From 976d20d80f354cb25b49c586231b5ab6a3073ba8 Mon Sep 17 00:00:00 2001 From: Vincent Jacques Date: Tue, 3 Dec 2024 15:32:19 +0000 Subject: [PATCH] Publish version 2.0.0a6 --- doc-sources/changelog.rst | 7 ++ .../conceptual-overview.ipynb | 2 +- doc-sources/get-started.rst | 8 +-- doc-sources/get-started/get-started.ipynb | 8 +-- doc-sources/user-guide.rst | 2 +- .../alglib-learning/alglib-learning.ipynb | 2 +- .../gpu-learning/gpu-learning.ipynb | 2 +- .../sat-learning/sat-learning.ipynb | 4 +- .../synthetic-data/synthetic-data.ipynb | 8 +-- docs/.buildinfo | 2 +- docs/.doctrees/changelog.doctree | Bin 89333 -> 90702 bytes docs/.doctrees/contributor-guide.doctree | Bin 94484 -> 93366 bytes docs/.doctrees/environment.pickle | Bin 486849 -> 476738 bytes docs/.doctrees/get-started.doctree | Bin 45293 -> 45293 bytes docs/.doctrees/reference.doctree | Bin 873354 -> 851063 bytes docs/.doctrees/reference/lincs.doctree | Bin 629433 -> 612857 bytes docs/.doctrees/user-guide.doctree | Bin 110761 -> 110761 bytes docs/README.html | 4 +- docs/_sources/changelog.rst.txt | 7 ++ docs/_sources/get-started.rst.txt | 8 +-- docs/_sources/reference/lincs.rst.txt | 24 ------- docs/_sources/user-guide.rst.txt | 2 +- docs/_static/documentation_options.js | 2 +- docs/changelog.html | 13 +++- docs/conceptual-overview.html | 4 +- docs/contributor-guide.html | 10 +-- docs/genindex.html | 34 +-------- docs/get-started.html | 12 ++-- docs/get-started.ipynb | 8 +-- docs/index.html | 4 +- docs/objects.inv | Bin 3861 -> 3787 bytes docs/py-modindex.html | 4 +- docs/python-api.html | 4 +- docs/reference.html | 65 +----------------- docs/reference/lincs.html | 40 +---------- docs/roadmap.html | 4 +- docs/search.html | 4 +- docs/searchindex.js | 2 +- docs/single-peaked.html | 4 +- docs/user-guide.html | 6 +- .../all-options-of-problem-generation.ipynb | 20 +++--- .../enumerated-criteria.ipynb | 8 +-- ...ail-generating-balanced-alternatives.ipynb | 2 +- .../integer-criteria/integer-criteria.ipynb | 8 +-- .../learning-failure-exception.ipynb | 2 +- .../python-module-is-executable.ipynb | 12 ++-- .../read-from-stdin/read-from-stdin.ipynb | 2 +- .../real-criteria/real-criteria.ipynb | 8 +-- .../single-peaked-criteria.ipynb | 8 +-- integration-tests/verbose/verbose.ipynb | 6 +- lincs/__init__.py | 2 +- 51 files changed, 128 insertions(+), 260 deletions(-) diff --git a/doc-sources/changelog.rst b/doc-sources/changelog.rst index cdffeebd..662fd1f6 100644 --- a/doc-sources/changelog.rst +++ b/doc-sources/changelog.rst @@ -4,6 +4,13 @@ Changelog ========= +Version 2.0.0a6 (2024-12-03) +============================ + +- Remove everything related to our in-house Simplex +- Upgrade to OR-Tools 9.11 on Windows +- Upgrade to CUDA 12.4 + Version 2.0.0a5 (2024-11-08) ============================ diff --git a/doc-sources/conceptual-overview/conceptual-overview.ipynb b/doc-sources/conceptual-overview/conceptual-overview.ipynb index f394b575..1ab8ee9a 100644 --- a/doc-sources/conceptual-overview/conceptual-overview.ipynb +++ b/doc-sources/conceptual-overview/conceptual-overview.ipynb @@ -21,7 +21,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs classify problem.yml model.yml alternatives.csv\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs classify problem.yml model.yml alternatives.csv\n", "name,Math,Physics,Literature,History,category\n", "A,1,1,1,1,\"Full scholarship\"\n", "B,1,1,1,0,\"Full scholarship\"\n", diff --git a/doc-sources/get-started.rst b/doc-sources/get-started.rst index 90e902a2..3b117e16 100644 --- a/doc-sources/get-started.rst +++ b/doc-sources/get-started.rst @@ -73,7 +73,7 @@ The generated ``problem.yml`` should look like: .. code:: yaml - # Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 40 + # Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 40 kind: classification-problem format_version: 1 criteria: @@ -144,7 +144,7 @@ It should look like: .. code:: yaml - # Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort + # Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort kind: ncs-classification-model format_version: 1 accepted_values: @@ -217,7 +217,7 @@ It should start with something like this, and contain 1000 alternatives: .. code:: text - # Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0 + # Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0 name,"Criterion 1","Criterion 2","Criterion 3","Criterion 4",category "Alternative 1",0.37454012,0.796543002,0.95071429,0.183434784,"Best category" "Alternative 2",0.731993914,0.779690981,0.598658502,0.596850157,"Intermediate category 1" @@ -253,7 +253,7 @@ so it is numerically different: .. code:: yaml - # Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 + # Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 kind: ncs-classification-model format_version: 1 accepted_values: diff --git a/doc-sources/get-started/get-started.ipynb b/doc-sources/get-started/get-started.ipynb index 8199d71c..2ebf0edd 100644 --- a/doc-sources/get-started/get-started.ipynb +++ b/doc-sources/get-started/get-started.ipynb @@ -48,7 +48,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 40\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 40\n", "kind: classification-problem\n", "format_version: 1\n", "criteria:\n", @@ -126,7 +126,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", @@ -211,7 +211,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0\n", "name,\"Criterion 1\",\"Criterion 2\",\"Criterion 3\",\"Criterion 4\",category\n", "\"Alternative 1\",0.37454012,0.796543002,0.95071429,0.183434784,\"Best category\"\n", "\"Alternative 2\",0.731993914,0.779690981,0.598658502,0.596850157,\"Intermediate category 1\"\n", @@ -260,7 +260,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", diff --git a/doc-sources/user-guide.rst b/doc-sources/user-guide.rst index 34ae64c0..6d1ef61b 100644 --- a/doc-sources/user-guide.rst +++ b/doc-sources/user-guide.rst @@ -512,7 +512,7 @@ They produce a different kind of model, with the sufficient coalitions specified .. code:: yaml - # Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions + # Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions kind: ncs-classification-model format_version: 1 accepted_values: diff --git a/doc-sources/user-guide/alglib-learning/alglib-learning.ipynb b/doc-sources/user-guide/alglib-learning/alglib-learning.ipynb index e6b3f5cd..d9166bec 100644 --- a/doc-sources/user-guide/alglib-learning/alglib-learning.ipynb +++ b/doc-sources/user-guide/alglib-learning/alglib-learning.ipynb @@ -27,7 +27,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver alglib --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver alglib --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", diff --git a/doc-sources/user-guide/gpu-learning/gpu-learning.ipynb b/doc-sources/user-guide/gpu-learning/gpu-learning.ipynb index d4dd759f..b48db892 100644 --- a/doc-sources/user-guide/gpu-learning/gpu-learning.ipynb +++ b/doc-sources/user-guide/gpu-learning/gpu-learning.ipynb @@ -27,7 +27,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor gpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor gpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", diff --git a/doc-sources/user-guide/sat-learning/sat-learning.ipynb b/doc-sources/user-guide/sat-learning/sat-learning.ipynb index 40c82c7a..182531b2 100644 --- a/doc-sources/user-guide/sat-learning/sat-learning.ipynb +++ b/doc-sources/user-guide/sat-learning/sat-learning.ipynb @@ -22,7 +22,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", @@ -58,7 +58,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy max-sat-by-separation --ucncs.max-sat-by-separation.solver eval-max-sat --ucncs.max-sat-by-separation.eval-max-sat.nb-minimize-threads 0 --ucncs.max-sat-by-separation.eval-max-sat.timeout-fast-minimize 60 --ucncs.max-sat-by-separation.eval-max-sat.coef-minimize-time 2\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy max-sat-by-separation --ucncs.max-sat-by-separation.solver eval-max-sat --ucncs.max-sat-by-separation.eval-max-sat.nb-minimize-threads 0 --ucncs.max-sat-by-separation.eval-max-sat.timeout-fast-minimize 60 --ucncs.max-sat-by-separation.eval-max-sat.coef-minimize-time 2\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", diff --git a/doc-sources/user-guide/synthetic-data/synthetic-data.ipynb b/doc-sources/user-guide/synthetic-data/synthetic-data.ipynb index 1e176169..b0c7a5ec 100644 --- a/doc-sources/user-guide/synthetic-data/synthetic-data.ipynb +++ b/doc-sources/user-guide/synthetic-data/synthetic-data.ipynb @@ -14,7 +14,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 57\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 57\n", "kind: classification-problem\n", "format_version: 1\n", "criteria:\n", @@ -63,7 +63,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model problem.yml --random-seed 58 --model-type mrsort\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 58 --model-type mrsort\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", @@ -101,7 +101,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 59 --misclassified-count 0\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 59 --misclassified-count 0\n", "name,\"Criterion 1\",\"Criterion 2\",\"Criterion 3\",\"Criterion 4\",category\n", "\"Alternative 1\",0.924035132,0.804616809,0.157870576,0.637420833,\"Best category\"\n", "\"Alternative 2\",0.866915047,0.979161799,0.0841569453,0.397855282,\"Best category\"\n", @@ -224,7 +224,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 60 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", + "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 60 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n", "kind: ncs-classification-model\n", "format_version: 1\n", "accepted_values:\n", diff --git a/docs/.buildinfo b/docs/.buildinfo index c6bd2fee..92e44814 100644 --- a/docs/.buildinfo +++ b/docs/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. 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z;6yLW9t$Vl3{4~9#1Kz~gA6rR0xXcNN@gelY3)CWJL5wAsb+lb)CNAx(Ztim5_+A`A`?@D+PWp0|NME|dbOzJA z_tk37x4qt|<#k05kqag2qb*+mEw(2

Changelog¶

+
+

Version 2.0.0a6 (2024-12-03)¶

+
    +

  • Remove everything related to our in-house Simplex

    • +

  • Upgrade to OR-Tools 9.11 on Windows

    • +

  • Upgrade to CUDA 12.4

    • +
+

Version 2.0.0a5 (2024-11-08)¶

  • OptimizeWeightsUsingGlop (class in lincs.classification), [1] -
    • -
  • OptimizeWeightsUsingInHouseSimplexOnCpu (class in lincs.classification), [1] -
    • -
  • OptimizeWeightsUsingInHouseSimplexOnGpu (class in lincs.classification), [1]
  • ordered_categories (lincs.classification.Problem property), [1]
    • diff --git a/docs/get-started.html b/docs/get-started.html index 0581395e..a4cf5642 100644 --- a/docs/get-started.html +++ b/docs/get-started.html @@ -5,11 +5,11 @@ - Get started — lincs 2.0.0a5 documentation + Get started — lincs 2.0.0a6 documentation - + @@ -80,7 +80,7 @@

    Get lincsproblem.yml should look like:

    -
    # Reproduction command (with lincs version 2.0.0a5): lincs generate classification-problem 4 3 --random-seed 40
+
    # Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 40
 kind: classification-problem
 format_version: 1
 criteria:
@@ -139,7 +139,7 @@ 
    Get lincs
    # Reproduction command (with lincs version 2.0.0a5): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort
+
    # Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort
 kind: ncs-classification-model
 format_version: 1
 accepted_values:
@@ -188,7 +188,7 @@ 
    Get lincsreference documentation.
    
 
    It should start with something like this, and contain 1000 alternatives:
    
-
    # Reproduction command (with lincs version 2.0.0a5): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0
+
    # Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0
 name,"Criterion 1","Criterion 2","Criterion 3","Criterion 4",category
 "Alternative 1",0.37454012,0.796543002,0.95071429,0.183434784,"Best category"
 "Alternative 2",0.731993914,0.779690981,0.598658502,0.596850157,"Intermediate category 1"
@@ -211,7 +211,7 @@ 
    Get lincs
    # Reproduction command (with lincs version 2.0.0a5): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0
+
    # Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0
 kind: ncs-classification-model
 format_version: 1
 accepted_values:
diff --git a/docs/get-started.ipynb b/docs/get-started.ipynb
index aa57888f..2ebf0edd 100644
--- a/docs/get-started.ipynb
+++ b/docs/get-started.ipynb
@@ -48,7 +48,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a5): lincs generate classification-problem 4 3 --random-seed 40\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 40\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -126,7 +126,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a5): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
@@ -211,7 +211,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a5): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0\n",
       "name,\"Criterion 1\",\"Criterion 2\",\"Criterion 3\",\"Criterion 4\",category\n",
       "\"Alternative 1\",0.37454012,0.796543002,0.95071429,0.183434784,\"Best category\"\n",
       "\"Alternative 2\",0.731993914,0.779690981,0.598658502,0.596850157,\"Intermediate category 1\"\n",
@@ -260,7 +260,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a5): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
diff --git a/docs/index.html b/docs/index.html
index 9ebdac70..501d0582 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -5,11 +5,11 @@
     
     
 
-    README — lincs 2.0.0a5 documentation
+    README — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
diff --git a/docs/objects.inv b/docs/objects.inv
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-    Python Module Index — lincs 2.0.0a5 documentation
+    Python Module Index — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
diff --git a/docs/python-api.html b/docs/python-api.html
index 70b8a9b2..ff04aea5 100644
--- a/docs/python-api.html
+++ b/docs/python-api.html
@@ -5,11 +5,11 @@
     
     
 
-    The Python API — lincs 2.0.0a5 documentation
+    The Python API — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
diff --git a/docs/reference.html b/docs/reference.html
index b886c216..a8795b04 100644
--- a/docs/reference.html
+++ b/docs/reference.html
@@ -5,11 +5,11 @@
     
     
 
-    Reference — lincs 2.0.0a5 documentation
+    Reference — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
@@ -1165,30 +1165,7 @@ 
    classification-model
    'glop'
    
 
 
    Options:
    
-
    glop | alglib | experimental-in-house-simplex
    
-
    
-
-
-
-
    
-
    
---mrsort.weights-profiles-breed.linear-program.experimental-in-house-simplex.processor <mrsort__weights_profiles_breed__linear_program__experimental_in_house_simplex__processor>¶
    
-
    The processor to use to solve the linear program using our EXPERIMENTAL in-house Simplex (that you should probably not use).
    
-
    
-
    Only valid if:
    
-
    
-
      
-
    • --model-type is mrsort
      • 
-
    • --mrsort.strategy is weights-profiles-breed
      • 
-
    • --mrsort.weights-profiles-breed.weights-strategy is linear-program
      • 
-
    • --mrsort.weights-profiles-breed.linear-program.solver is experimental-in-house-simplex
      • 
-
    
-
    
-
    Default:
    
-
    'cpu'
    
-
    
-
    Options:
    
-
    cpu | gpu
    
+
    glop | alglib
    
 
    
 
    
 
    
@@ -2669,42 +2646,6 @@ 
    The lincs.class
 
 
 
-
    
-
    
-class lincs.classification.OptimizeWeightsUsingInHouseSimplexOnCpu¶
    
-
    The weights optimization strategy described in Olivier Sobrie’s PhD thesis. The linear program is solved using our in-house Simplex, on the CPU. THIS IS AN EXPERIMENTAL FEATURE, you should probably not use it.
    
-
    
-
    
-__init__(preprocessed_learning_set: PreprocessedLearningSet, models_being_learned: ModelsBeingLearned)¶
    
-
    Constructor. Keeps a reference to the learning data.
    
-
    
-
-
    
-
    
-optimize_weights(model_indexes_begin: int, model_indexes_end: int)¶
    
-
    Overrides the base method.
    
-
    
-
-
    
-
-
    
-
    
-class lincs.classification.OptimizeWeightsUsingInHouseSimplexOnGpu¶
    
-
    The weights optimization strategy described in Olivier Sobrie’s PhD thesis. The linear program is solved using our in-house Simplex, on the GPU. THIS IS AN EXPERIMENTAL FEATURE, you should probably not use it.
    
-
    
-
    
-__init__(preprocessed_learning_set: PreprocessedLearningSet, models_being_learned: ModelsBeingLearned)¶
    
-
    Constructor. Keeps a reference to the learning data.
    
-
    
-
-
    
-
    
-optimize_weights(model_indexes_begin: int, model_indexes_end: int)¶
    
-
    Overrides the base method.
    
-
    
-
-
    
-
 
    
 
    
 class lincs.classification.ImproveProfilesWithAccuracyHeuristicOnCpu¶
    
diff --git a/docs/reference/lincs.html b/docs/reference/lincs.html
index 694e2d64..4b9a3372 100644
--- a/docs/reference/lincs.html
+++ b/docs/reference/lincs.html
@@ -5,11 +5,11 @@
     
     
 
-    The lincs package — lincs 2.0.0a5 documentation
+    The lincs package — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
@@ -1315,42 +1315,6 @@ 
    The lincs.class
 
 
    
 
-
    
-
    
-class lincs.classification.OptimizeWeightsUsingInHouseSimplexOnCpu¶
    
-
    The weights optimization strategy described in Olivier Sobrie’s PhD thesis. The linear program is solved using our in-house Simplex, on the CPU. THIS IS AN EXPERIMENTAL FEATURE, you should probably not use it.
    
-
    
-
    
-__init__(preprocessed_learning_set: PreprocessedLearningSet, models_being_learned: ModelsBeingLearned)¶
    
-
    Constructor. Keeps a reference to the learning data.
    
-
    
-
-
    
-
    
-optimize_weights(model_indexes_begin: int, model_indexes_end: int)¶
    
-
    Overrides the base method.
    
-
    
-
-
    
-
-
    
-
    
-class lincs.classification.OptimizeWeightsUsingInHouseSimplexOnGpu¶
    
-
    The weights optimization strategy described in Olivier Sobrie’s PhD thesis. The linear program is solved using our in-house Simplex, on the GPU. THIS IS AN EXPERIMENTAL FEATURE, you should probably not use it.
    
-
    
-
    
-__init__(preprocessed_learning_set: PreprocessedLearningSet, models_being_learned: ModelsBeingLearned)¶
    
-
    Constructor. Keeps a reference to the learning data.
    
-
    
-
-
    
-
    
-optimize_weights(model_indexes_begin: int, model_indexes_end: int)¶
    
-
    Overrides the base method.
    
-
    
-
-
    
-
 
    
 
    
 class lincs.classification.ImproveProfilesWithAccuracyHeuristicOnCpu¶
    
diff --git a/docs/roadmap.html b/docs/roadmap.html
index 89491306..e9e050db 100644
--- a/docs/roadmap.html
+++ b/docs/roadmap.html
@@ -5,11 +5,11 @@
     
     
 
-    Roadmap — lincs 2.0.0a5 documentation
+    Roadmap — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
diff --git a/docs/search.html b/docs/search.html
index 0461222f..4d2d4bac 100644
--- a/docs/search.html
+++ b/docs/search.html
@@ -4,12 +4,12 @@
   
     
     
-    Search — lincs 2.0.0a5 documentation
+    Search — lincs 2.0.0a6 documentation
     
     
     
     
-    
+    
     
     
     
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 539c9cdf..d26a2c69 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
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"ordered_values (lincs.classification.criterion.enumeratedvalues property)": [[7, "lincs.classification.Criterion.EnumeratedValues.ordered_values"], [8, "lincs.classification.Criterion.EnumeratedValues.ordered_values"]], "perform() (lincs.classification.learnmrsortbyweightsprofilesbreed method)": [[7, "lincs.classification.LearnMrsortByWeightsProfilesBreed.perform"], [8, "lincs.classification.LearnMrsortByWeightsProfilesBreed.perform"]], "perform() (lincs.classification.learnucncsbymaxsatbycoalitionsusingevalmaxsat method)": [[7, "lincs.classification.LearnUcncsByMaxSatByCoalitionsUsingEvalmaxsat.perform"], [8, "lincs.classification.LearnUcncsByMaxSatByCoalitionsUsingEvalmaxsat.perform"]], "perform() (lincs.classification.learnucncsbymaxsatbyseparationusingevalmaxsat method)": [[7, "lincs.classification.LearnUcncsByMaxSatBySeparationUsingEvalmaxsat.perform"], [8, "lincs.classification.LearnUcncsByMaxSatBySeparationUsingEvalmaxsat.perform"]], "perform() (lincs.classification.learnucncsbysatbycoalitionsusingminisat method)": [[7, "lincs.classification.LearnUcncsBySatByCoalitionsUsingMinisat.perform"], [8, "lincs.classification.LearnUcncsBySatByCoalitionsUsingMinisat.perform"]], "perform() (lincs.classification.learnucncsbysatbyseparationusingminisat method)": [[7, "lincs.classification.LearnUcncsBySatBySeparationUsingMinisat.perform"], [8, "lincs.classification.LearnUcncsBySatBySeparationUsingMinisat.perform"]], "performance_ranks (lincs.classification.preprocessedlearningset property)": [[7, "lincs.classification.PreprocessedLearningSet.performance_ranks"], [8, "lincs.classification.PreprocessedLearningSet.performance_ranks"]], "preference_direction (lincs.classification.criterion.integervalues property)": [[7, "lincs.classification.Criterion.IntegerValues.preference_direction"], [8, "lincs.classification.Criterion.IntegerValues.preference_direction"]], "preference_direction (lincs.classification.criterion.realvalues property)": [[7, "lincs.classification.Criterion.RealValues.preference_direction"], [8, "lincs.classification.Criterion.RealValues.preference_direction"]], "profile (lincs.classification.alternative property)": [[7, "lincs.classification.Alternative.profile"], [8, "lincs.classification.Alternative.profile"]], "random_generators (lincs.classification.learnmrsortbyweightsprofilesbreed.modelsbeinglearned property)": [[7, "lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned.random_generators"], [8, "lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned.random_generators"]], "real (lincs.classification.criterion.valuetype property)": [[7, "lincs.classification.Criterion.ValueType.real"], [8, "lincs.classification.Criterion.ValueType.real"]], "real (lincs.classification.performance property)": [[7, "lincs.classification.Performance.real"], [8, "lincs.classification.Performance.real"]], "real_intervals (lincs.classification.acceptedvalues property)": [[7, "lincs.classification.AcceptedValues.real_intervals"], [8, "lincs.classification.AcceptedValues.real_intervals"]], "real_thresholds (lincs.classification.acceptedvalues property)": [[7, "lincs.classification.AcceptedValues.real_thresholds"], [8, "lincs.classification.AcceptedValues.real_thresholds"]], "real_values (lincs.classification.criterion property)": [[7, "lincs.classification.Criterion.real_values"], [8, "lincs.classification.Criterion.real_values"]], "roots (lincs.classification.sufficientcoalitions property)": [[7, "lincs.classification.SufficientCoalitions.roots"], [8, "lincs.classification.SufficientCoalitions.roots"]], "roots (lincs.classification.sufficientcoalitions.kind property)": [[7, "lincs.classification.SufficientCoalitions.Kind.roots"], [8, "lincs.classification.SufficientCoalitions.Kind.roots"]], "single_peaked (lincs.classification.criterion.preferencedirection property)": [[7, "lincs.classification.Criterion.PreferenceDirection.single_peaked"], [8, "lincs.classification.Criterion.PreferenceDirection.single_peaked"]], "single_peaked (lincs.classification.preprocessedlearningset property)": [[7, "lincs.classification.PreprocessedLearningSet.single_peaked"], [8, "lincs.classification.PreprocessedLearningSet.single_peaked"]], "sufficient_coalitions (lincs.classification.model property)": [[7, "lincs.classification.Model.sufficient_coalitions"], [8, "lincs.classification.Model.sufficient_coalitions"]], "terminate() (lincs.classification.learnmrsortbyweightsprofilesbreed.terminationstrategy method)": [[7, "lincs.classification.LearnMrsortByWeightsProfilesBreed.TerminationStrategy.terminate"], [8, "lincs.classification.LearnMrsortByWeightsProfilesBreed.TerminationStrategy.terminate"]], "terminate() (lincs.classification.terminateafteriterations method)": [[7, "lincs.classification.TerminateAfterIterations.terminate"], [8, "lincs.classification.TerminateAfterIterations.terminate"]], "terminate() (lincs.classification.terminateafteriterationswithoutprogress method)": [[7, "lincs.classification.TerminateAfterIterationsWithoutProgress.terminate"], [8, "lincs.classification.TerminateAfterIterationsWithoutProgress.terminate"]], "terminate() (lincs.classification.terminateafterseconds method)": [[7, "lincs.classification.TerminateAfterSeconds.terminate"], [8, "lincs.classification.TerminateAfterSeconds.terminate"]], "terminate() (lincs.classification.terminateaftersecondswithoutprogress method)": [[7, "lincs.classification.TerminateAfterSecondsWithoutProgress.terminate"], [8, "lincs.classification.TerminateAfterSecondsWithoutProgress.terminate"]], "terminate() (lincs.classification.terminateataccuracy method)": [[7, "lincs.classification.TerminateAtAccuracy.terminate"], [8, "lincs.classification.TerminateAtAccuracy.terminate"]], "terminate() (lincs.classification.terminatewhenany method)": [[7, "lincs.classification.TerminateWhenAny.terminate"], [8, "lincs.classification.TerminateWhenAny.terminate"]], "thresholds (lincs.classification.acceptedvalues.enumeratedthresholds property)": [[7, "lincs.classification.AcceptedValues.EnumeratedThresholds.thresholds"], [8, "lincs.classification.AcceptedValues.EnumeratedThresholds.thresholds"]], "thresholds (lincs.classification.acceptedvalues.integerthresholds property)": [[7, "lincs.classification.AcceptedValues.IntegerThresholds.thresholds"], [8, "lincs.classification.AcceptedValues.IntegerThresholds.thresholds"]], "thresholds (lincs.classification.acceptedvalues.kind property)": [[7, "lincs.classification.AcceptedValues.Kind.thresholds"], [8, "lincs.classification.AcceptedValues.Kind.thresholds"]], "thresholds (lincs.classification.acceptedvalues.realthresholds property)": [[7, "lincs.classification.AcceptedValues.RealThresholds.thresholds"], [8, "lincs.classification.AcceptedValues.RealThresholds.thresholds"]], "unchanged (lincs.classification.classificationresult property)": [[7, "lincs.classification.ClassificationResult.unchanged"], [8, "lincs.classification.ClassificationResult.unchanged"]], "upset_roots (lincs.classification.sufficientcoalitions.roots property)": [[7, "lincs.classification.SufficientCoalitions.Roots.upset_roots"], [8, "lincs.classification.SufficientCoalitions.Roots.upset_roots"]], "value (lincs.classification.performance.enumerated property)": [[7, "lincs.classification.Performance.Enumerated.value"], [8, "lincs.classification.Performance.Enumerated.value"]], "value (lincs.classification.performance.integer property)": [[7, "lincs.classification.Performance.Integer.value"], [8, "lincs.classification.Performance.Integer.value"]], "value (lincs.classification.performance.real property)": [[7, "lincs.classification.Performance.Real.value"], [8, "lincs.classification.Performance.Real.value"]], "value_type (lincs.classification.acceptedvalues property)": [[7, "lincs.classification.AcceptedValues.value_type"], [8, "lincs.classification.AcceptedValues.value_type"]], "value_type (lincs.classification.criterion property)": [[7, "lincs.classification.Criterion.value_type"], [8, "lincs.classification.Criterion.value_type"]], "value_type (lincs.classification.performance property)": [[7, "lincs.classification.Performance.value_type"], [8, "lincs.classification.Performance.value_type"]], "values_counts (lincs.classification.preprocessedlearningset property)": [[7, "lincs.classification.PreprocessedLearningSet.values_counts"], [8, "lincs.classification.PreprocessedLearningSet.values_counts"]], "visualize_model() (in module lincs.classification)": [[7, "lincs.classification.visualize_model"], [8, "lincs.classification.visualize_model"]], "weights (lincs.classification.learnmrsortbyweightsprofilesbreed.modelsbeinglearned property)": [[7, "lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned.weights"], [8, "lincs.classification.LearnMrsortByWeightsProfilesBreed.ModelsBeingLearned.weights"]], "weights (lincs.classification.sufficientcoalitions property)": [[7, "lincs.classification.SufficientCoalitions.weights"], [8, "lincs.classification.SufficientCoalitions.weights"]], "weights (lincs.classification.sufficientcoalitions.kind property)": [[7, "lincs.classification.SufficientCoalitions.Kind.weights"], [8, "lincs.classification.SufficientCoalitions.Kind.weights"]]}})
\ No newline at end of file
diff --git a/docs/single-peaked.html b/docs/single-peaked.html
index 2d357382..73cd582f 100644
--- a/docs/single-peaked.html
+++ b/docs/single-peaked.html
@@ -5,11 +5,11 @@
     
     
 
-    Single-peaked criteria — lincs 2.0.0a5 documentation
+    Single-peaked criteria — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
diff --git a/docs/user-guide.html b/docs/user-guide.html
index c419fd64..e3284d57 100644
--- a/docs/user-guide.html
+++ b/docs/user-guide.html
@@ -5,11 +5,11 @@
     
     
 
-    User Guide — lincs 2.0.0a5 documentation
+    User Guide — lincs 2.0.0a6 documentation
     
     
     
-    
+    
     
     
     
@@ -444,7 +444,7 @@ 
    SAT-based strategies
    
 
    
 
    They produce a different kind of model, with the sufficient coalitions specified explicitly by their roots:
    
-
    # Reproduction command (with lincs version 2.0.0a5): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions
+
    # Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions
 kind: ncs-classification-model
 format_version: 1
 accepted_values:
diff --git a/integration-tests/all-options-of-problem-generation/all-options-of-problem-generation.ipynb b/integration-tests/all-options-of-problem-generation/all-options-of-problem-generation.ipynb
index 9f236395..566dfcda 100644
--- a/integration-tests/all-options-of-problem-generation/all-options-of-problem-generation.ipynb
+++ b/integration-tests/all-options-of-problem-generation/all-options-of-problem-generation.ipynb
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 524098961\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 524098961\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -54,7 +54,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 707823420 --denormalized-min-max\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 707823420 --denormalized-min-max\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -98,7 +98,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 927184643 --allow-decreasing-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 927184643 --allow-decreasing-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -142,7 +142,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 42 --denormalized-min-max --allow-decreasing-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 42 --denormalized-min-max --allow-decreasing-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -186,7 +186,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 995908924 --forbid-increasing-criteria --allow-decreasing-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 995908924 --forbid-increasing-criteria --allow-decreasing-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -230,7 +230,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 21600946 --forbid-real-criteria --allow-integer-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 21600946 --forbid-real-criteria --allow-integer-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -274,7 +274,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 630859863 --denormalized-min-max --forbid-real-criteria --allow-integer-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 630859863 --denormalized-min-max --forbid-real-criteria --allow-integer-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -318,7 +318,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 958501765 --forbid-real-criteria --allow-enumerated-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 958501765 --forbid-real-criteria --allow-enumerated-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -354,7 +354,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 765795324 --allow-enumerated-criteria --allow-integer-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 765795324 --allow-enumerated-criteria --allow-integer-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -394,7 +394,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 2 --random-seed 608871414 --denormalized-min-max --allow-enumerated-criteria --allow-integer-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 2 --random-seed 608871414 --denormalized-min-max --allow-enumerated-criteria --allow-integer-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
diff --git a/integration-tests/enumerated-criteria/enumerated-criteria.ipynb b/integration-tests/enumerated-criteria/enumerated-criteria.ipynb
index 2dd68abe..e7267e8d 100644
--- a/integration-tests/enumerated-criteria/enumerated-criteria.ipynb
+++ b/integration-tests/enumerated-criteria/enumerated-criteria.ipynb
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 2 2 --random-seed 520326314 --denormalized-min-max --forbid-real-criteria --allow-enumerated-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 2 2 --random-seed 520326314 --denormalized-min-max --forbid-real-criteria --allow-enumerated-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -68,7 +68,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model problem.yml --random-seed 564532967 --model-type mrsort\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 564532967 --model-type mrsort\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
@@ -138,7 +138,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 992594045 --max-imbalance 0.1 --misclassified-count 0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 992594045 --max-imbalance 0.1 --misclassified-count 0\n",
       "name,\"Criterion 1\",\"Criterion 2\",category\n",
       "\"Alternative 1\",tuz,piz,\"Best category\"\n",
       "\"Alternative 2\",got,piz,\"Worst category\"\n",
@@ -202,7 +202,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 1022618183 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 1022618183 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
diff --git a/integration-tests/fail-generating-balanced-alternatives/fail-generating-balanced-alternatives.ipynb b/integration-tests/fail-generating-balanced-alternatives/fail-generating-balanced-alternatives.ipynb
index 7df9d5c0..539b4cd6 100644
--- a/integration-tests/fail-generating-balanced-alternatives/fail-generating-balanced-alternatives.ipynb
+++ b/integration-tests/fail-generating-balanced-alternatives/fail-generating-balanced-alternatives.ipynb
@@ -22,7 +22,7 @@
      "output_type": "stream",
      "text": [
       "ERROR: lincs is unable to generate a balanced set of classified alternatives. Try to increase the allowed imbalance, or use a more lenient model?\n",
-      "Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 42 --max-imbalance 0.0 --misclassified-count 0\n"
+      "Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 42 --max-imbalance 0.0 --misclassified-count 0\n"
      ]
     }
    ],
diff --git a/integration-tests/integer-criteria/integer-criteria.ipynb b/integration-tests/integer-criteria/integer-criteria.ipynb
index 16503af0..1d111768 100644
--- a/integration-tests/integer-criteria/integer-criteria.ipynb
+++ b/integration-tests/integer-criteria/integer-criteria.ipynb
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 2 2 --random-seed 535747649 --denormalized-min-max --allow-decreasing-criteria --forbid-real-criteria --allow-integer-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 2 2 --random-seed 535747649 --denormalized-min-max --allow-decreasing-criteria --forbid-real-criteria --allow-integer-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -73,7 +73,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model problem.yml --random-seed 86476259 --model-type mrsort\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 86476259 --model-type mrsort\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
@@ -143,7 +143,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 148697048 --max-imbalance 0.1 --misclassified-count 0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 148697048 --max-imbalance 0.1 --misclassified-count 0\n",
       "name,\"Criterion 1\",\"Criterion 2\",category\n",
       "\"Alternative 1\",9487,4222,\"Worst category\"\n",
       "\"Alternative 2\",4230,-4300,\"Worst category\"\n",
@@ -207,7 +207,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 37425142 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 37425142 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
diff --git a/integration-tests/learning-failure-exception/learning-failure-exception.ipynb b/integration-tests/learning-failure-exception/learning-failure-exception.ipynb
index eb0662c6..245ff270 100644
--- a/integration-tests/learning-failure-exception/learning-failure-exception.ipynb
+++ b/integration-tests/learning-failure-exception/learning-failure-exception.ipynb
@@ -23,7 +23,7 @@
      "output_type": "stream",
      "text": [
       "ERROR: lincs is unable to learn from this learning set using this algorithm and these parameters.\n",
-      "Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions\n"
+      "Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions\n"
      ]
     }
    ],
diff --git a/integration-tests/python-module-is-executable/python-module-is-executable.ipynb b/integration-tests/python-module-is-executable/python-module-is-executable.ipynb
index bf539fbe..7f4c4ec0 100644
--- a/integration-tests/python-module-is-executable/python-module-is-executable.ipynb
+++ b/integration-tests/python-module-is-executable/python-module-is-executable.ipynb
@@ -11,7 +11,7 @@
      "output_type": "stream",
      "text": [
       "Python 3.8\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 208978669\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 208978669\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -40,7 +40,7 @@
       "  - name: Intermediate category 1\n",
       "  - name: Best category\n",
       "Python 3.9\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 208978669\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 208978669\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -69,7 +69,7 @@
       "  - name: Intermediate category 1\n",
       "  - name: Best category\n",
       "Python 3.10\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 208978669\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 208978669\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -98,7 +98,7 @@
       "  - name: Intermediate category 1\n",
       "  - name: Best category\n",
       "Python 3.11\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 208978669\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 208978669\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -127,7 +127,7 @@
       "  - name: Intermediate category 1\n",
       "  - name: Best category\n",
       "Python 3.12\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 208978669\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 208978669\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -156,7 +156,7 @@
       "  - name: Intermediate category 1\n",
       "  - name: Best category\n",
       "Python 3.13\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 4 3 --random-seed 208978669\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 208978669\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
diff --git a/integration-tests/read-from-stdin/read-from-stdin.ipynb b/integration-tests/read-from-stdin/read-from-stdin.ipynb
index 279789b9..d3b75bc5 100644
--- a/integration-tests/read-from-stdin/read-from-stdin.ipynb
+++ b/integration-tests/read-from-stdin/read-from-stdin.ipynb
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model - --random-seed 45 --model-type mrsort\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model - --random-seed 45 --model-type mrsort\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
diff --git a/integration-tests/real-criteria/real-criteria.ipynb b/integration-tests/real-criteria/real-criteria.ipynb
index 49aae02b..4935b03b 100644
--- a/integration-tests/real-criteria/real-criteria.ipynb
+++ b/integration-tests/real-criteria/real-criteria.ipynb
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 2 2 --random-seed 215214479 --denormalized-min-max --allow-decreasing-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 2 2 --random-seed 215214479 --denormalized-min-max --allow-decreasing-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -72,7 +72,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model problem.yml --random-seed 327117407 --model-type mrsort\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 327117407 --model-type mrsort\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
@@ -142,7 +142,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 802416786 --max-imbalance 0.1 --misclassified-count 0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 802416786 --max-imbalance 0.1 --misclassified-count 0\n",
       "name,\"Criterion 1\",\"Criterion 2\",category\n",
       "\"Alternative 1\",-9.46884727,49.2470016,\"Best category\"\n",
       "\"Alternative 2\",-12.0502529,-8.51298046,\"Worst category\"\n",
@@ -206,7 +206,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 80847949 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 80847949 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
diff --git a/integration-tests/single-peaked-criteria/single-peaked-criteria.ipynb b/integration-tests/single-peaked-criteria/single-peaked-criteria.ipynb
index 3eeca701..7c87b967 100644
--- a/integration-tests/single-peaked-criteria/single-peaked-criteria.ipynb
+++ b/integration-tests/single-peaked-criteria/single-peaked-criteria.ipynb
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-problem 2 2 --random-seed 134400191 --forbid-increasing-criteria --allow-single-peaked-criteria --allow-integer-criteria\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 2 2 --random-seed 134400191 --forbid-increasing-criteria --allow-single-peaked-criteria --allow-integer-criteria\n",
       "kind: classification-problem\n",
       "format_version: 1\n",
       "criteria:\n",
@@ -72,7 +72,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classification-model problem.yml --random-seed 86476259 --model-type mrsort\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 86476259 --model-type mrsort\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
@@ -142,7 +142,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 148697048 --max-imbalance 0.1 --misclassified-count 0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 148697048 --max-imbalance 0.1 --misclassified-count 0\n",
       "name,\"Criterion 1\",\"Criterion 2\",category\n",
       "\"Alternative 1\",97,0.728948653,\"Best category\"\n",
       "\"Alternative 2\",62,0.268311262,\"Best category\"\n",
@@ -206,7 +206,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 37425142 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml alternatives.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 37425142 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
diff --git a/integration-tests/verbose/verbose.ipynb b/integration-tests/verbose/verbose.ipynb
index 93693f4b..4c712ac4 100644
--- a/integration-tests/verbose/verbose.ipynb
+++ b/integration-tests/verbose/verbose.ipynb
@@ -30,7 +30,7 @@
       "Best accuracy (after 6 iterations): 192\n",
       "Best accuracy (after 7 iterations): 198\n",
       "Final accuracy (after 8 iterations): 200\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 42 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 42 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
@@ -73,7 +73,7 @@
       "Best accuracy (after 1 iterations): 183\n",
       "Best accuracy (after 2 iterations): 184\n",
       "Final accuracy (after 3 iterations): 186\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 42 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 --mrsort.weights-profiles-breed.max-iterations 3\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 42 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 --mrsort.weights-profiles-breed.max-iterations 3\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
@@ -122,7 +122,7 @@
       "Best accuracy (after 6 iterations): 190\n",
       "Best accuracy (after 7 iterations): 190\n",
       "Final accuracy (after 8 iterations): 190\n",
-      "# Reproduction command (with lincs version 2.0.0a6.dev0): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 --mrsort.weights-profiles-breed.max-iterations-without-progress 3\n",
+      "# Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 --mrsort.weights-profiles-breed.max-iterations-without-progress 3\n",
       "kind: ncs-classification-model\n",
       "format_version: 1\n",
       "accepted_values:\n",
diff --git a/lincs/__init__.py b/lincs/__init__.py
index fcc67812..d8292beb 100644
--- a/lincs/__init__.py
+++ b/lincs/__init__.py
@@ -18,7 +18,7 @@
 from . import classification
 
 # General information
-__version__ = "2.0.0a6.dev0"
+__version__ = "2.0.0a6"
 has_gpu = hasattr(classification, "ImproveProfilesWithAccuracyHeuristicOnGpu")
 
 try:

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============================ diff --git a/docs/_sources/get-started.rst.txt b/docs/_sources/get-started.rst.txt index 2ae454bd..3b117e16 100644 --- a/docs/_sources/get-started.rst.txt +++ b/docs/_sources/get-started.rst.txt @@ -73,7 +73,7 @@ The generated ``problem.yml`` should look like: .. code:: yaml - # Reproduction command (with lincs version 2.0.0a5): lincs generate classification-problem 4 3 --random-seed 40 + # Reproduction command (with lincs version 2.0.0a6): lincs generate classification-problem 4 3 --random-seed 40 kind: classification-problem format_version: 1 criteria: @@ -144,7 +144,7 @@ It should look like: .. code:: yaml - # Reproduction command (with lincs version 2.0.0a5): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort + # Reproduction command (with lincs version 2.0.0a6): lincs generate classification-model problem.yml --random-seed 41 --model-type mrsort kind: ncs-classification-model format_version: 1 accepted_values: @@ -217,7 +217,7 @@ It should start with something like this, and contain 1000 alternatives: .. code:: text - # Reproduction command (with lincs version 2.0.0a5): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0 + # Reproduction command (with lincs version 2.0.0a6): lincs generate classified-alternatives problem.yml model.yml 1000 --random-seed 42 --misclassified-count 0 name,"Criterion 1","Criterion 2","Criterion 3","Criterion 4",category "Alternative 1",0.37454012,0.796543002,0.95071429,0.183434784,"Best category" "Alternative 2",0.731993914,0.779690981,0.598658502,0.596850157,"Intermediate category 1" @@ -253,7 +253,7 @@ so it is numerically different: .. code:: yaml - # Reproduction command (with lincs version 2.0.0a5): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 + # Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type mrsort --mrsort.strategy weights-profiles-breed --mrsort.weights-profiles-breed.models-count 9 --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43 --mrsort.weights-profiles-breed.initialization-strategy maximize-discrimination-per-criterion --mrsort.weights-profiles-breed.weights-strategy linear-program --mrsort.weights-profiles-breed.linear-program.solver glop --mrsort.weights-profiles-breed.profiles-strategy accuracy-heuristic --mrsort.weights-profiles-breed.accuracy-heuristic.processor cpu --mrsort.weights-profiles-breed.breed-strategy reinitialize-least-accurate --mrsort.weights-profiles-breed.reinitialize-least-accurate.portion 0.5 --mrsort.weights-profiles-breed.target-accuracy 1.0 kind: ncs-classification-model format_version: 1 accepted_values: diff --git a/docs/_sources/reference/lincs.rst.txt b/docs/_sources/reference/lincs.rst.txt index 37870387..37eb522b 100644 --- a/docs/_sources/reference/lincs.rst.txt +++ b/docs/_sources/reference/lincs.rst.txt @@ -988,30 +988,6 @@ Overrides the base method. - .. class:: OptimizeWeightsUsingInHouseSimplexOnCpu - - The weights optimization strategy described in Olivier Sobrie's PhD thesis. The linear program is solved using our in-house Simplex, on the CPU. THIS IS AN EXPERIMENTAL FEATURE, you should probably not use it. - - .. method:: __init__(preprocessed_learning_set: PreprocessedLearningSet, models_being_learned: ModelsBeingLearned) - - Constructor. Keeps a reference to the learning data. - - .. method:: optimize_weights(model_indexes_begin: int, model_indexes_end: int) - - Overrides the base method. - - .. class:: OptimizeWeightsUsingInHouseSimplexOnGpu - - The weights optimization strategy described in Olivier Sobrie's PhD thesis. The linear program is solved using our in-house Simplex, on the GPU. THIS IS AN EXPERIMENTAL FEATURE, you should probably not use it. - - .. method:: __init__(preprocessed_learning_set: PreprocessedLearningSet, models_being_learned: ModelsBeingLearned) - - Constructor. Keeps a reference to the learning data. - - .. method:: optimize_weights(model_indexes_begin: int, model_indexes_end: int) - - Overrides the base method. - .. class:: ImproveProfilesWithAccuracyHeuristicOnCpu The profiles improvement strategy described in Olivier Sobrie's PhD thesis. Run on the CPU. diff --git a/docs/_sources/user-guide.rst.txt b/docs/_sources/user-guide.rst.txt index 0e3ae61c..6d1ef61b 100644 --- a/docs/_sources/user-guide.rst.txt +++ b/docs/_sources/user-guide.rst.txt @@ -512,7 +512,7 @@ They produce a different kind of model, with the sufficient coalitions specified .. code:: yaml - # Reproduction command (with lincs version 2.0.0a5): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions + # Reproduction command (with lincs version 2.0.0a6): lincs learn classification-model problem.yml learning-set.csv --model-type ucncs --ucncs.strategy sat-by-coalitions kind: ncs-classification-model format_version: 1 accepted_values: diff --git a/docs/_static/documentation_options.js b/docs/_static/documentation_options.js index 4f75415b..b56c6186 100644 --- a/docs/_static/documentation_options.js +++ b/docs/_static/documentation_options.js @@ -1,6 +1,6 @@ var DOCUMENTATION_OPTIONS = { URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), - VERSION: '2.0.0a5', + VERSION: '2.0.0a6', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/docs/changelog.html b/docs/changelog.html index 15f0cfd3..1f683adb 100644 --- a/docs/changelog.html +++ b/docs/changelog.html @@ -5,11 +5,11 @@ - Changelog — lincs 2.0.0a5 documentation + Changelog — lincs 2.0.0a6 documentation - + @@ -34,6 +34,14 @@