Change Log

v1.4.0 (2019-07-05)

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Closed issues:

  • Why features are iterated in a for loop? #243

Merged pull requests:

v1.3.9 (2018-09-10)

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v1.3.8 (2018-09-10)

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Merged pull requests:

  • Changed chi-square test, removed frequencies computation #240 (daryadedik)

v1.3.7 (2018-09-04)

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v1.3.6 (2018-08-06)

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v1.3.5 (2018-08-02)

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v1.3.3 (2018-07-26)

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v1.3.2 (2018-07-23)

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v1.3.1 (2018-07-01)

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v1.2.6 (2018-07-01)

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v1.2.5 (2018-06-22)

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v1.2.4 (2018-05-31)

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Merged pull requests:

  • Remove null analysis results from the analysis results files #219 (daryadedik)

v1.2.3 (2018-05-30)

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Merged pull requests:

  • Removed deep copy of the data in statistical test construction #218 (daryadedik)

v1.2.2 (2018-05-30)

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v1.2.1 (2018-05-29)

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Merged pull requests:

  • Added merge_with class method for merging two multiple test suite results and tests #216 (daryadedik)
  • List of filtered columns as filtered_columns metadata information #215 (daryadedik)

v1.2.0 (2018-05-25)

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v1.1.0 (2018-05-24)

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v1.0.1 (2018-04-23)

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v1.0.0 (2018-03-22)

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v0.6.13 (2018-03-15)

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Implemented enhancements:

  • Applying bins to data frames #165

Fixed bugs:

  • Sample size with an unequal split ratio #187
  • SGA Percentile Issue #178

Merged pull requests:

v0.6.12 (2018-01-24)

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v0.6.11 (2018-01-23)

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v0.6.10 (2018-01-12)

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v0.6.9 (2018-01-12)

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v0.6.8 (2018-01-12)

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v0.6.7 (2018-01-10)

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Closed issues:

  • Group Sequential - Percentile Issue #176

Merged pull requests:

  • Increase version to 0.6.7 #181 (shansfolder)
  • fixed last command in “Deploying to PyPI” part of contributing.rst #180 (mkolarek)
  • Extended multiple correction for group sequential, added doc for multiple correction. #179 (daryadedik)
  • Fix information fraction calculation #177 (shansfolder)

v0.6.6 (2017-11-27)

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Closed issues:

  • Infinitely large confidence intervals produced by group_sequential_delta() #172

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v0.6.5 (2017-10-24)

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v0.6.3 (2017-10-24)

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v0.6.2 (2017-08-29)

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Fixed bugs:

  • Result statistics in Baeysian methods #142

Closed issues:

  • Default Parameters of Constructor of Experiment class #151
  • Update to ExpAn-Intro.ipynb #141

Merged pull requests:

v0.6.1 (2017-08-08)

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Implemented enhancements:

  • Optimizing the control flow from Experiment to Results #82
  • more meaningful dict keys for results #139 (gbordyugov)

Fixed bugs:

  • reenable means and bounds functions on Results object #9

Closed issues:

  • Results.to_json() implementation not flexible #65
  • Results.to_json() doesn’t support trend() results #64

Merged pull requests:

v0.6.0 (2017-07-26)

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Closed issues:

  • Improve binning performance #135
  • Missing unit tests for to_json() on early stopping algos #128

Merged pull requests:

v0.5.3 (2017-06-26)

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Implemented enhancements:

  • Weighted KPIs is only implemented in regular delta #114

Fixed bugs:

  • Assumption of nan when computing weighted KPIs #119
  • Weighted KPIs is only implemented in regular delta #114
  • Percentiles value is lost during computing group_sequential_delta #108

Closed issues:

  • Failing early stopping unit tests #85

Merged pull requests:

v0.5.2 (2017-05-11)

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Implemented enhancements:

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v0.5.1 (2017-04-20)

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Implemented enhancements:

  • Derived KPIs are passed to Experiment.fixed_horizon_delta() but never used in there #96

Merged pull requests:

v0.5.0 (2017-04-05)

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Implemented enhancements:

  • Bad code duplication in experiment.py #81
  • pip == 8.1.0 requirement #76

Fixed bugs:

  • Experiment.sga() assumes features and KPIs are merged in self.metrics #87
  • pctile can be undefined in Results.to\_json\(\) #78

Closed issues:

  • Results.to_json() => TypeError: Object of type ‘UserWarning’ is not JSON serializable #77
  • Rethink Results structure #66

Merged pull requests:

v0.4.5 (2017-02-10)

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Fixed bugs:

  • Numbers cannot appear in variable names for derived metrics #58

Merged pull requests:

v0.4.4 (2017-02-09)

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Implemented enhancements:

  • Add argument assume_normal and treatment_cost to calculate_prob_uplift_over_zero() and prob_uplift_over_zero_single_metric() #26
  • host intro slides (from the ipython notebook) somewhere for public viewing #10

Closed issues:

  • migrate issues from github enterprise #20

Merged pull requests:

  • Feature/results and to json refactor #71 (mkolarek)
  • new to_json() functionality and improved vim support #67 (mkolarek)

v0.4.3 (2017-02-07)

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Closed issues:

  • coverage % is misleading #23

Merged pull requests:

v0.4.2 (2016-12-08)

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Fixed bugs:

  • frequency table in the chi square test doesn’t respect the order of categories #56

Merged pull requests:

v0.4.1 (2016-10-18)

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Merged pull requests:

  • small doc cleanup #55 (jbao)
  • Add comments to cli.py #54 (igusher)
  • Feature/octo 545 add consolidate documentation #53 (mkolarek)
  • added os.path.join instead of manual string concatenations with ‘/’ #52 (mkolarek)
  • Feature/octo 958 outlier filtering #50 (mkolarek)
  • Sort KPIs in reverse order before matching them in the formula #49 (jbao)

v0.4.0 (2016-08-19)

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Closed issues:

  • Support ‘overall ratio’ metrics (e.g. conversion rate/return rate) as opposed to per-entity ratios #44

Merged pull requests:

v0.3.4 (2016-08-08)

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Closed issues:

  • perform trend analysis cumulatively #31
  • Python3 #21

Merged pull requests:

v0.3.3 (2016-08-02)

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v0.3.2 (2016-08-02)

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v0.3.1 (2016-07-15)

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v0.3.0 (2016-06-23)

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Implemented enhancements:

  • Add P(uplift>0) as a statistic #2
  • Added function to calculate P(uplift>0) #24 (jbao)

Merged pull requests:

v0.2.5 (2016-05-30)

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Implemented enhancements:

  • Implement __version__ #14

Closed issues:

  • upload full documentation! #1

Merged pull requests:

v0.2.4 (2016-05-16)

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Closed issues:

  • No module named experiment and test_data #13

Merged pull requests:

  • new travis config specifying that only master and dev should be built #5 (mkolarek)

v0.2.3 (2016-05-06)

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v0.2.2 (2016-05-06)

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v0.2.1 (2016-05-06)

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v0.2.0 (2016-05-06)

Merged pull requests:

  • Added detailed documentation with data formats #3 (robertmuil)

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