This commit is contained in:
Alex Blank
2025-05-19 13:59:16 +02:00
parent 426f4d6963
commit c6defa2065
196 changed files with 18625 additions and 1 deletions
+48
View File
@@ -0,0 +1,48 @@
from functools import partial
import numpy as np
import sklearn
from utils.evaluation import *
def get_eval_functions(model_configuration: dict):
"""
Returns the evaluation functions for the model
:return: list of evaluation functions
"""
eval_functions = [
{
"name": "mean_absolute_error_overall",
"input_index": 0,
"eval_fn": sklearn.metrics.mean_absolute_error,
"accumulation_fn": np.mean,
},
{
"name": "mean_absolute_error_pre_ov",
"input_index": 0,
"eval_fn": pre_ov_error,
"accumulation_fn": np.mean,
},
{
"name": "mean_absolute_error_after_ov",
"input_index": 0,
"eval_fn": after_ov_error,
"accumulation_fn": np.mean,
},
{
"name": "mean_absolute_error_ov_in_days",
"input_index": 0,
"eval_fn": partial(ov_error, model_configuration=model_configuration),
"accumulation_fn": np.mean,
},
{
"name": "mean_absolute_error_five_days_before_ov",
"input_index": 0,
"eval_fn": partial(day_relative_to_ov_error,
day_relative_to_ov=-5,
model_configuration=model_configuration),
"accumulation_fn": np.mean,
}
]
return eval_functions