add option balancing strategy to multimodel template

README.md

@@ -181,12 +181,13 @@ optional arguments:
   --classifiers CLASSIFIERS                 Classifiers to use                              Default: ['logistic', 'nb', 'rf', 'svm']
   --feature_extractors FEATURE_EXTRACTOR    Feature extractors to use                       Default: ['doc2vec', 'sbert', 'tfidf']
   --query_strategies QUERY_STRATEGY         Query strategies to use                         Default: ['max']
+  --balancing_strategies BALANCE_STRATEGY   Balance strategies to use                       Default: ['double']
   --impossible_models IMPOSSIBLE_MODELS     Model combinations to exclude                   Default: ['nb,doc2vec', 'nb,sbert']
 ```
 
 If you want to specify certain combinations of classifiers and feature
 extractors that should and should not be used, you can use the `--classifiers`,
-`--feature_extractors`, `--query_strategies` and `--impossible_models` option. For instance, if you
+`--feature_extractors`, `--query_strategies`, `--balancing_strategies` and `--impossible_models` option. For instance, if you
 want to exclude the combinations of `nb` with `doc2vec` and `logistic` with
 `tfidf`, use the following command:
 

asreviewcontrib/makita/entrypoint.py

@@ -166,6 +166,13 @@ def execute(self, argv):  # noqa: C901
             help="Query strategies to use. Only for template 'multimodel'. "
             "Default: ['max']",
         )
+        parser_template.add_argument(
+            "--balancing_strategies",
+            nargs="+",
+            default=["double"],
+            help="Balancing strategies to use. Only for template 'multimodel'. "
+            "Default: ['max']",
+        )
         parser_template.add_argument(
             "--impossible_models",
             nargs="+",
@@ -275,8 +282,8 @@ def _template(self, args):
                 all_classifiers=args.classifiers,
                 all_feature_extractors=args.feature_extractors,
                 all_query_strategies=args.query_strategies,
+                all_balancing_strategies=args.balancing_strategies,
                 impossible_models=args.impossible_models,
-                balance_strategy=args.balance_strategy,
                 instances_per_query=args.instances_per_query,
                 stop_if=args.stop_if,
                 fp_template=fp_template,

asreviewcontrib/makita/template_multimodel.py

@@ -22,8 +22,8 @@ def render_jobs_multimodel(
     all_classifiers=None,
     all_feature_extractors=None,
     all_query_strategies=None,
+    all_balancing_strategies=None,
     impossible_models=None,
-    balance_strategy="double",
     instances_per_query=1,
     stop_if='min',
     fp_template=None,
@@ -39,6 +39,9 @@ def render_jobs_multimodel(
     if all_query_strategies is None:
         all_query_strategies = ["max"]
 
+    if all_balancing_strategies is None:
+        all_balancing_strategies = ["double"]
+
     if impossible_models is None:
         impossible_models = ["nb,doc2vec", "nb,sbert"]
 
@@ -108,7 +111,6 @@ def render_jobs_multimodel(
         {
             "datasets": params,
             "create_wordclouds": create_wordclouds,
-            "balance_strategy": balance_strategy,
             "instances_per_query": instances_per_query,
             "stop_if": stop_if,
             "output_folder": output_folder,
@@ -119,6 +121,7 @@ def render_jobs_multimodel(
             "all_query_strategies": all_query_strategies,
             "all_classifiers": all_classifiers,
             "all_feature_extractors": all_feature_extractors,
+            "all_balancing_strategies": all_balancing_strategies,
             "impossible_models": [i.split(",") for i in impossible_models],
         }
     )

asreviewcontrib/makita/templates/template_multimodel.txt.template

@@ -48,19 +48,20 @@ mkdir {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/state_files
 {% for classifier in all_classifiers %}
 {% for feature_extraction in all_feature_extractors %}
 {% for query_strategy in all_query_strategies %}
-{% set temp = [] %}{{ temp.append(classifier)|default("", True) }}{{ temp.append(feature_extraction)|default("", True) }}{{ temp.append(query_strategy)|default("", True) }}
+{% for balance_strategy in all_balancing_strategies %}
+{% set temp = [] %}{{ temp.append(classifier)|default("", True) }}{{ temp.append(feature_extraction)|default("", True) }}{{ temp.append(query_strategy)|default("", True) }}{{ temp.append(balance_strategy)|default("", True) }}
 {% if temp in impossible_models %}
 
 # Skipped {{ classifier }} + {{ feature_extraction }} + {{ query_strategy}} model
-{% else %}# Classifier = {{ classifier }}, Feature extractor = {{ feature_extraction }}, Query strategy = {{ query_strategy }}
+{% else %}# Classifier = {{ classifier }}, Feature extractor = {{ feature_extraction }}, Query strategy = {{ query_strategy }}, Balance_strategy = {{balance_strategy}}
 {% for run in range(n_runs) %}
-python -m asreview simulate {{ dataset.input_file }} -s {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/state_files/sim_{{ dataset.input_file_stem }}_{{ classifier }}_{{ feature_extraction }}_{{ query_strategy }}_{{ run }}.asreview --model {{ classifier }} --query_strategy {{query_strategy}} --feature_extraction {{ feature_extraction }} --init_seed {{ dataset.init_seed + run }} --seed {{ dataset.model_seed }} -q {{ query_strategy }} -b {{ balance_strategy }} --n_instances {{ instances_per_query }} --stop_if {{ stop_if }}
-python -m asreview metrics {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/state_files/sim_{{ dataset.input_file_stem }}_{{ classifier }}_{{ feature_extraction }}_{{ query_strategy }}_{{ run }}.asreview -o {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/metrics/metrics_sim_{{ dataset.input_file_stem }}_{{ classifier }}_{{ feature_extraction }}_{{ query_strategy }}_{{ run }}.json
+python -m asreview simulate {{ dataset.input_file }} -s {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/state_files/sim_{{ dataset.input_file_stem }}_{{ classifier }}_{{ feature_extraction }}_{{ query_strategy }}_{{balance_strategy}}_{{ run }}.asreview --model {{ classifier }} --query_strategy {{query_strategy}} --balance_strategy {{balance_strategy}} --feature_extraction {{ feature_extraction }} --init_seed {{ dataset.init_seed + run }} --seed {{ dataset.model_seed }} -q {{ query_strategy }} -b {{ balance_strategy }} --n_instances {{ instances_per_query }} --stop_if {{ stop_if }}
+python -m asreview metrics {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/state_files/sim_{{ dataset.input_file_stem }}_{{ classifier }}_{{ feature_extraction }}_{{ query_strategy }}_{{balance_strategy}}_{{ run }}.asreview -o {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/metrics/metrics_sim_{{ dataset.input_file_stem }}_{{ classifier }}_{{ feature_extraction }}_{{ query_strategy }}_{{balance_strategy}}_{{ run }}.json
 {% endfor %}{% endif %}
 {% endfor %}
 {% endfor %}
 {% endfor %}
-
+{% endfor %}
 
 # Generate plot and tables for dataset
 python {{ scripts_folder }}/get_plot.py -s {{ output_folder }}/simulation/{{ dataset.input_file_stem }}/state_files/ -o {{ output_folder }}/figures/plot_recall_sim_{{ dataset.input_file_stem }}.png --show_legend model