From e2e702f25defb0b82f309f03d4914c72cd552516 Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Thu, 16 Jan 2020 15:16:27 +0100
Subject: [PATCH] Did some doc"

---
 config_files/config_test.yml                  |   4 +-
 docs/build/.doctrees/analyzeresult.doctree    | Bin 152963 -> 153432 bytes
 docs/build/.doctrees/environment.pickle       | Bin 220982 -> 222127 bytes
 .../references/monomulti/exec_classif.doctree | Bin 91215 -> 89955 bytes
 ...atform.mono_multi_view_classifiers.doctree | Bin 275920 -> 289160 bytes
 ....mono_multi_view_classifiers.utils.doctree | Bin 258700 -> 258993 bytes
 .../multiview_platform.tests.doctree          | Bin 102767 -> 89921 bytes
 .../.doctrees/tutorials/example2.doctree      | Bin 6660802 -> 6662567 bytes
 docs/build/.doctrees/tutorials/index.doctree  | Bin 3050 -> 3076 bytes
 .../build/_sources/tutorials/example2.rst.txt |   4 ++
 docs/build/_sources/tutorials/index.rst.txt   |   1 +
 docs/build/analyzeresult.html                 |  10 +--
 docs/build/genindex.html                      |  38 ++++------
 docs/build/index.html                         |   4 ++
 docs/build/objects.inv                        | Bin 3958 -> 3948 bytes
 docs/build/py-modindex.html                   |   2 +-
 .../references/monomulti/exec_classif.html    |  32 ++++-----
 docs/build/references/multiview_platform.html |  10 +--
 ..._platform.mono_multi_view_classifiers.html |  63 ++++++++++-------
 ...orm.mono_multi_view_classifiers.utils.html |   6 +-
 .../references/multiview_platform.tests.html  |  46 ------------
 docs/build/searchindex.js                     |   2 +-
 docs/build/tutorials/example1.html            |  10 +--
 docs/build/tutorials/example2.html            |  13 ++--
 docs/build/tutorials/index.html               |   1 +
 docs/build/tutorials/installation.html        |  10 +--
 docs/source/tutorials/example5.rst            |  66 ++++++++++++++++++
 docs/source/tutorials/index.rst               |   1 +
 .../result_analysis.py                        |   2 +-
 29 files changed, 181 insertions(+), 144 deletions(-)
 create mode 100644 docs/source/tutorials/example5.rst

diff --git a/config_files/config_test.yml b/config_files/config_test.yml
index 862062fa..cb002a30 100644
--- a/config_files/config_test.yml
+++ b/config_files/config_test.yml
@@ -22,8 +22,8 @@ Classification:
   nb_folds: 2
   nb_class: 2
   classes:
-  type: ["multiview"]
-  algos_monoview: ["decision_tree","bayesian_inference_fusion"]
+  type: ["monoview"]
+  algos_monoview: ["adaboost",]
   algos_multiview: ["svm_jumbo_fusion"]
   stats_iter: 1
   metrics: ["accuracy_score", "f1_score"]
diff --git a/docs/build/.doctrees/analyzeresult.doctree b/docs/build/.doctrees/analyzeresult.doctree
index 32ea8228f4c715ceb76e92fd8116a22012d4ba7a..b9ccc7ba6c0a0a33dd12057c5418f9f893ed212e 100644
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diff --git a/docs/build/.doctrees/environment.pickle b/docs/build/.doctrees/environment.pickle
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diff --git a/docs/build/.doctrees/references/monomulti/exec_classif.doctree b/docs/build/.doctrees/references/monomulti/exec_classif.doctree
index e0d281f79132feac8cf2bb51d76dc1dd4b149342..20d898b1226e724b32a0219afd1180fee3a50045 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/references/multiview_platform.mono_multi_view_classifiers.doctree b/docs/build/.doctrees/references/multiview_platform.mono_multi_view_classifiers.doctree
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diff --git a/docs/build/.doctrees/references/multiview_platform.mono_multi_view_classifiers.utils.doctree b/docs/build/.doctrees/references/multiview_platform.mono_multi_view_classifiers.utils.doctree
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diff --git a/docs/build/.doctrees/references/multiview_platform.tests.doctree b/docs/build/.doctrees/references/multiview_platform.tests.doctree
index e4fc70919d63fec7ea4c58ff1f76399c10a638ca..24e0d186e5904864b92d75442abacb9f3ce85058 100644
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diff --git a/docs/build/.doctrees/tutorials/example2.doctree b/docs/build/.doctrees/tutorials/example2.doctree
index f78a86c7ab4ce8d1496b5c7f217ca03b12227fa2..f8ebd36104129a78d08c5248278279b11ce49b2e 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/tutorials/index.doctree b/docs/build/.doctrees/tutorials/index.doctree
index d859ae3000f41e9eb048e955e3f5d1feafe3d388..929ad886c37ddaf43797d5841a1bc99629fefcac 100644
GIT binary patch
delta 72
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delta 63
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diff --git a/docs/build/_sources/tutorials/example2.rst.txt b/docs/build/_sources/tutorials/example2.rst.txt
index 12bdb6bd..16f83813 100644
--- a/docs/build/_sources/tutorials/example2.rst.txt
+++ b/docs/build/_sources/tutorials/example2.rst.txt
@@ -264,5 +264,9 @@ The figure below represents the duration of the execution on a personal computer
 
 The duration is in seconds, and we used 2,5,10,15,20 as values for ``nb_folds`` and 2,5,10,20,30,50,100 for ``hps_iter`` with two monoview classifiers and one multiview classifier on simulated data.
 
+.. note::
+    In order to compensate the fact that the multiview classifiers have more complex problems to solve, it is possible to use ``"randomized_search-equiv"`` as the HPS optimization method to allow
+    ``hps_iter`` draws for the monoview classifiers and ``hps_iter * nb_view`` draws for the ones that are multiview.
+
 
 
diff --git a/docs/build/_sources/tutorials/index.rst.txt b/docs/build/_sources/tutorials/index.rst.txt
index 751c9e05..2011f548 100644
--- a/docs/build/_sources/tutorials/index.rst.txt
+++ b/docs/build/_sources/tutorials/index.rst.txt
@@ -12,4 +12,5 @@ The following are some tutorials which explain how to use the toolbox.
     example2
     example3
     example4
+    example5
 
diff --git a/docs/build/analyzeresult.html b/docs/build/analyzeresult.html
index baa2213e..706d0209 100644
--- a/docs/build/analyzeresult.html
+++ b/docs/build/analyzeresult.html
@@ -80,7 +80,7 @@ label combination, regrouping the scores for each metrics and the information us
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.analyze_iter_multiclass">
-<code class="descname">analyze_iter_multiclass</code><span class="sig-paren">(</span><em>multiclass_results</em>, <em>directory</em>, <em>stats_iter</em>, <em>metrics</em>, <em>data_base_name</em>, <em>nb_examples</em>, <em>example_ids</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.analyze_iter_multiclass" title="Permalink to this definition">¶</a></dt>
+<code class="descname">analyze_iter_multiclass</code><span class="sig-paren">(</span><em>multiclass_results</em>, <em>directory</em>, <em>stats_iter</em>, <em>metrics</em>, <em>data_base_name</em>, <em>nb_examples</em>, <em>example_ids</em>, <em>multiclass_labels</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.analyze_iter_multiclass" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to mean the multiclass results on the iterations executed with different random states</p>
 </dd></dl>
 
@@ -175,7 +175,7 @@ and -100 if the example was not classified.</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.gen_metrics_scores_multiclass">
-<code class="descname">gen_metrics_scores_multiclass</code><span class="sig-paren">(</span><em>results</em>, <em>true_labels</em>, <em>metrics</em>, <em>arguments_dictionaries</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.gen_metrics_scores_multiclass" title="Permalink to this definition">¶</a></dt>
+<code class="descname">gen_metrics_scores_multiclass</code><span class="sig-paren">(</span><em>results</em>, <em>true_labels</em>, <em>metrics_list</em>, <em>arguments_dictionaries</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.gen_metrics_scores_multiclass" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to add all the metrics scores to the multiclass result structure  for each clf and each iteration</p>
 </dd></dl>
 
@@ -340,7 +340,7 @@ organized as :
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.plot_2d">
-<code class="descname">plot_2d</code><span class="sig-paren">(</span><em>data</em>, <em>classifiers_names</em>, <em>nbClassifiers</em>, <em>nbExamples</em>, <em>fileName</em>, <em>minSize=10</em>, <em>width_denominator=2.0</em>, <em>height_denominator=20.0</em>, <em>stats_iter=1</em>, <em>use_plotly=True</em>, <em>example_ids=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_2d" title="Permalink to this definition">¶</a></dt>
+<code class="descname">plot_2d</code><span class="sig-paren">(</span><em>data</em>, <em>classifiers_names</em>, <em>nbClassifiers</em>, <em>nbExamples</em>, <em>file_name</em>, <em>minSize=10</em>, <em>labels=None</em>, <em>width_denominator=2.0</em>, <em>height_denominator=20.0</em>, <em>stats_iter=1</em>, <em>use_plotly=True</em>, <em>example_ids=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_2d" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to generate a 2D plot of the errors.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
@@ -353,7 +353,7 @@ and -100 if the example was not classified.</li>
 <li><strong>nbClassifiers</strong> (<em>int</em>) – The number of classifiers.</li>
 <li><strong>nbExamples</strong> (<em>int</em>) – The number of examples.</li>
 <li><strong>nbCopies</strong> (<em>int</em>) – The number of times the data is copied (classifier wise) in order for the figure to be more readable</li>
-<li><strong>fileName</strong> (<em>str</em>) – The name of the file in which the figure will be saved (“error_analysis_2D.png” will be added at the end)</li>
+<li><strong>file_name</strong> (<em>str</em>) – The name of the file in which the figure will be saved (“error_analysis_2D.png” will be added at the end)</li>
 <li><strong>minSize</strong> (<em>int</em><em>, </em><em>optinal</em><em>, </em><em>default: 10</em>) – The minimum width and height of the figure.</li>
 <li><strong>width_denominator</strong> (<em>float</em><em>, </em><em>optional</em><em>, </em><em>default: 1.0</em>) – To obtain the image width, the number of classifiers will be divided by this number.</li>
 <li><strong>height_denominator</strong> (<em>float</em><em>, </em><em>optional</em><em>, </em><em>default: 1.0</em>) – To obtain the image width, the number of examples will be divided by this number.</li>
@@ -388,7 +388,7 @@ and -100 if the example was not classified.</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.plot_metric_scores">
-<code class="descname">plot_metric_scores</code><span class="sig-paren">(</span><em>train_scores</em>, <em>test_scores</em>, <em>names</em>, <em>nb_results</em>, <em>metric_name</em>, <em>file_name</em>, <em>tag=''</em>, <em>train_STDs=None</em>, <em>test_STDs=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_metric_scores" title="Permalink to this definition">¶</a></dt>
+<code class="descname">plot_metric_scores</code><span class="sig-paren">(</span><em>train_scores</em>, <em>test_scores</em>, <em>names</em>, <em>nb_results</em>, <em>metric_name</em>, <em>file_name</em>, <em>tag=''</em>, <em>train_STDs=None</em>, <em>test_STDs=None</em>, <em>use_plotly=True</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_metric_scores" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to plot and save the score barplot for a specific metric.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
diff --git a/docs/build/genindex.html b/docs/build/genindex.html
index 87d09978..e4ced6ff 100644
--- a/docs/build/genindex.html
+++ b/docs/build/genindex.html
@@ -160,14 +160,10 @@
       <li><a href="references/monomulti/exec_classif.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark">exec_benchmark() (in module multiview_platform.mono_multi_view_classifiers.exec_classif)</a>, <a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark">[1]</a>
 </li>
       <li><a href="references/monomulti/exec_classif.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_classif">exec_classif() (in module multiview_platform.mono_multi_view_classifiers.exec_classif)</a>, <a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_classif">[1]</a>
-</li>
-      <li><a href="references/monomulti/exec_classif.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark">exec_one_benchmark() (in module multiview_platform.mono_multi_view_classifiers.exec_classif)</a>, <a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark">[1]</a>
 </li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_mono_core">exec_one_benchmark_mono_core() (in module multiview_platform.mono_multi_view_classifiers.exec_classif)</a>
-</li>
-      <li><a href="references/monomulti/exec_classif.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_multicore">exec_one_benchmark_multicore() (in module multiview_platform.mono_multi_view_classifiers.exec_classif)</a>, <a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_multicore">[1]</a>
 </li>
       <li><a href="references/multiview_platform.html#multiview_platform.execute.execute">execute() (in module multiview_platform.execute)</a>
 </li>
@@ -495,15 +491,17 @@
 </li>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_feature_importances">publish_feature_importances() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
 </li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_biclass_example_errors">publish_iter_biclass_example_errors() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
 </li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_biclass_metrics_scores">publish_iter_biclass_metrics_scores() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
 </li>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_multiclass_example_errors">publish_iter_multiclass_example_errors() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
 </li>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_multiclass_metrics_scores">publish_iter_multiclass_metrics_scores() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
+</li>
+      <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_tracebacks">publish_tracebacks() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
 </li>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.publishExampleErrors">publishExampleErrors() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
 </li>
@@ -538,6 +536,10 @@
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="references/multiview_platform.mono_multi_view_classifiers.utils.html#multiview_platform.mono_multi_view_classifiers.utils.configuration.save_config">save_config() (in module multiview_platform.mono_multi_view_classifiers.utils.configuration)</a>
+</li>
+      <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.save_dict_to_text">save_dict_to_text() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
+</li>
+      <li><a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.result_analysis.save_failed">save_failed() (in module multiview_platform.mono_multi_view_classifiers.result_analysis)</a>
 </li>
       <li><a href="references/monomulti/metrics.html#multiview_platform.mono_multi_view_classifiers.metrics.framework.score">score() (in module multiview_platform.mono_multi_view_classifiers.metrics.framework)</a>
 </li>
@@ -551,11 +553,9 @@
 </li>
       <li><a href="references/monomulti/exec_classif.html#multiview_platform.mono_multi_view_classifiers.exec_classif.set_element">set_element() (in module multiview_platform.mono_multi_view_classifiers.exec_classif)</a>, <a href="references/multiview_platform.mono_multi_view_classifiers.html#multiview_platform.mono_multi_view_classifiers.exec_classif.set_element">[1]</a>
 </li>
-      <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.setUp">setUp() (multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark class method)</a>
+      <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_execution.Test_genKFolds.setUp">setUp() (Test_genKFolds method)</a>
 
       <ul>
-        <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_execution.Test_genKFolds.setUp">(Test_genKFolds method)</a>
-</li>
         <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_execution.Test_genSplits.setUp">(Test_genSplits method)</a>
 </li>
         <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ResultAnalysis.Test_get_arguments.setUp">(Test_get_arguments method)</a>
@@ -575,8 +575,6 @@
         <li><a href="references/multiview_platform.tests.test_metrics.html#multiview_platform.tests.test_metrics.test_accuracy_score.Test_accuracy_score.setUpClass">(Test_accuracy_score method)</a>
 </li>
         <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_InitArgumentDictionaries.setUpClass">(multiview_platform.tests.test_ExecClassif.Test_InitArgumentDictionaries class method)</a>
-</li>
-        <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.setUpClass">(multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore class method)</a>
 </li>
         <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_get_path_dict.setUpClass">(multiview_platform.tests.test_ExecClassif.Test_get_path_dict class method)</a>
 </li>
@@ -621,16 +619,12 @@
 <h2 id="T">T</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.tearDown">tearDown() (multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark class method)</a>
+      <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_GetMultiviewDB.Test_get_classic_db_csv.tearDown">tearDown() (multiview_platform.tests.test_utils.test_GetMultiviewDB.Test_get_classic_db_csv class method)</a>
 
       <ul>
         <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_GetMultiviewDB.Test_get_classic_db_hdf5.tearDown">(Test_get_classic_db_hdf5 method)</a>
 </li>
         <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_execution.Test_initRandomState.tearDown">(Test_initRandomState method)</a>
-</li>
-        <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.tearDown">(multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore class method)</a>
-</li>
-        <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_GetMultiviewDB.Test_get_classic_db_csv.tearDown">(multiview_platform.tests.test_utils.test_GetMultiviewDB.Test_get_classic_db_csv class method)</a>
 </li>
       </ul></li>
       <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execBenchmark.tearDownClass">tearDownClass() (multiview_platform.tests.test_ExecClassif.Test_execBenchmark class method)</a>
@@ -668,10 +662,6 @@
       <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_execution.Test_parseTheArgs.test_empty_args">test_empty_args() (Test_parseTheArgs method)</a>
 </li>
       <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execBenchmark">Test_execBenchmark (class in multiview_platform.tests.test_ExecClassif)</a>
-</li>
-      <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark">Test_execOneBenchmark (class in multiview_platform.tests.test_ExecClassif)</a>
-</li>
-      <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore">Test_execOneBenchmark_multicore (class in multiview_platform.tests.test_ExecClassif)</a>
 </li>
       <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_configuration.Test_get_the_args.test_file_loading">test_file_loading() (Test_get_the_args method)</a>
 </li>
@@ -723,10 +713,10 @@
 </li>
       <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_InitArgumentDictionaries.test_init_argument_dictionaries_multiview">test_init_argument_dictionaries_multiview() (Test_InitArgumentDictionaries method)</a>
 </li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_InitArgumentDictionaries.test_init_argument_dictionaries_multiview_complex">test_init_argument_dictionaries_multiview_complex() (Test_InitArgumentDictionaries method)</a>
 </li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_InitArgumentDictionaries.test_init_argument_dictionaries_multiview_multiple">test_init_argument_dictionaries_multiview_multiple() (Test_InitArgumentDictionaries method)</a>
 </li>
       <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_InitArgumentDictionaries.test_init_argument_dictionaries_multiview_multiple_complex">test_init_argument_dictionaries_multiview_multiple_complex() (Test_InitArgumentDictionaries method)</a>
@@ -776,10 +766,6 @@
       <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execBenchmark.test_simple">test_simple() (Test_execBenchmark method)</a>
 
       <ul>
-        <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.test_simple">(Test_execOneBenchmark method)</a>
-</li>
-        <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.test_simple">(Test_execOneBenchmark_multicore method)</a>
-</li>
         <li><a href="references/multiview_platform.tests.html#multiview_platform.tests.test_ResultAnalysis.Test_format_previous_results.test_simple">(Test_format_previous_results method)</a>
 </li>
         <li><a href="references/multiview_platform.tests.test_utils.html#multiview_platform.tests.test_utils.test_execution.Test_genSplits.test_simple">(Test_genSplits method)</a>
diff --git a/docs/build/index.html b/docs/build/index.html
index a9ca0f9f..306ba5c8 100644
--- a/docs/build/index.html
+++ b/docs/build/index.html
@@ -100,6 +100,10 @@ contain the root <cite>toctree</cite> directive.</p>
 <li class="toctree-l3"><a class="reference internal" href="tutorials/example4.html#adding-additional-information-on-the-examples">Adding additional information on the examples</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="tutorials/example5.html">Taking control : Use your own algorithms</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="tutorials/example5.html#simple-task-adding-a-monoview-classifier">Simple task : Adding a monoview classifier</a></li>
+</ul>
+</li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="references/multiview_platform.html">multiview_platform references</a><ul>
diff --git a/docs/build/objects.inv b/docs/build/objects.inv
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diff --git a/docs/build/py-modindex.html b/docs/build/py-modindex.html
index 0e6daedb..64097138 100644
--- a/docs/build/py-modindex.html
+++ b/docs/build/py-modindex.html
@@ -160,7 +160,7 @@
      <tr class="cg-1">
        <td></td>
        <td>&#160;&#160;&#160;
-       <a href="references/multiview_platform.html#module-multiview_platform.tests"><code class="xref">multiview_platform.tests</code></a></td><td>
+       <a href="references/multiview_platform.tests.html#module-multiview_platform.tests"><code class="xref">multiview_platform.tests</code></a></td><td>
        <em></em></td></tr>
      <tr class="cg-1">
        <td></td>
diff --git a/docs/build/references/monomulti/exec_classif.html b/docs/build/references/monomulti/exec_classif.html
index 46574b88..499b0c23 100644
--- a/docs/build/references/monomulti/exec_classif.html
+++ b/docs/build/references/monomulti/exec_classif.html
@@ -89,7 +89,7 @@ examples and the cross validation folds.</p>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark">
-<code class="descname">exec_benchmark</code><span class="sig-paren">(</span><em>nb_cores</em>, <em>stats_iter</em>, <em>nb_multiclass</em>, <em>benchmark_arguments_dictionaries</em>, <em>classification_indices</em>, <em>directories</em>, <em>directory</em>, <em>multi_class_labels</em>, <em>metrics</em>, <em>labels_dictionary</em>, <em>nb_labels</em>, <em>dataset_var</em>, <em>exec_one_benchmark=&lt;function exec_one_benchmark&gt;</em>, <em>exec_one_benchmark_multicore=&lt;function exec_one_benchmark_multicore&gt;</em>, <em>exec_one_benchmark_mono_core=&lt;function exec_one_benchmark_mono_core&gt;</em>, <em>get_results=&lt;function get_results&gt;</em>, <em>delete=&lt;function delete_HDF5&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark" title="Permalink to this definition">¶</a></dt>
+<code class="descname">exec_benchmark</code><span class="sig-paren">(</span><em>nb_cores</em>, <em>stats_iter</em>, <em>nb_multiclass</em>, <em>benchmark_arguments_dictionaries</em>, <em>classification_indices</em>, <em>directories</em>, <em>directory</em>, <em>multi_class_labels</em>, <em>metrics</em>, <em>labels_dictionary</em>, <em>nb_labels</em>, <em>dataset_var</em>, <em>exec_one_benchmark_mono_core=&lt;function exec_one_benchmark_mono_core&gt;</em>, <em>get_results=&lt;function get_results&gt;</em>, <em>delete=&lt;function delete_HDF5&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to execute the needed benchmark(s) on multicore or mono-core functions.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
@@ -128,21 +128,21 @@ multiclass testing set.</li>
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_classif">
 <code class="descname">exec_classif</code><span class="sig-paren">(</span><em>arguments</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_classif" title="Permalink to this definition">¶</a></dt>
-<dd><p>Main function to execute the benchmark</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark">
-<code class="descname">exec_one_benchmark</code><span class="sig-paren">(</span><em>core_index=-1</em>, <em>labels_dictionary=None</em>, <em>directory=None</em>, <em>classification_indices=None</em>, <em>args=None</em>, <em>k_folds=None</em>, <em>random_state=None</em>, <em>hyper_param_search=None</em>, <em>metrics=None</em>, <em>argument_dictionaries=None</em>, <em>benchmark=None</em>, <em>views=None</em>, <em>views_indices=None</em>, <em>flag=None</em>, <em>labels=None</em>, <em>exec_monoview_multicore=&lt;function exec_monoview_multicore&gt;</em>, <em>exec_multiview_multicore=&lt;function exec_multiview_multicore&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark" title="Permalink to this definition">¶</a></dt>
-<dd><p>Used to run a benchmark using one core. ExecMonoview_multicore, initMultiviewArguments and
-exec_multiview_multicore args are only used for tests</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_multicore">
-<code class="descname">exec_one_benchmark_multicore</code><span class="sig-paren">(</span><em>nb_cores=-1</em>, <em>labels_dictionary=None</em>, <em>directory=None</em>, <em>classification_indices=None</em>, <em>args=None</em>, <em>k_folds=None</em>, <em>random_state=None</em>, <em>hyper_param_search=None</em>, <em>metrics=None</em>, <em>argument_dictionaries=None</em>, <em>benchmark=None</em>, <em>views=None</em>, <em>views_indices=None</em>, <em>flag=None</em>, <em>labels=None</em>, <em>exec_monoview_multicore=&lt;function exec_monoview_multicore&gt;</em>, <em>exec_multiview_multicore=&lt;function exec_multiview_multicore&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_multicore" title="Permalink to this definition">¶</a></dt>
-<dd><p>Used to run a benchmark using multiple cores. ExecMonoview_multicore, initMultiviewArguments and
-exec_multiview_multicore args are only used for tests</p>
+<dd><p>Runs the benchmark with the given arguments</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>arguments</strong> – </td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><ul class="simple">
+<li><em>&gt;&gt;&gt; exec_classif([–config_path, /path/to/config/files/])</em></li>
+<li><em>&gt;&gt;&gt;</em></li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
 </dd></dl>
 
 <dl class="function">
diff --git a/docs/build/references/multiview_platform.html b/docs/build/references/multiview_platform.html
index 2d4b5e01..6d89ec32 100644
--- a/docs/build/references/multiview_platform.html
+++ b/docs/build/references/multiview_platform.html
@@ -19,7 +19,7 @@
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="multiview_platform.mono_multi_view_classifiers package" href="multiview_platform.mono_multi_view_classifiers.html" />
-    <link rel="prev" title="Taking control : Use your own dataset" href="../tutorials/example4.html" /> 
+    <link rel="prev" title="Taking control : Use your own algorithms" href="../tutorials/example5.html" /> 
   </head><body>
     <div class="related" role="navigation" aria-label="related navigation">
       <h3>Navigation</h3>
@@ -34,7 +34,7 @@
           <a href="multiview_platform.mono_multi_view_classifiers.html" title="multiview_platform.mono_multi_view_classifiers package"
              accesskey="N">next</a> |</li>
         <li class="right" >
-          <a href="../tutorials/example4.html" title="Taking control : Use your own dataset"
+          <a href="../tutorials/example5.html" title="Taking control : Use your own algorithms"
              accesskey="P">previous</a> |</li>
         <li class="nav-item nav-item-0"><a href="../index.html">MultiviewPlatform 0 documentation</a> &#187;</li> 
       </ul>
@@ -307,8 +307,8 @@
 </ul>
 
   <h4>Previous topic</h4>
-  <p class="topless"><a href="../tutorials/example4.html"
-                        title="previous chapter">Taking control : Use your own dataset</a></p>
+  <p class="topless"><a href="../tutorials/example5.html"
+                        title="previous chapter">Taking control : Use your own algorithms</a></p>
   <h4>Next topic</h4>
   <p class="topless"><a href="multiview_platform.mono_multi_view_classifiers.html"
                         title="next chapter">multiview_platform.mono_multi_view_classifiers package</a></p>
@@ -348,7 +348,7 @@
           <a href="multiview_platform.mono_multi_view_classifiers.html" title="multiview_platform.mono_multi_view_classifiers package"
              >next</a> |</li>
         <li class="right" >
-          <a href="../tutorials/example4.html" title="Taking control : Use your own dataset"
+          <a href="../tutorials/example5.html" title="Taking control : Use your own algorithms"
              >previous</a> |</li>
         <li class="nav-item nav-item-0"><a href="../index.html">MultiviewPlatform 0 documentation</a> &#187;</li> 
       </ul>
diff --git a/docs/build/references/multiview_platform.mono_multi_view_classifiers.html b/docs/build/references/multiview_platform.mono_multi_view_classifiers.html
index 81c6a465..470c49f0 100644
--- a/docs/build/references/multiview_platform.mono_multi_view_classifiers.html
+++ b/docs/build/references/multiview_platform.mono_multi_view_classifiers.html
@@ -216,7 +216,7 @@ examples and the cross validation folds.</p>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark">
-<code class="descname">exec_benchmark</code><span class="sig-paren">(</span><em>nb_cores</em>, <em>stats_iter</em>, <em>nb_multiclass</em>, <em>benchmark_arguments_dictionaries</em>, <em>classification_indices</em>, <em>directories</em>, <em>directory</em>, <em>multi_class_labels</em>, <em>metrics</em>, <em>labels_dictionary</em>, <em>nb_labels</em>, <em>dataset_var</em>, <em>exec_one_benchmark=&lt;function exec_one_benchmark&gt;</em>, <em>exec_one_benchmark_multicore=&lt;function exec_one_benchmark_multicore&gt;</em>, <em>exec_one_benchmark_mono_core=&lt;function exec_one_benchmark_mono_core&gt;</em>, <em>get_results=&lt;function get_results&gt;</em>, <em>delete=&lt;function delete_HDF5&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark" title="Permalink to this definition">¶</a></dt>
+<code class="descname">exec_benchmark</code><span class="sig-paren">(</span><em>nb_cores</em>, <em>stats_iter</em>, <em>nb_multiclass</em>, <em>benchmark_arguments_dictionaries</em>, <em>classification_indices</em>, <em>directories</em>, <em>directory</em>, <em>multi_class_labels</em>, <em>metrics</em>, <em>labels_dictionary</em>, <em>nb_labels</em>, <em>dataset_var</em>, <em>exec_one_benchmark_mono_core=&lt;function exec_one_benchmark_mono_core&gt;</em>, <em>get_results=&lt;function get_results&gt;</em>, <em>delete=&lt;function delete_HDF5&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_benchmark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to execute the needed benchmark(s) on multicore or mono-core functions.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
@@ -255,14 +255,21 @@ multiclass testing set.</li>
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_classif">
 <code class="descname">exec_classif</code><span class="sig-paren">(</span><em>arguments</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_classif" title="Permalink to this definition">¶</a></dt>
-<dd><p>Main function to execute the benchmark</p>
-</dd></dl>
-
-<dl class="function">
-<dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark">
-<code class="descname">exec_one_benchmark</code><span class="sig-paren">(</span><em>core_index=-1</em>, <em>labels_dictionary=None</em>, <em>directory=None</em>, <em>classification_indices=None</em>, <em>args=None</em>, <em>k_folds=None</em>, <em>random_state=None</em>, <em>hyper_param_search=None</em>, <em>metrics=None</em>, <em>argument_dictionaries=None</em>, <em>benchmark=None</em>, <em>views=None</em>, <em>views_indices=None</em>, <em>flag=None</em>, <em>labels=None</em>, <em>exec_monoview_multicore=&lt;function exec_monoview_multicore&gt;</em>, <em>exec_multiview_multicore=&lt;function exec_multiview_multicore&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark" title="Permalink to this definition">¶</a></dt>
-<dd><p>Used to run a benchmark using one core. ExecMonoview_multicore, initMultiviewArguments and
-exec_multiview_multicore args are only used for tests</p>
+<dd><p>Runs the benchmark with the given arguments</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>arguments</strong> – </td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><ul class="simple">
+<li><em>&gt;&gt;&gt; exec_classif([–config_path, /path/to/config/files/])</em></li>
+<li><em>&gt;&gt;&gt;</em></li>
+</ul>
+</td>
+</tr>
+</tbody>
+</table>
 </dd></dl>
 
 <dl class="function">
@@ -270,13 +277,6 @@ exec_multiview_multicore args are only used for tests</p>
 <code class="descname">exec_one_benchmark_mono_core</code><span class="sig-paren">(</span><em>dataset_var=None</em>, <em>labels_dictionary=None</em>, <em>directory=None</em>, <em>classification_indices=None</em>, <em>args=None</em>, <em>k_folds=None</em>, <em>random_state=None</em>, <em>hyper_param_search=None</em>, <em>metrics=None</em>, <em>argument_dictionaries=None</em>, <em>benchmark=None</em>, <em>views=None</em>, <em>views_indices=None</em>, <em>flag=None</em>, <em>labels=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_mono_core" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>
 
-<dl class="function">
-<dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_multicore">
-<code class="descname">exec_one_benchmark_multicore</code><span class="sig-paren">(</span><em>nb_cores=-1</em>, <em>labels_dictionary=None</em>, <em>directory=None</em>, <em>classification_indices=None</em>, <em>args=None</em>, <em>k_folds=None</em>, <em>random_state=None</em>, <em>hyper_param_search=None</em>, <em>metrics=None</em>, <em>argument_dictionaries=None</em>, <em>benchmark=None</em>, <em>views=None</em>, <em>views_indices=None</em>, <em>flag=None</em>, <em>labels=None</em>, <em>exec_monoview_multicore=&lt;function exec_monoview_multicore&gt;</em>, <em>exec_multiview_multicore=&lt;function exec_multiview_multicore&gt;</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.exec_one_benchmark_multicore" title="Permalink to this definition">¶</a></dt>
-<dd><p>Used to run a benchmark using multiple cores. ExecMonoview_multicore, initMultiviewArguments and
-exec_multiview_multicore args are only used for tests</p>
-</dd></dl>
-
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.exec_classif.extract_dict">
 <code class="descname">extract_dict</code><span class="sig-paren">(</span><em>classifier_config</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.exec_classif.extract_dict" title="Permalink to this definition">¶</a></dt>
@@ -553,7 +553,7 @@ label combination, regrouping the scores for each metrics and the information us
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.analyze_iter_multiclass">
-<code class="descname">analyze_iter_multiclass</code><span class="sig-paren">(</span><em>multiclass_results</em>, <em>directory</em>, <em>stats_iter</em>, <em>metrics</em>, <em>data_base_name</em>, <em>nb_examples</em>, <em>example_ids</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.analyze_iter_multiclass" title="Permalink to this definition">¶</a></dt>
+<code class="descname">analyze_iter_multiclass</code><span class="sig-paren">(</span><em>multiclass_results</em>, <em>directory</em>, <em>stats_iter</em>, <em>metrics</em>, <em>data_base_name</em>, <em>nb_examples</em>, <em>example_ids</em>, <em>multiclass_labels</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.analyze_iter_multiclass" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to mean the multiclass results on the iterations executed with different random states</p>
 </dd></dl>
 
@@ -658,7 +658,7 @@ and -100 if the example was not classified.</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.gen_metrics_scores_multiclass">
-<code class="descname">gen_metrics_scores_multiclass</code><span class="sig-paren">(</span><em>results</em>, <em>true_labels</em>, <em>metrics</em>, <em>arguments_dictionaries</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.gen_metrics_scores_multiclass" title="Permalink to this definition">¶</a></dt>
+<code class="descname">gen_metrics_scores_multiclass</code><span class="sig-paren">(</span><em>results</em>, <em>true_labels</em>, <em>metrics_list</em>, <em>arguments_dictionaries</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.gen_metrics_scores_multiclass" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to add all the metrics scores to the multiclass result structure  for each clf and each iteration</p>
 </dd></dl>
 
@@ -833,7 +833,7 @@ organized as :
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.plot_2d">
-<code class="descname">plot_2d</code><span class="sig-paren">(</span><em>data</em>, <em>classifiers_names</em>, <em>nbClassifiers</em>, <em>nbExamples</em>, <em>fileName</em>, <em>minSize=10</em>, <em>width_denominator=2.0</em>, <em>height_denominator=20.0</em>, <em>stats_iter=1</em>, <em>use_plotly=True</em>, <em>example_ids=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_2d" title="Permalink to this definition">¶</a></dt>
+<code class="descname">plot_2d</code><span class="sig-paren">(</span><em>data</em>, <em>classifiers_names</em>, <em>nbClassifiers</em>, <em>nbExamples</em>, <em>file_name</em>, <em>minSize=10</em>, <em>labels=None</em>, <em>width_denominator=2.0</em>, <em>height_denominator=20.0</em>, <em>stats_iter=1</em>, <em>use_plotly=True</em>, <em>example_ids=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_2d" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to generate a 2D plot of the errors.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
@@ -846,7 +846,7 @@ and -100 if the example was not classified.</li>
 <li><strong>nbClassifiers</strong> (<em>int</em>) – The number of classifiers.</li>
 <li><strong>nbExamples</strong> (<em>int</em>) – The number of examples.</li>
 <li><strong>nbCopies</strong> (<em>int</em>) – The number of times the data is copied (classifier wise) in order for the figure to be more readable</li>
-<li><strong>fileName</strong> (<em>str</em>) – The name of the file in which the figure will be saved (“error_analysis_2D.png” will be added at the end)</li>
+<li><strong>file_name</strong> (<em>str</em>) – The name of the file in which the figure will be saved (“error_analysis_2D.png” will be added at the end)</li>
 <li><strong>minSize</strong> (<em>int</em><em>, </em><em>optinal</em><em>, </em><em>default: 10</em>) – The minimum width and height of the figure.</li>
 <li><strong>width_denominator</strong> (<em>float</em><em>, </em><em>optional</em><em>, </em><em>default: 1.0</em>) – To obtain the image width, the number of classifiers will be divided by this number.</li>
 <li><strong>height_denominator</strong> (<em>float</em><em>, </em><em>optional</em><em>, </em><em>default: 1.0</em>) – To obtain the image width, the number of examples will be divided by this number.</li>
@@ -881,7 +881,7 @@ and -100 if the example was not classified.</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.plot_metric_scores">
-<code class="descname">plot_metric_scores</code><span class="sig-paren">(</span><em>train_scores</em>, <em>test_scores</em>, <em>names</em>, <em>nb_results</em>, <em>metric_name</em>, <em>file_name</em>, <em>tag=''</em>, <em>train_STDs=None</em>, <em>test_STDs=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_metric_scores" title="Permalink to this definition">¶</a></dt>
+<code class="descname">plot_metric_scores</code><span class="sig-paren">(</span><em>train_scores</em>, <em>test_scores</em>, <em>names</em>, <em>nb_results</em>, <em>metric_name</em>, <em>file_name</em>, <em>tag=''</em>, <em>train_STDs=None</em>, <em>test_STDs=None</em>, <em>use_plotly=True</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.plot_metric_scores" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to plot and save the score barplot for a specific metric.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
@@ -911,7 +911,7 @@ and -100 if the example was not classified.</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.publishExampleErrors">
-<code class="descname">publishExampleErrors</code><span class="sig-paren">(</span><em>example_errors</em>, <em>directory</em>, <em>databaseName</em>, <em>labels_names</em>, <em>example_ids</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publishExampleErrors" title="Permalink to this definition">¶</a></dt>
+<code class="descname">publishExampleErrors</code><span class="sig-paren">(</span><em>example_errors</em>, <em>directory</em>, <em>databaseName</em>, <em>labels_names</em>, <em>example_ids</em>, <em>labels</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publishExampleErrors" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>
 
 <dl class="function">
@@ -943,7 +943,7 @@ Values : The scores and names of each classifier .</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.publishMulticlassExmapleErrors">
-<code class="descname">publishMulticlassExmapleErrors</code><span class="sig-paren">(</span><em>multiclass_results</em>, <em>directories</em>, <em>databaseName</em>, <em>example_ids</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publishMulticlassExmapleErrors" title="Permalink to this definition">¶</a></dt>
+<code class="descname">publishMulticlassExmapleErrors</code><span class="sig-paren">(</span><em>multiclass_results</em>, <em>directories</em>, <em>databaseName</em>, <em>example_ids</em>, <em>multiclass_labels</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publishMulticlassExmapleErrors" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>
 
 <dl class="function">
@@ -968,7 +968,7 @@ Values : The scores and names of each classifier .</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_multiclass_example_errors">
-<code class="descname">publish_iter_multiclass_example_errors</code><span class="sig-paren">(</span><em>iter_multiclass_results</em>, <em>directory</em>, <em>classifiers_names</em>, <em>stats_iter</em>, <em>example_ids</em>, <em>min_size=10</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_multiclass_example_errors" title="Permalink to this definition">¶</a></dt>
+<code class="descname">publish_iter_multiclass_example_errors</code><span class="sig-paren">(</span><em>iter_multiclass_results</em>, <em>directory</em>, <em>classifiers_names</em>, <em>stats_iter</em>, <em>example_ids</em>, <em>multiclass_labels</em>, <em>min_size=10</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_multiclass_example_errors" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>
 
 <dl class="function">
@@ -976,6 +976,21 @@ Values : The scores and names of each classifier .</li>
 <code class="descname">publish_iter_multiclass_metrics_scores</code><span class="sig-paren">(</span><em>iter_multiclass_results</em>, <em>classifiers_names</em>, <em>data_base_name</em>, <em>directory</em>, <em>stats_iter</em>, <em>min_size=10</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_iter_multiclass_metrics_scores" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>
 
+<dl class="function">
+<dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.publish_tracebacks">
+<code class="descname">publish_tracebacks</code><span class="sig-paren">(</span><em>directory</em>, <em>database_name</em>, <em>labels_names</em>, <em>tracebacks</em>, <em>flag</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.publish_tracebacks" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="function">
+<dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.save_dict_to_text">
+<code class="descname">save_dict_to_text</code><span class="sig-paren">(</span><em>dictionnary</em>, <em>output_file</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.save_dict_to_text" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="function">
+<dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.save_failed">
+<code class="descname">save_failed</code><span class="sig-paren">(</span><em>failed_list</em>, <em>directory</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.save_failed" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.result_analysis.sort_by_test_score">
 <code class="descname">sort_by_test_score</code><span class="sig-paren">(</span><em>train_scores</em>, <em>test_scores</em>, <em>names</em>, <em>train_STDs=None</em>, <em>test_STDs=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.result_analysis.sort_by_test_score" title="Permalink to this definition">¶</a></dt>
diff --git a/docs/build/references/multiview_platform.mono_multi_view_classifiers.utils.html b/docs/build/references/multiview_platform.mono_multi_view_classifiers.utils.html
index dfb9b8df..2d9b2723 100644
--- a/docs/build/references/multiview_platform.mono_multi_view_classifiers.utils.html
+++ b/docs/build/references/multiview_platform.mono_multi_view_classifiers.utils.html
@@ -754,7 +754,7 @@ for example 10 e -(float)</p>
 
 <dl class="class">
 <dt id="multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.MultiviewCompatibleRandomizedSearchCV">
-<em class="property">class </em><code class="descname">MultiviewCompatibleRandomizedSearchCV</code><span class="sig-paren">(</span><em>estimator</em>, <em>param_distributions</em>, <em>n_iter=10</em>, <em>refit=True</em>, <em>n_jobs=1</em>, <em>scoring=None</em>, <em>cv=None</em>, <em>random_state=None</em>, <em>learning_indices=None</em>, <em>view_indices=None</em>, <em>framework='monoview'</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.MultiviewCompatibleRandomizedSearchCV" title="Permalink to this definition">¶</a></dt>
+<em class="property">class </em><code class="descname">MultiviewCompatibleRandomizedSearchCV</code><span class="sig-paren">(</span><em>estimator</em>, <em>param_distributions</em>, <em>n_iter=10</em>, <em>refit=True</em>, <em>n_jobs=1</em>, <em>scoring=None</em>, <em>cv=None</em>, <em>random_state=None</em>, <em>learning_indices=None</em>, <em>view_indices=None</em>, <em>framework='monoview'</em>, <em>equivalent_draws=True</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.MultiviewCompatibleRandomizedSearchCV" title="Permalink to this definition">¶</a></dt>
 <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.model_selection._search.RandomizedSearchCV</span></code></p>
 <dl class="method">
 <dt id="multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.MultiviewCompatibleRandomizedSearchCV.fit">
@@ -815,12 +815,12 @@ train/test set.</li>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.randomized_search">
-<code class="descname">randomized_search</code><span class="sig-paren">(</span><em>X, y, framework, random_state, output_file_name, classifier_module, classifier_name, folds=4, nb_cores=1, metric=['accuracy_score', None], n_iter=30, classifier_kwargs=None, learning_indices=None, view_indices=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.randomized_search" title="Permalink to this definition">¶</a></dt>
+<code class="descname">randomized_search</code><span class="sig-paren">(</span><em>X, y, framework, random_state, output_file_name, classifier_module, classifier_name, folds=4, nb_cores=1, metric=['accuracy_score', None], n_iter=30, classifier_kwargs=None, learning_indices=None, view_indices=None, equivalent_draws=True</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.randomized_search" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>
 
 <dl class="function">
 <dt id="multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.search_best_settings">
-<code class="descname">search_best_settings</code><span class="sig-paren">(</span><em>dataset_var</em>, <em>labels</em>, <em>classifier_module</em>, <em>classifier_name</em>, <em>metrics</em>, <em>learning_indices</em>, <em>i_k_folds</em>, <em>random_state</em>, <em>directory</em>, <em>views_indices=None</em>, <em>nb_cores=1</em>, <em>searching_tool='randomized_search'</em>, <em>n_iter=1</em>, <em>classifier_config=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.search_best_settings" title="Permalink to this definition">¶</a></dt>
+<code class="descname">search_best_settings</code><span class="sig-paren">(</span><em>dataset_var</em>, <em>labels</em>, <em>classifier_module</em>, <em>classifier_name</em>, <em>metrics</em>, <em>learning_indices</em>, <em>i_k_folds</em>, <em>random_state</em>, <em>directory</em>, <em>views_indices=None</em>, <em>nb_cores=1</em>, <em>searching_tool='randomized_search-equiv'</em>, <em>n_iter=1</em>, <em>classifier_config=None</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.mono_multi_view_classifiers.utils.hyper_parameter_search.search_best_settings" title="Permalink to this definition">¶</a></dt>
 <dd><p>Used to select the right hyper-parameter optimization function
 to optimize hyper parameters</p>
 </dd></dl>
diff --git a/docs/build/references/multiview_platform.tests.html b/docs/build/references/multiview_platform.tests.html
index d5ddc52a..54b2c5eb 100644
--- a/docs/build/references/multiview_platform.tests.html
+++ b/docs/build/references/multiview_platform.tests.html
@@ -223,52 +223,6 @@
 
 </dd></dl>
 
-<dl class="class">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark">
-<em class="property">class </em><code class="descname">Test_execOneBenchmark</code><span class="sig-paren">(</span><em>methodName='runTest'</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">unittest.case.TestCase</span></code></p>
-<dl class="classmethod">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.setUp">
-<em class="property">classmethod </em><code class="descname">setUp</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.setUp" title="Permalink to this definition">¶</a></dt>
-<dd><p>Hook method for setting up the test fixture before exercising it.</p>
-</dd></dl>
-
-<dl class="classmethod">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.tearDown">
-<em class="property">classmethod </em><code class="descname">tearDown</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.tearDown" title="Permalink to this definition">¶</a></dt>
-<dd><p>Hook method for deconstructing the test fixture after testing it.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.test_simple">
-<code class="descname">test_simple</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark.test_simple" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="class">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore">
-<em class="property">class </em><code class="descname">Test_execOneBenchmark_multicore</code><span class="sig-paren">(</span><em>methodName='runTest'</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">unittest.case.TestCase</span></code></p>
-<dl class="classmethod">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.setUpClass">
-<em class="property">classmethod </em><code class="descname">setUpClass</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.setUpClass" title="Permalink to this definition">¶</a></dt>
-<dd><p>Hook method for setting up class fixture before running tests in the class.</p>
-</dd></dl>
-
-<dl class="classmethod">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.tearDown">
-<em class="property">classmethod </em><code class="descname">tearDown</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.tearDown" title="Permalink to this definition">¶</a></dt>
-<dd><p>Hook method for deconstructing the test fixture after testing it.</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.test_simple">
-<code class="descname">test_simple</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_execOneBenchmark_multicore.test_simple" title="Permalink to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
 <dl class="class">
 <dt id="multiview_platform.tests.test_ExecClassif.Test_get_path_dict">
 <em class="property">class </em><code class="descname">Test_get_path_dict</code><span class="sig-paren">(</span><em>methodName='runTest'</em><span class="sig-paren">)</span><a class="headerlink" href="#multiview_platform.tests.test_ExecClassif.Test_get_path_dict" title="Permalink to this definition">¶</a></dt>
diff --git a/docs/build/searchindex.js b/docs/build/searchindex.js
index 02f29398..1d6269da 100644
--- a/docs/build/searchindex.js
+++ b/docs/build/searchindex.js
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analysis module","Multiview Platform","Welcome to the exection documentation","Welcome to MultiviewPlatform\u2019s documentation!","multiview_platform","Readme","Classification execution module","Metrics framework","Classifiers","Diversity Fusion Classifiers","Utils execution module","Utils Multiclass module","Mono and mutliview classification","multiview_platform references","multiview_platform.mono_multi_view_classifiers package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.difficulty_fusion package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.disagree_fusion package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.double_fault_fusion package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.entropy_fusion package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.fat_late_fusion 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package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.fat_scm_late_fusion package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.fusion package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.fusion.Methods package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.fusion.Methods.EarlyFusionPackage package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.fusion.Methods.LateFusionPackage package","multiview_platform.mono_multi_view_classifiers.multiview_classifiers.pseudo_cq_fusion package","multiview_platform.mono_multi_view_classifiers.utils package","multiview_platform.tests package","multiview_platform.tests.test_metrics package","multiview_platform.tests.test_mono_view package","multiview_platform.tests.test_monoview_classifiers package","multiview_platform.tests.test_multiview_classifiers package","multiview_platform.tests.test_multiview_classifiers.Test_DifficultyMeasure package","multiview_platform.tests.test_multiview_classifiers.Test_DisagreeFusion package","multiview_platform.tests.test_multiview_classifiers.Test_DoubleFaultFusion package","multiview_platform.tests.test_multiview_classifiers.Test_EntropyFusion package","multiview_platform.tests.test_multiview_classifiers.Test_Fusion package","multiview_platform.tests.test_multiview_classifiers.Test_PseudoCQMeasure package","multiview_platform.tests.test_utils package","Example 1 : First steps with Multiview Platform","Example 2 : Understanding the hyper-parameter optimization","Example 3 : Understanding the statistical iterations","Taking control : Use your own dataset","Taking control : Use your own algorithms","Multiview Platform Tutorials","Install Multiview Platform"],titleterms:{"1560_12_25":40,"15_42":40,Adding:[43,44],The:43,Use:[43,44],accuracy_scor:40,adaboost:[],adaboost_gra:[],adaboost_pregen10:[],adaboost_pregen:[],adaboost_pregen_tre:[],addit:43,algorithm:44,alreadi:5,analysi:0,analyze_result:[16,17,18,19,20,21,22,26],argument:5,author:5,bare:43,bayesianinfer:25,benchmark:5,boostutil:[],c_greed:[],cb_boost:[],cbboostutil:[],cg_desc10:[],cg_desc:[],cg_desc_tre:[],cgdescutil:[],choic:41,classif:[5,6,12],classifi:[8,9,40,44],coeffici:[],compat:5,comput:[],config_fil:40,configur:27,content:[13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],context:[40,42],contributor:5,control:[43,44],convers:43,cq_boost:[],cq_boosttre:[],cq_boostv21:[],cq_boostv2:[],cqboostutil:[],cross:41,csv:[5,40],data:5,dataset:[5,27,43],decision_tre:[],decision_tree_pregen:[],depend:40,difficulty_fus:16,disagree_fus:17,discov:5,divers:9,diversity_util:[],document:[2,3],double_fault_fus:18,earlyfus:23,earlyfusionpackag:24,entropy_fus:19,error_analysis_2d:40,error_analysis_bar:40,exampl:[40,41,42,43],exec_classif:14,exec_classif_mono_view:[],exec_multiview:[],exec_plot:[],exect:2,execut:[6,10,13,27],experi:41,explan:41,export_result:[],f1_score:[],fat_late_fus:20,fat_scm_late_fus:21,fbeta_scor:[],file:[5,40],first:40,fold:41,format:5,framework:7,fusion:[9,22,23,24,25],generic_scor:[],get:[5,40],get_multiview_db:27,gradient_boost:[],graph:[],hamming_loss:[],hand:41,have:5,hdf5:[5,43],how:42,html:40,hyper:41,hyper_parameter_search:27,impact:41,indic:3,inform:43,instal:[5,46],intertwin:[],introduct:40,intuit:41,iter:42,jaccard_similarity_scor:[],knn:[],lasso:[],latefus:23,latefusionpackag:25,launch:46,log:40,log_loss:[],majorityvot:25,make_file_config:27,matthews_corrcoef:[],method:[23,24,25],metric:[7,41],min_cq:[],min_cq_graalpi:[],min_cq_graalpy_tre:[],mincqutil:[],modul:[0,6,10,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],mono:[5,12],mono_multi_view_classifi:[14,15,16,17,18,19,20,21,22,23,24,25,26,27],monoview:44,monoview_classifi:[],monoview_util:[],multi:5,multiclass:[11,27],multipl:5,multiview:[1,40,45,46],multiview_classifi:[15,16,17,18,19,20,21,22,23,24,25,26],multiview_platform:[4,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],multiview_result_analysi:27,multiview_util:[],multiviewplatform:3,must:5,mutliview:12,necess:43,oper:[],optim:41,organ:5,own:[43,44],packag:[14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],paramet:41,pickl:40,platform:[1,40,45,46],png:40,precision_scor:[],pregenutil:[],prerequisit:5,process:[],pseudo_cq_fus:26,qar_boost:[],qar_boost_nc3:[],qar_boostv2:[],qar_boostv3:[],random:41,random_forest:[],random_st:40,readm:5,recall_scor:[],reconstruct:[],refer:13,result:0,result_analysi:14,roc_auc_scor:[],run:5,scm:[],scm_pregen:[],scm_pregen_tre:[],scm_sparsiti:[],scm_sparsity_tte:[],scmforlinear:25,search:41,setup:46,sgd:[],signal:[],simpl:44,simul:5,size:41,split:41,start:[5,40],statist:42,step:40,structur:43,subgraph:[],submodul:[13,14,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],subpackag:[13,14,15,22,23,28,32,37],svcclassifi:[],svm_linear:[],svm_poli:[],svm_rbf:[],svmforlinear:25,tabl:3,take:[43,44],task:44,test:[5,13,28,29,30,31,32,33,34,35,36,37,38,39,41],test_accuracy_scor:29,test_adaboost:31,test_compat:31,test_configur:39,test_difficultymeasur:33,test_difficultymeasuremodul:33,test_disagreefus:34,test_disagreefusionmodul:34,test_diversity_util:32,test_doublefaultfus:35,test_doublefaultfusionmodul:35,test_entropyfus:36,test_entropyfusionmodul:36,test_execclassif:28,test_execclassifmonoview:30,test_execut:39,test_fus:37,test_fusionmodul:37,test_getmultiviewdb:39,test_metr:29,test_mono_view:30,test_monoview_classifi:31,test_monoviewutil:30,test_multiclass:39,test_multiview_classifi:[32,33,34,35,36,37,38],test_pseudocqfusionmodul:38,test_pseudocqmeasur:38,test_resultanalysi:28,test_util:39,them:5,thi:40,tool:46,train:41,transform:27,tutori:[40,45],understand:[41,42],usag:41,use:42,util:[10,11,27],valid:41,version:13,view:5,wavelet:[],weightedlinear:[24,25],welcom:[2,3],yml:40,you:5,your:[5,43,44],zero_one_loss:[]}})
\ No newline at end of file
diff --git a/docs/build/tutorials/example1.html b/docs/build/tutorials/example1.html
index 116d58e2a..81b085b2 100644
--- a/docs/build/tutorials/example1.html
+++ b/docs/build/tutorials/example1.html
@@ -18,7 +18,7 @@
     
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
-    <link rel="next" title="multiview_platform references" href="../references/multiview_platform.html" />
+    <link rel="next" title="Example 2 : Understanding the hyper-parameter optimization" href="example2.html" />
     <link rel="prev" title="Install Multiview Platform" href="installation.html" /> 
   </head><body>
     <div class="related" role="navigation" aria-label="related navigation">
@@ -31,7 +31,7 @@
           <a href="../py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
         <li class="right" >
-          <a href="../references/multiview_platform.html" title="multiview_platform references"
+          <a href="example2.html" title="Example 2 : Understanding the hyper-parameter optimization"
              accesskey="N">next</a> |</li>
         <li class="right" >
           <a href="installation.html" title="Install Multiview Platform"
@@ -314,8 +314,8 @@ available for classifiers that present some interpretation-related information (
   <p class="topless"><a href="installation.html"
                         title="previous chapter">Install Multiview Platform</a></p>
   <h4>Next topic</h4>
-  <p class="topless"><a href="../references/multiview_platform.html"
-                        title="next chapter">multiview_platform references</a></p>
+  <p class="topless"><a href="example2.html"
+                        title="next chapter">Example 2 : Understanding the hyper-parameter optimization</a></p>
   <div role="note" aria-label="source link">
     <h3>This Page</h3>
     <ul class="this-page-menu">
@@ -349,7 +349,7 @@ available for classifiers that present some interpretation-related information (
           <a href="../py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
         <li class="right" >
-          <a href="../references/multiview_platform.html" title="multiview_platform references"
+          <a href="example2.html" title="Example 2 : Understanding the hyper-parameter optimization"
              >next</a> |</li>
         <li class="right" >
           <a href="installation.html" title="Install Multiview Platform"
diff --git a/docs/build/tutorials/example2.html b/docs/build/tutorials/example2.html
index 381a0859..8fdf6b57 100644
--- a/docs/build/tutorials/example2.html
+++ b/docs/build/tutorials/example2.html
@@ -18,7 +18,7 @@
     
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
-    <link rel="next" title="Example 2 : Understanding the statistical iterations" href="example3.html" />
+    <link rel="next" title="Example 3 : Understanding the statistical iterations" href="example3.html" />
     <link rel="prev" title="Example 1 : First steps with Multiview Platform" href="example1.html" /> 
   </head><body>
     <div class="related" role="navigation" aria-label="related navigation">
@@ -31,7 +31,7 @@
           <a href="../py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
         <li class="right" >
-          <a href="example3.html" title="Example 2 : Understanding the statistical iterations"
+          <a href="example3.html" title="Example 3 : Understanding the statistical iterations"
              accesskey="N">next</a> |</li>
         <li class="right" >
           <a href="example1.html" title="Example 1 : First steps with Multiview Platform"
@@ -402,6 +402,11 @@ dataset.</p>
         </div>
 </body>
 </html><p>The duration is in seconds, and we used 2,5,10,15,20 as values for <code class="docutils literal notranslate"><span class="pre">nb_folds</span></code> and 2,5,10,20,30,50,100 for <code class="docutils literal notranslate"><span class="pre">hps_iter</span></code> with two monoview classifiers and one multiview classifier on simulated data.</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p class="last">In order to compensate the fact that the multiview classifiers have more complex problems to solve, it is possible to use <code class="docutils literal notranslate"><span class="pre">&quot;randomized_search-equiv&quot;</span></code> as the HPS optimization method to allow
+<code class="docutils literal notranslate"><span class="pre">hps_iter</span></code> draws for the monoview classifiers and <code class="docutils literal notranslate"><span class="pre">hps_iter</span> <span class="pre">*</span> <span class="pre">nb_view</span></code> draws for the ones that are multiview.</p>
+</div>
 </div>
 </div>
 </div>
@@ -437,7 +442,7 @@ dataset.</p>
                         title="previous chapter">Example 1 : First steps with Multiview Platform</a></p>
   <h4>Next topic</h4>
   <p class="topless"><a href="example3.html"
-                        title="next chapter">Example 2 : Understanding the statistical iterations</a></p>
+                        title="next chapter">Example 3 : Understanding the statistical iterations</a></p>
   <div role="note" aria-label="source link">
     <h3>This Page</h3>
     <ul class="this-page-menu">
@@ -471,7 +476,7 @@ dataset.</p>
           <a href="../py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
         <li class="right" >
-          <a href="example3.html" title="Example 2 : Understanding the statistical iterations"
+          <a href="example3.html" title="Example 3 : Understanding the statistical iterations"
              >next</a> |</li>
         <li class="right" >
           <a href="example1.html" title="Example 1 : First steps with Multiview Platform"
diff --git a/docs/build/tutorials/index.html b/docs/build/tutorials/index.html
index b1d96f9d..b3428963 100644
--- a/docs/build/tutorials/index.html
+++ b/docs/build/tutorials/index.html
@@ -55,6 +55,7 @@
 <li class="toctree-l1"><a class="reference internal" href="example2.html">Example 2 : Understanding the hyper-parameter optimization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="example3.html">Example 3 : Understanding the statistical iterations</a></li>
 <li class="toctree-l1"><a class="reference internal" href="example4.html">Taking control : Use your own dataset</a></li>
+<li class="toctree-l1"><a class="reference internal" href="example5.html">Taking control : Use your own algorithms</a></li>
 </ul>
 </div>
 </div>
diff --git a/docs/build/tutorials/installation.html b/docs/build/tutorials/installation.html
index 4a39b26c..059ff843 100644
--- a/docs/build/tutorials/installation.html
+++ b/docs/build/tutorials/installation.html
@@ -18,7 +18,7 @@
     
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
-    <link rel="next" title="multiview_platform package" href="../multiview_platform.html" />
+    <link rel="next" title="Example 1 : First steps with Multiview Platform" href="example1.html" />
     <link rel="prev" title="Multiview Platform Tutorials" href="index.html" /> 
   </head><body>
     <div class="related" role="navigation" aria-label="related navigation">
@@ -31,7 +31,7 @@
           <a href="../py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
         <li class="right" >
-          <a href="../multiview_platform.html" title="multiview_platform package"
+          <a href="example1.html" title="Example 1 : First steps with Multiview Platform"
              accesskey="N">next</a> |</li>
         <li class="right" >
           <a href="index.html" title="Multiview Platform Tutorials"
@@ -80,8 +80,8 @@
   <p class="topless"><a href="index.html"
                         title="previous chapter">Multiview Platform Tutorials</a></p>
   <h4>Next topic</h4>
-  <p class="topless"><a href="../multiview_platform.html"
-                        title="next chapter">multiview_platform package</a></p>
+  <p class="topless"><a href="example1.html"
+                        title="next chapter">Example 1 : First steps with Multiview Platform</a></p>
   <div role="note" aria-label="source link">
     <h3>This Page</h3>
     <ul class="this-page-menu">
@@ -115,7 +115,7 @@
           <a href="../py-modindex.html" title="Python Module Index"
              >modules</a> |</li>
         <li class="right" >
-          <a href="../multiview_platform.html" title="multiview_platform package"
+          <a href="example1.html" title="Example 1 : First steps with Multiview Platform"
              >next</a> |</li>
         <li class="right" >
           <a href="index.html" title="Multiview Platform Tutorials"
diff --git a/docs/source/tutorials/example5.rst b/docs/source/tutorials/example5.rst
new file mode 100644
index 00000000..adc8fd8d
--- /dev/null
+++ b/docs/source/tutorials/example5.rst
@@ -0,0 +1,66 @@
+.. |algo| replace:: name_me
+========================================
+Taking control : Use your own algorithms
+========================================
+
+.. role:: python(code)
+    :language: python
+
+One of the main goals of this platform is to be able to add a classifier to it without modifying the code.
+
+Simple task : Adding a monoview classifier
+------------------------------------------
+
+Let's say we want to add a monoview classifier called "algo" to the platform in order to compare it to the other available ones.
+Let's suppose that we have a python module ``algo_module.py`` in which algo is defined in the class :python:`Algo` with the guidelines of ``sklearn``.
+
+To add algo to the platform, let's create a file called ``algo.py`` in ``multiview_platform/mono_multi_view_classifiers/monoview_classifiers/``
+
+In this file let's define the class :python:`AlgoClassifier`, inheriting from :python:`Algo` and :python:`BaseMonoviewClassifier` that contains the required methods for the platfrom.
+
+.. code-block:: python
+
+    import Algo
+    from ..monoview.monoview_utils import BaseMonoviewClassifier
+
+    class AlgoClassifier(Algo, BaseMonoviewClassifier):
+
+
+To be able to use the hyper-parameter optimization of the platform, we need to provide some information in the :python:`__init__()` method.
+Indeed, all the algorithms included in the platform must provide two hyper-parameter-related attributes :
+
+- :python:`self.param_names` that contain the name of the hyper-parameters that have to be optimized (they must correspond to the name of the attributes of the class :python:`Algo`)
+- :python:`self.distribs` that contain the distributions for each of these hyper-parameters.
+
+For example, let's suppose that algo need three hyper-parameters and a random state parameter that allow reproducibility :
+
+- :python:`trade_off` that is a float between 0 and 1,
+- :python:`norm_type` that is a string in :python:`["l1", "l2"]`,
+- :python:`max_depth` that is an integer between 0 and 100.
+
+Then, the :python:`__init__()` method of the :python:`AlgoClassifier` class wil be :
+
+.. code-block:: python
+
+    import Algo
+    from ..monoview.monoview_utils import BaseMonoviewClassifier, CustomUniform, CustomRandint
+
+    class AlgoClassifier(Algo, BaseMonoviewClassifier):
+
+        def __init__(self, random_sate=42, trade_off=0.5, norm_type='l1', max_depth=50)
+
+            super(AlgoClassifier, self).__init__(random_sate=random_sate,
+                                                 trade_off=trade_off,
+                                                 norm_type=norm_type,
+                                                 max_depth=max_depth)
+
+            self.param_names = ["trade_off", "norm_type", "max_depth"]
+            self.distribs = [CustomUniform(),
+                             ["l1", "l2"],
+                             CustomRandint()]
+
+In this method, we added the needed attributes. See REF TO DOC OF DISTRIBS for the dicumentation on the used distributions.
+
+If "algo" is implemented in a sklearn fashion, it is now usable in the platform.
+
+TODO interpretation
diff --git a/docs/source/tutorials/index.rst b/docs/source/tutorials/index.rst
index 751c9e05..2011f548 100644
--- a/docs/source/tutorials/index.rst
+++ b/docs/source/tutorials/index.rst
@@ -12,4 +12,5 @@ The following are some tutorials which explain how to use the toolbox.
     example2
     example3
     example4
+    example5
 
diff --git a/multiview_platform/mono_multi_view_classifiers/result_analysis.py b/multiview_platform/mono_multi_view_classifiers/result_analysis.py
index eff380ac..e7eb4166 100644
--- a/multiview_platform/mono_multi_view_classifiers/result_analysis.py
+++ b/multiview_platform/mono_multi_view_classifiers/result_analysis.py
@@ -732,7 +732,7 @@ def analyze_biclass(results, benchmark_argument_dictionaries, stats_iter, metric
         metrics_scores = get_metrics_scores_biclass(metrics, result)
         example_errors = get_example_errors_biclass(arguments["labels"], result)
         feature_importances = get_feature_importances(result)
-
+        print(feature_importances)
         directory = arguments["directory"]
 
         database_name = arguments["args"]["Base"]["name"]
-- 
GitLab