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Releases: isa-group/ppinot4py

v1.2.7

05 Mar 12:28

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This is just a quick fix of the previous version because the version number was wrong

Full Changelog: v1.2.6...v1.2.7

v1.2.6

05 Mar 12:25

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  • full support for DataConditions. Before this release, they could be defined, but not computed.

Full Changelog: v1.2.5...v1.2.6

v1.2.5

03 Mar 10:43

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  • ComplexState has been implemented with two types: LEADSTO and FOLLOWS.
  • Improves the string serialization of the metrics with specific serializations for common attributes (case:concept, time:timestamp and lifecycle:transition).

Full Changelog: v1.2.4...v1.2.5

v1.2.4

02 Mar 14:16

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  • Improves DerivedMeasure to properly work with scalar values
  • Makes LINEAR and CYCLIC case insensitive

Full Changelog: v1.2.3...v1.2.4

v1.2.3

02 Mar 12:33

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  • add global business_duration default in measure_computer
  • document new business_duration behavior and usage in README
  • fixes bugs in the behavior of business_duration to return always pd.Timedeltas
  • improve README to further explain the behavior of AggregatedMeasures and DataMeasures

Full Changelog: v1.2.2...v1.2.3

v1.2.2

01 Mar 09:17

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  • Adds support for median and percentile aggregation functions
  • Updates from setup.py to pyproject.toml

Full Changelog: v1.2.1...v1.2.2

v1.2.1

02 Apr 09:44

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What's Changed

  • User can now specify time unit in TimeMeasure
  • Added rolling window grouping
  • Supports recent versions of pandas

Full Changelog: v1.2...v1.2.1

ppinot4py v1.2

01 Nov 08:53

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What's Changed

  • Supports business hours and holidays when computing time measures
  • Allows defining instant conditions based on activities or the process instance
  • Improves the documentation in the README

Full Changelog: v1.1.4...v1.2

ppinot4py v1.1.4

30 Jul 08:17

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It fixes problems with group by in AggregatedMeasures. It also fixes problems with DataMeasures without preconditions, which are necessary to compute group by.

ppinot4py 1.1.3

22 Mar 10:28

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This new release just adds the ability to render a linguistic pattern-based string for each metric based on Using templates and linguistic patterns to define process performance indicators. Enterp. Inf. Syst. 10(2): 159-192 (2016)