_curve function.
- 💥 Add perfect_qini_curve function.
- 🔨 Add normalization in uplift_auc_score and qini_auc_score functions.
- ❗ Remove metrics
auucandauqc. In exchange for them use respectively uplift_auc_score and qini_auc_score
sklift.viz
- 💥 Add plot_uplift_curve function.
- 💥 Add plot_qini_curve function.
- ❗ Remove
plot_uplift_qini_curves.
Miscellaneous
- 💥 Add contributors in main Readme and in main page of docs.
- 💥 Add contributing guide.
- 💥 Add code of conduct.
- 📝 Reformat Tutorials page.
- 📝 Add github buttons in docs.
- 📝 Add logo compatibility with pypi.
v0.1.2
Version 0.1.2
sklift.models
- 🔨 Fix bugs in TwoModels for regression problem.
- 📝 Minor code refactoring.
sklift.metrics
- 📝 Minor code refactoring.
sklift.viz
- 💥 Add bar plot in plot_uplift_by_percentile by @ElisovaIra.
- 🔨 Fix bug in plot_uplift_by_percentile.
- 📝 Minor code refactoring.
v0.1.1
Version 0.1.1
sklift.viz
- 💥 Add plot_uplift_by_percentile by @ElisovaIra.
- 🔨 Fix bug with import plot_treatment_balance_curve.
sklift.metrics
- 💥 Add response_rate_by_percentile by @ElisovaIra.
- 🔨 Fix bug with import uplift_auc_score and qini_auc_score.
- 📝 Fix typos in docstrings.
Miscellaneous
- 💥 Add tutorial "Example of usage model from sklift.models in sklearn.pipeline".
- 📝 Add link to Release History in main Readme.md.