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Releases: crillab/metrics

v1.1

22 Dec 10:45
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We made some improvements to Metrics, so it is even better for you.

  • ✨ adds analysis with optimization problems, the documentation of this new feature is available here.
  • 📝 improves the general quality of the documentation.
  • 📌 dependency management and installation process have been improved
  • 🚨 fixes some linter issues

v1.0.7

04 May 15:00
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Really fixes the dependency problems between Metrics and Autograph.

Fixes a dependency problem

04 May 11:48
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  • fixes a dependency problem between Metrics and Autograph

v1.0.4 - Metrics with Autograph

19 Apr 09:56
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Now Metrics uses Autograph for create the plots!

Version 1.0.3

02 Apr 14:55
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We made a number of improvements to Metrics so it is even better for you.

  • 🐛 fixes compatibility issues with serialized analyses
  • 🐛 fixes the use of the experiment-ware map for customizing figures
  • ✨ allows to compute the VBEW over all experiment-wares by default
  • ✨ allows to customize column names in tables

Version 1.0.2

15 Mar 08:25
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🐛 Fixes axis limits for static scatter plots.
🐛 Fixes legend positioning for scatter plots.
🐛 Allows to set up axis scale on dynamic scatter plots.

Version 1.0.1

15 Dec 17:08
e6d7f09
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This release fixes a bug when defining multiple patterns for raw data files.

Version 1.0.0

04 Dec 17:58
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We made a number of improvements to Metrics so it is even better for you.

v0.3.0

25 Sep 07:39
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  • Boolean values are supported as simplified patterns (true and false, case insensitive)
  • Extraction of the name of the solver and input from the name of the file being parsed
  • Parsing of (multiple) custom CSV files, with header or not

Version 0.1.0

25 May 13:37
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Version 0.1.0 Pre-release
Pre-release
  • Internal representation of campaign with metrics-core
  • Extracting Data with metrics-scalpel
    • Reading a YAML configuration file
    • Exploring input-set hierarchies
    • Reading CSV file
    • Column mapping
  • Exploiting Data with metrics-wallet
    • Creating DataFrame from campaign
    • Cactus Plot
    • Scatter Plot
    • Box Plot
    • Table
    • Virtual Best ExperimentWare