Updated run-scripts for hdfml

run_with_oversampling.py

@@ -30,9 +30,9 @@ def main(parser_args):
         train_model=True, create_new_model=True, network="UBA",
         model=IntelliO3_ts_architecture, oversampling_method="bin_oversampling",
         evaluate_bootstraps=False,  # plot_list=["PlotCompetitiveSkillScore"],
-        competitors=["test_model", "test_model2"],
+        competitors=["IntelliO3"],
         competitor_path=os.path.join(os.getcwd(), "data", "comp_test"),
-        window_lead_time=2, oversampling_bins=10, oversampling_rates_cap=100,
+        window_lead_time=1, oversampling_bins=10, oversampling_rates_cap=100,
         **parser_args.__dict__)
     workflow.run()
 

run_without_oversampling.py

@@ -30,9 +30,9 @@ def main(parser_args):
         train_model=True, create_new_model=True, network="UBA",
         model=IntelliO3_ts_architecture,
         evaluate_bootstraps=False,  # plot_list=["PlotCompetitiveSkillScore"],
-        competitors=["test_model", "test_model2"],
+        #competitors=["test_model", "test_model2"],
         competitor_path=os.path.join(os.getcwd(), "data", "comp_test"),
-        window_lead_time=2, oversampling_bins=10, oversampling_rates_cap=100,
+        window_lead_time=1, #oversampling_bins=10, oversampling_rates_cap=100,
         **parser_args.__dict__)
     workflow.run()