|
19 | 19 | timlinucb_parallel_t, |
20 | 20 | ) |
21 | 21 | from helpers import tim_t, tqdm_joblib, tim_t_parallel, run_algorithm |
22 | | -from rsb import rsb2 |
| 22 | +from rsb import rsb |
23 | 23 |
|
24 | 24 | # -------------------------------------------------------------------------------------- |
25 | 25 | # %% ------------------------------ Initial setup -------------------------------------- |
|
141 | 141 | df_digg_feats = generate_node2vec_fetures( |
142 | 142 | df_digg, dataset_name="digg", num_features=NUM_FEATURES_NODE2VEC |
143 | 143 | ) |
144 | | - |
| 144 | +df_digg_feats |
145 | 145 | # -------------------------------------------------------------------------------------- |
146 | 146 | # %% --------------------------- Preparing the School dataset -------------------------- |
147 | 147 | # -------------------------------------------------------------------------------------- |
|
382 | 382 | # { |
383 | 383 | # "gamma": gamma, |
384 | 384 | # "c": c, |
385 | | -# "df": rsb2( |
| 385 | +# "df": rsb( |
386 | 386 | # DATASET, |
387 | 387 | # DATASET_NODES, |
388 | 388 | # DATASET_TIMES, |
|
416 | 416 | # "gamma": OPTIMAL_GAMMA_RSB, |
417 | 417 | # "c": OPTIMAL_C_RSB, |
418 | 418 | # "num_repeats_expect": num_repeats_expect, |
419 | | -# "df": rsb2( |
| 419 | +# "df": rsb( |
420 | 420 | # DATASET, |
421 | 421 | # DATASET_NODES, |
422 | 422 | # DATASET_TIMES, |
|
558 | 558 | # ) |
559 | 559 | # |
560 | 560 | # # Setting up RSB with persistent features |
561 | | -# results["rsb_persist"] = rsb2( |
| 561 | +# results["rsb_persist"] = rsb( |
562 | 562 | # DATASET, |
563 | 563 | # DATASET_NODES, |
564 | 564 | # DATASET_TIMES, |
|
570 | 570 | # ) |
571 | 571 | # |
572 | 572 | # # Setting up RSB without persistent features |
573 | | -# results["rsb_nopersist"] = rsb2( |
| 573 | +# results["rsb_nopersist"] = rsb( |
574 | 574 | # DATASET, |
575 | 575 | # DATASET_NODES, |
576 | 576 | # DATASET_TIMES, |
|
1080 | 1080 | # { |
1081 | 1081 | # "gamma": gamma, |
1082 | 1082 | # "c": c, |
1083 | | -# "df": rsb2( |
| 1083 | +# "df": rsb( |
1084 | 1084 | # DATASET, |
1085 | 1085 | # DATASET_NODES, |
1086 | 1086 | # DATASET_TIMES, |
|
1150 | 1150 | # setup_array.append( |
1151 | 1151 | # { |
1152 | 1152 | # "algo_name": "rsb_persist", |
1153 | | -# "function": rsb2, |
| 1153 | +# "function": rsb, |
1154 | 1154 | # "args": [DATASET, DATASET_NODES, DATASET_TIMES], |
1155 | 1155 | # "kwargs": { |
1156 | 1156 | # "num_seeds": NUM_SEEDS_TO_FIND, |
|
1167 | 1167 | # setup_array.append( |
1168 | 1168 | # { |
1169 | 1169 | # "algo_name": "rsb_nopersist", |
1170 | | -# "function": rsb2, |
| 1170 | +# "function": rsb, |
1171 | 1171 | # "args": [DATASET, DATASET_NODES, DATASET_TIMES], |
1172 | 1172 | # "kwargs": { |
1173 | 1173 | # "num_seeds": NUM_SEEDS_TO_FIND, |
|
1285 | 1285 | ) |
1286 | 1286 |
|
1287 | 1287 | # Setting up RSB with persistent features |
1288 | | -results["rsb_persist"] = rsb2( |
| 1288 | +results["rsb_persist"] = rsb( |
1289 | 1289 | DATASET, |
1290 | 1290 | DATASET_NODES, |
1291 | 1291 | DATASET_TIMES, |
|
1297 | 1297 | ) |
1298 | 1298 |
|
1299 | 1299 | # Setting up RSB without persistent features |
1300 | | -results["rsb_nopersist"] = rsb2( |
| 1300 | +results["rsb_nopersist"] = rsb( |
1301 | 1301 | DATASET, |
1302 | 1302 | DATASET_NODES, |
1303 | 1303 | DATASET_TIMES, |
|
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