Releases: isa-group/ppinot4py
Releases · isa-group/ppinot4py
v1.2.7
v1.2.6
- 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
- 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
- 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
- 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
- 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
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
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
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
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)