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Calculating profit per cycle

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Victor Mylle
2024-01-15 21:59:35 +00:00
parent 428e3d9e4b
commit d1074281c4
1 changed files with 4 additions and 2 deletions
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6
src/policies/policy_executer.py
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@@ -176,14 +176,13 @@ def next_day_test_set(model, data_processor, test_loader, ipc, predict_NRV: call
return predicted_nrv_profits_cycles, baseline_profits_cycles
def main():
configuration, model, data_processor, test_loader = load_model(args.task_id)
clearml_helper = ClearMLHelper(project_name="Thesis/NrvForecast")
task = clearml_helper.get_task(task_name="Policy Test")
task.connect(args, name="Arguments")
task.execute_remotely(queue_name="default", exit_process=True)
configuration, model, data_processor, test_loader = load_model(args.task_id)
if args.model_type == "quantile":
predict_NRV = quantile_auto_regressive_predicted_NRV
@@ -214,6 +213,9 @@ def main():
# sort by name, penalty ascending
df = df.sort_values(by=["name", "penalty"])
# calculate profit per cycle
df["profit_per_cycle"] = df["profit"] / df["cycles"]
task.get_logger().report_table(
"Policy Results",
"Policy Results",