merge commit

.github/workflows/ci.yml

@@ -51,5 +51,5 @@ jobs:
           echo "insert a shebang line (#!/bin/bash -x -v) at the beginning of the bash script"
           sed -i '1s/^/#!\/bin\/bash -x -v\n/' run_benchmark_standalone.sh
           bash -x -v run_benchmark_standalone.sh examples/benchmark/demo_shared_hyper_grid.yaml
-          cat zoutput/benchmarks/mnist_benchmark_grid/hyperparameters.csv
-          cat zoutput/benchmarks/mnist_benchmark_grid/results.csv
+          cat zoutput/benchmarks/mnist_benchmark_grid*/hyperparameters.csv
+          cat zoutput/benchmarks/mnist_benchmark_grid*/results.csv

docs/doc_usage_cmd.md

@@ -29,7 +29,7 @@ To run DomainLab, the minimum necessary parameters are:
 
   - **Command Line Usage:**
     - For a single value: `python script.py --gamma_reg=0.1`
-    - For multiple values: `python script.py --gamma_reg='default=0.1,dann=0.05,diva=0.2'`
+    - For multiple values: `python script.py --gamma_reg='default=0.1,dann=0.05,jigen=0.2'`
 
   - **YAML Configuration:**
     - For a single value:

domainlab/arg_parser.py

@@ -65,7 +65,10 @@ def mk_parser_main():
     parser.add_argument(
         "--gamma_reg",
         default=0.1,
-        help="weight of regularization loss, can specify per model as 'dann=1.0,diva=2.0'",
+        help="weight of regularization loss in the form of $$\ell(\cdot) + \mu \times R(\cdot)$$ \
+        can specify per model as 'default=3.0, dann=1.0,jigen=2.0', where default refer to gamma for trainer \
+        note diva is implemented $$\ell(\cdot) + \mu \times R(\cdot)$$ \
+        so diva does not have gamma_reg",
         action=ParseValuesOrKeyValuePairs
     )