Further reduce initial data size to speed up benchmark

Author: Hrovatin

benchmarks/domains/easom_tl_noise.py

@@ -158,9 +158,9 @@ def easom_tl_noise(settings: ConvergenceBenchmarkSettings) -> pd.DataFrame:
     results = []
 
     def sample_initial_data():
-        p = 0.0001
+        p = 0.00005
         upsample_max_thr = 0.5
-        n_upsample_max = 3
+        n_upsample_max = 1
         data_sub = pd.concat(
             [
                 # Sample specific fraction of initial data

benchmarks/domains/michalewicz_tl_noise.py

@@ -144,9 +144,9 @@ def michalewicz_tl_noise(settings: ConvergenceBenchmarkSettings) -> pd.DataFrame
     results = []
 
     def sample_initial_data():
-        p = 0.0005
+        p = 0.0001
         upsample_max_thr = 3
-        n_upsample_max = 3
+        n_upsample_max = 1
         data_sub = pd.concat(
             [
                 # Sample specific fraction of initial data