Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,134 +27,134 @@ configs:
|
|
| 27 |
path: "Classification/AGORA/100/BC-I/X_val_BC-I-100.csv"
|
| 28 |
- split: test
|
| 29 |
path: "Classification/AGORA/100/BC-I/X_test_BC-I-100.csv"
|
| 30 |
-
- config_name: Classification_AGORA_BC-II-100
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
- config_name: Classification_AGORA_BC-III-100
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
- config_name: Classification_AGORA_BC-IV-100
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
- config_name: Classification_AGORA_BC-V-100
|
| 55 |
-
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
- config_name: Classification_AGORA_MC-I-100
|
| 63 |
-
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
- config_name: Classification_AGORA_MC-II-100
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
|
| 78 |
-
- config_name: Classification_AGORA_MC-III-100
|
| 79 |
-
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
- config_name: Classification_AGORA_BC-I-50
|
| 87 |
-
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
|
| 94 |
-
- config_name: Classification_AGORA_BC-II-50
|
| 95 |
-
|
| 96 |
-
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
-
|
| 101 |
-
|
| 102 |
-
- config_name: Classification_AGORA_BC-III-50
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
- config_name: Classification_AGORA_BC-IV-50
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
|
| 117 |
-
|
| 118 |
-
- config_name: Classification_AGORA_BC-V-50
|
| 119 |
-
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
- config_name: Classification_AGORA_MC-I-50
|
| 127 |
-
|
| 128 |
-
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
- config_name: Classification_AGORA_MC-II-50
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
|
| 142 |
-
- config_name: Classification_AGORA_MC-III-50
|
| 143 |
-
|
| 144 |
-
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
|
| 148 |
-
|
| 149 |
-
|
| 150 |
-
- config_name: Classification_CARVEME_BC-I-100
|
| 151 |
-
|
| 152 |
-
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
|
| 156 |
-
|
| 157 |
-
|
| 158 |
# - config_name: Classification_CARVEME_BC-II-100
|
| 159 |
# data_files:
|
| 160 |
# - split: train
|
|
@@ -163,198 +163,198 @@ configs:
|
|
| 163 |
# path: "Classification/CARVEME/100/BC-II/X_val_BC-II-100.csv"
|
| 164 |
# - split: test
|
| 165 |
# path: "Classification/CARVEME/100/BC-II/X_test_BC-II-100.csv"
|
| 166 |
-
- config_name: Classification_CARVEME_BC-III-100
|
| 167 |
-
|
| 168 |
-
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
|
| 172 |
-
|
| 173 |
-
|
| 174 |
-
- config_name: Classification_CARVEME_BC-IV-100
|
| 175 |
-
|
| 176 |
-
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
|
| 180 |
-
|
| 181 |
-
|
| 182 |
-
- config_name: Classification_CARVEME_BC-V-100
|
| 183 |
-
|
| 184 |
-
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
|
| 188 |
-
|
| 189 |
-
|
| 190 |
-
- config_name: Classification_CARVEME_MC-I-100
|
| 191 |
-
|
| 192 |
-
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
|
| 196 |
-
|
| 197 |
-
|
| 198 |
-
- config_name: Classification_CARVEME_MC-II-100
|
| 199 |
-
|
| 200 |
-
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
|
| 204 |
-
|
| 205 |
-
|
| 206 |
-
- config_name: Classification_CARVEME_MC-III-100
|
| 207 |
-
|
| 208 |
-
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
|
| 212 |
-
|
| 213 |
-
|
| 214 |
-
- config_name: Classification_CARVEME_BC-I-50
|
| 215 |
-
|
| 216 |
-
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
|
| 220 |
-
|
| 221 |
-
|
| 222 |
-
- config_name: Classification_CARVEME_BC-II-50
|
| 223 |
-
|
| 224 |
-
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
|
| 228 |
-
|
| 229 |
-
|
| 230 |
-
- config_name: Classification_CARVEME_BC-III-50
|
| 231 |
-
|
| 232 |
-
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
|
| 236 |
-
|
| 237 |
-
|
| 238 |
-
- config_name: Classification_CARVEME_BC-IV-50
|
| 239 |
-
|
| 240 |
-
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
|
| 244 |
-
|
| 245 |
-
|
| 246 |
-
- config_name: Classification_CARVEME_BC-V-50
|
| 247 |
-
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
|
| 252 |
-
|
| 253 |
-
|
| 254 |
-
- config_name: Classification_CARVEME_MC-I-50
|
| 255 |
-
|
| 256 |
-
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
|
| 260 |
-
|
| 261 |
-
|
| 262 |
-
- config_name: Classification_CARVEME_MC-II-50
|
| 263 |
-
|
| 264 |
-
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
|
| 268 |
-
|
| 269 |
-
|
| 270 |
-
- config_name: Classification_CARVEME_MC-III-50
|
| 271 |
-
|
| 272 |
-
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
|
| 276 |
-
|
| 277 |
-
|
| 278 |
-
- config_name: Regression_AGORA_GR-I-100
|
| 279 |
-
|
| 280 |
-
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
|
| 284 |
-
|
| 285 |
-
|
| 286 |
-
- config_name: Regression_AGORA_GR-II-100
|
| 287 |
-
|
| 288 |
-
|
| 289 |
-
|
| 290 |
-
|
| 291 |
-
|
| 292 |
-
|
| 293 |
-
|
| 294 |
-
- config_name: Regression_AGORA_GR-III-100
|
| 295 |
-
|
| 296 |
-
|
| 297 |
-
|
| 298 |
-
|
| 299 |
-
|
| 300 |
-
|
| 301 |
-
|
| 302 |
-
- config_name: Regression_AGORA_GR-I-50
|
| 303 |
-
|
| 304 |
-
|
| 305 |
-
|
| 306 |
-
|
| 307 |
-
|
| 308 |
-
|
| 309 |
-
|
| 310 |
-
- config_name: Regression_AGORA_GR-II-50
|
| 311 |
-
|
| 312 |
-
|
| 313 |
-
|
| 314 |
-
|
| 315 |
-
|
| 316 |
-
|
| 317 |
-
|
| 318 |
-
- config_name: Regression_AGORA_GR-III-50
|
| 319 |
-
|
| 320 |
-
|
| 321 |
-
|
| 322 |
-
|
| 323 |
-
|
| 324 |
-
|
| 325 |
-
|
| 326 |
-
- config_name: Regression_CARVEME_GR-I-100
|
| 327 |
-
|
| 328 |
-
|
| 329 |
-
|
| 330 |
-
|
| 331 |
-
|
| 332 |
-
|
| 333 |
-
|
| 334 |
-
- config_name: Regression_CARVEME_GR-II-100
|
| 335 |
-
|
| 336 |
-
|
| 337 |
-
|
| 338 |
-
|
| 339 |
-
|
| 340 |
-
|
| 341 |
-
|
| 342 |
-
- config_name: Regression_CARVEME_GR-III-100
|
| 343 |
-
|
| 344 |
-
|
| 345 |
-
|
| 346 |
-
|
| 347 |
-
|
| 348 |
-
|
| 349 |
-
|
| 350 |
-
- config_name: Regression_CARVEME_GR-I-50
|
| 351 |
-
|
| 352 |
-
|
| 353 |
-
|
| 354 |
-
|
| 355 |
-
|
| 356 |
-
|
| 357 |
-
|
| 358 |
# - config_name: Regression_CARVEME_GR-II-50
|
| 359 |
# data_files:
|
| 360 |
# - split: train
|
|
@@ -363,102 +363,102 @@ configs:
|
|
| 363 |
# path: "Regression/CARVEME/50/GR-II/X_val_GR-II.csv"
|
| 364 |
# - split: test
|
| 365 |
# path: "Regression/CARVEME/50/GR-II/X_test_GR-II.csv"
|
| 366 |
-
- config_name: Regression_CARVEME_GR-III-50
|
| 367 |
-
data_files:
|
| 368 |
-
- split: train
|
| 369 |
-
path: "Regression/CARVEME/50/GR-III/X_train_GR-III.csv"
|
| 370 |
-
- split: val
|
| 371 |
-
path: "Regression/CARVEME/50/GR-III/X_val_GR-III.csv"
|
| 372 |
-
- split: test
|
| 373 |
-
path: "Regression/CARVEME/50/GR-III/X_test_GR-III.csv"
|
| 374 |
-
- config_name: Transfer_AGORA_TL-I-100
|
| 375 |
-
data_files:
|
| 376 |
-
- split: train
|
| 377 |
-
path: "Transfer Learning/AGORA/100/TL-I/X_train_TL-I.csv"
|
| 378 |
-
- split: val
|
| 379 |
-
path: "Transfer Learning/AGORA/100/TL-I/X_val_TL-I.csv"
|
| 380 |
-
- split: test
|
| 381 |
-
path: "Transfer Learning/AGORA/100/TL-I/X_test_TL-I.csv"
|
| 382 |
-
# - config_name: Transfer_AGORA_TL-II-100
|
| 383 |
# data_files:
|
| 384 |
# - split: train
|
| 385 |
-
# path: "
|
| 386 |
# - split: val
|
| 387 |
-
# path: "
|
| 388 |
# - split: test
|
| 389 |
-
# path: "
|
| 390 |
-
- config_name: Transfer_AGORA_TL-I-
|
| 391 |
-
|
| 392 |
-
|
| 393 |
-
|
| 394 |
-
|
| 395 |
-
|
| 396 |
-
|
| 397 |
-
|
| 398 |
-
- config_name: Transfer_AGORA_TL-II-
|
| 399 |
-
|
| 400 |
-
|
| 401 |
-
|
| 402 |
-
|
| 403 |
-
|
| 404 |
-
|
| 405 |
-
|
| 406 |
-
- config_name:
|
| 407 |
-
|
| 408 |
-
|
| 409 |
-
|
| 410 |
-
|
| 411 |
-
|
| 412 |
-
|
| 413 |
-
|
| 414 |
-
- config_name:
|
| 415 |
-
|
| 416 |
-
|
| 417 |
-
|
| 418 |
-
|
| 419 |
-
|
| 420 |
-
|
| 421 |
-
|
| 422 |
-
- config_name: Transfer_CARVEME_TL-I-
|
| 423 |
-
|
| 424 |
-
|
| 425 |
-
|
| 426 |
-
|
| 427 |
-
|
| 428 |
-
|
| 429 |
-
|
| 430 |
-
- config_name: Transfer_CARVEME_TL-II-
|
| 431 |
-
|
| 432 |
-
|
| 433 |
-
|
| 434 |
-
|
| 435 |
-
|
| 436 |
-
|
| 437 |
-
|
| 438 |
-
- config_name:
|
| 439 |
-
|
| 440 |
-
|
| 441 |
-
|
| 442 |
-
|
| 443 |
-
|
| 444 |
-
-
|
| 445 |
-
|
| 446 |
-
|
| 447 |
-
|
| 448 |
-
|
| 449 |
-
|
| 450 |
-
-
|
| 451 |
-
|
| 452 |
-
|
| 453 |
-
|
| 454 |
-
|
| 455 |
-
|
| 456 |
-
-
|
| 457 |
-
|
| 458 |
-
|
| 459 |
-
|
| 460 |
-
|
| 461 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 462 |
---
|
| 463 |
|
| 464 |
Welcome to the Friend or Foe Collection!
|
|
|
|
| 27 |
path: "Classification/AGORA/100/BC-I/X_val_BC-I-100.csv"
|
| 28 |
- split: test
|
| 29 |
path: "Classification/AGORA/100/BC-I/X_test_BC-I-100.csv"
|
| 30 |
+
# - config_name: Classification_AGORA_BC-II-100
|
| 31 |
+
# data_files:
|
| 32 |
+
# - split: train
|
| 33 |
+
# path: "Classification/AGORA/100/BC-II/X_train_BC-II-100.csv"
|
| 34 |
+
# - split: val
|
| 35 |
+
# path: "Classification/AGORA/100/BC-II/X_val_BC-II-100.csv"
|
| 36 |
+
# - split: test
|
| 37 |
+
# path: "Classification/AGORA/100/BC-II/X_test_BC-II-100.csv"
|
| 38 |
+
# - config_name: Classification_AGORA_BC-III-100
|
| 39 |
+
# data_files:
|
| 40 |
+
# - split: train
|
| 41 |
+
# path: "Classification/AGORA/100/BC-III/X_train_BC-III-100.csv"
|
| 42 |
+
# - split: val
|
| 43 |
+
# path: "Classification/AGORA/100/BC-III/X_val_BC-III-100.csv"
|
| 44 |
+
# - split: test
|
| 45 |
+
# path: "Classification/AGORA/100/BC-III/X_test_BC-III-100.csv"
|
| 46 |
+
# - config_name: Classification_AGORA_BC-IV-100
|
| 47 |
+
# data_files:
|
| 48 |
+
# - split: train
|
| 49 |
+
# path: "Classification/AGORA/100/BC-IV/X_train_BC-IV-100.csv"
|
| 50 |
+
# - split: val
|
| 51 |
+
# path: "Classification/AGORA/100/BC-IV/X_val_BC-IV-100.csv"
|
| 52 |
+
# - split: test
|
| 53 |
+
# path: "Classification/AGORA/100/BC-IV/X_test_BC-IV-100.csv"
|
| 54 |
+
# - config_name: Classification_AGORA_BC-V-100
|
| 55 |
+
# data_files:
|
| 56 |
+
# - split: train
|
| 57 |
+
# path: "Classification/AGORA/100/BC-V/X_train_BC-V-100.csv"
|
| 58 |
+
# - split: val
|
| 59 |
+
# path: "Classification/AGORA/100/BC-V/X_val_BC-V-100.csv"
|
| 60 |
+
# - split: test
|
| 61 |
+
# path: "Classification/AGORA/100/BC-V/X_test_BC-V-100.csv"
|
| 62 |
+
# - config_name: Classification_AGORA_MC-I-100
|
| 63 |
+
# data_files:
|
| 64 |
+
# - split: train
|
| 65 |
+
# path: "Classification/AGORA/100/MC-I/X_train_MC-I-100.csv"
|
| 66 |
+
# - split: val
|
| 67 |
+
# path: "Classification/AGORA/100/MC-I/X_val_MC-I-100.csv"
|
| 68 |
+
# - split: test
|
| 69 |
+
# path: "Classification/AGORA/100/MC-I/X_test_MC-I-100.csv"
|
| 70 |
+
# - config_name: Classification_AGORA_MC-II-100
|
| 71 |
+
# data_files:
|
| 72 |
+
# - split: train
|
| 73 |
+
# path: "Classification/AGORA/100/MC-II/X_train_MC-II-100.csv"
|
| 74 |
+
# - split: val
|
| 75 |
+
# path: "Classification/AGORA/100/MC-II/X_val_MC-II-100.csv"
|
| 76 |
+
# - split: test
|
| 77 |
+
# path: "Classification/AGORA/100/MC-II/X_test_MC-II-100.csv"
|
| 78 |
+
# - config_name: Classification_AGORA_MC-III-100
|
| 79 |
+
# data_files:
|
| 80 |
+
# - split: train
|
| 81 |
+
# path: "Classification/AGORA/100/MC-III/X_train_MC-III-100.csv"
|
| 82 |
+
# - split: val
|
| 83 |
+
# path: "Classification/AGORA/100/MC-III/X_val_MC-III-100.csv"
|
| 84 |
+
# - split: test
|
| 85 |
+
# path: "Classification/AGORA/100/MC-III/X_test_MC-III-100.csv"
|
| 86 |
+
# - config_name: Classification_AGORA_BC-I-50
|
| 87 |
+
# data_files:
|
| 88 |
+
# - split: train
|
| 89 |
+
# path: "Classification/AGORA/50/BC-I/X_train_BC-I-50.csv"
|
| 90 |
+
# - split: val
|
| 91 |
+
# path: "Classification/AGORA/50/BC-I/X_val_BC-I-50.csv"
|
| 92 |
+
# - split: test
|
| 93 |
+
# path: "Classification/AGORA/50/BC-I/X_test_BC-I-50.csv"
|
| 94 |
+
# - config_name: Classification_AGORA_BC-II-50
|
| 95 |
+
# data_files:
|
| 96 |
+
# - split: train
|
| 97 |
+
# path: "Classification/AGORA/50/BC-II/X_train_BC-II-50.csv"
|
| 98 |
+
# - split: val
|
| 99 |
+
# path: "Classification/AGORA/50/BC-II/X_val_BC-II-50.csv"
|
| 100 |
+
# - split: test
|
| 101 |
+
# path: "Classification/AGORA/50/BC-II/X_test_BC-II-50.csv"
|
| 102 |
+
# - config_name: Classification_AGORA_BC-III-50
|
| 103 |
+
# data_files:
|
| 104 |
+
# - split: train
|
| 105 |
+
# path: "Classification/AGORA/50/BC-III/X_train_BC-III-50.csv"
|
| 106 |
+
# - split: val
|
| 107 |
+
# path: "Classification/AGORA/50/BC-III/X_val_BC-III-50.csv"
|
| 108 |
+
# - split: test
|
| 109 |
+
# path: "Classification/AGORA/50/BC-III/X_test_BC-III-50.csv"
|
| 110 |
+
# - config_name: Classification_AGORA_BC-IV-50
|
| 111 |
+
# data_files:
|
| 112 |
+
# - split: train
|
| 113 |
+
# path: "Classification/AGORA/50/BC-IV/X_train_BC-IV-50.csv"
|
| 114 |
+
# - split: val
|
| 115 |
+
# path: "Classification/AGORA/50/BC-IV/X_val_BC-IV-50.csv"
|
| 116 |
+
# - split: test
|
| 117 |
+
# path: "Classification/AGORA/50/BC-IV/X_test_BC-IV-50.csv"
|
| 118 |
+
# - config_name: Classification_AGORA_BC-V-50
|
| 119 |
+
# data_files:
|
| 120 |
+
# - split: train
|
| 121 |
+
# path: "Classification/AGORA/50/BC-V/X_train_BC-V-50.csv"
|
| 122 |
+
# - split: val
|
| 123 |
+
# path: "Classification/AGORA/50/BC-V/X_val_BC-V-50.csv"
|
| 124 |
+
# - split: test
|
| 125 |
+
# path: "Classification/AGORA/50/BC-V/X_test_BC-V-50.csv"
|
| 126 |
+
# - config_name: Classification_AGORA_MC-I-50
|
| 127 |
+
# data_files:
|
| 128 |
+
# - split: train
|
| 129 |
+
# path: "Classification/AGORA/50/MC-I/X_train_MC-I-50.csv"
|
| 130 |
+
# - split: val
|
| 131 |
+
# path: "Classification/AGORA/50/MC-I/X_val_MC-I-50.csv"
|
| 132 |
+
# - split: test
|
| 133 |
+
# path: "Classification/AGORA/50/MC-I/X_test_MC-I-50.csv"
|
| 134 |
+
# - config_name: Classification_AGORA_MC-II-50
|
| 135 |
+
# data_files:
|
| 136 |
+
# - split: train
|
| 137 |
+
# path: "Classification/AGORA/50/MC-II/X_train_MC-II-50.csv"
|
| 138 |
+
# - split: val
|
| 139 |
+
# path: "Classification/AGORA/50/MC-II/X_val_MC-II-50.csv"
|
| 140 |
+
# - split: test
|
| 141 |
+
# path: "Classification/AGORA/50/MC-II/X_test_MC-II-50.csv"
|
| 142 |
+
# - config_name: Classification_AGORA_MC-III-50
|
| 143 |
+
# data_files:
|
| 144 |
+
# - split: train
|
| 145 |
+
# path: "Classification/AGORA/50/MC-III/X_train_MC-III-50.csv"
|
| 146 |
+
# - split: val
|
| 147 |
+
# path: "Classification/AGORA/50/MC-III/X_val_MC-III-50.csv"
|
| 148 |
+
# - split: test
|
| 149 |
+
# path: "Classification/AGORA/50/MC-III/X_test_MC-III-50.csv"
|
| 150 |
+
# - config_name: Classification_CARVEME_BC-I-100
|
| 151 |
+
# data_files:
|
| 152 |
+
# - split: train
|
| 153 |
+
# path: "Classification/CARVEME/100/BC-I/X_train_BC-I-100.csv"
|
| 154 |
+
# - split: val
|
| 155 |
+
# path: "Classification/CARVEME/100/BC-I/X_val_BC-I-100.csv"
|
| 156 |
+
# - split: test
|
| 157 |
+
# path: "Classification/CARVEME/100/BC-I/X_test_BC-I-100.csv"
|
| 158 |
# - config_name: Classification_CARVEME_BC-II-100
|
| 159 |
# data_files:
|
| 160 |
# - split: train
|
|
|
|
| 163 |
# path: "Classification/CARVEME/100/BC-II/X_val_BC-II-100.csv"
|
| 164 |
# - split: test
|
| 165 |
# path: "Classification/CARVEME/100/BC-II/X_test_BC-II-100.csv"
|
| 166 |
+
# - config_name: Classification_CARVEME_BC-III-100
|
| 167 |
+
# data_files:
|
| 168 |
+
# - split: train
|
| 169 |
+
# path: "Classification/CARVEME/100/BC-III/X_train_BC-III-100.csv"
|
| 170 |
+
# - split: val
|
| 171 |
+
# path: "Classification/CARVEME/100/BC-III/X_val_BC-III-100.csv"
|
| 172 |
+
# - split: test
|
| 173 |
+
# path: "Classification/CARVEME/100/BC-III/X_test_BC-III-100.csv"
|
| 174 |
+
# - config_name: Classification_CARVEME_BC-IV-100
|
| 175 |
+
# data_files:
|
| 176 |
+
# - split: train
|
| 177 |
+
# path: "Classification/CARVEME/100/BC-IV/X_train_BC-IV-100.csv"
|
| 178 |
+
# - split: val
|
| 179 |
+
# path: "Classification/CARVEME/100/BC-IV/X_val_BC-IV-100.csv"
|
| 180 |
+
# - split: test
|
| 181 |
+
# path: "Classification/CARVEME/100/BC-IV/X_test_BC-IV-100.csv"
|
| 182 |
+
# - config_name: Classification_CARVEME_BC-V-100
|
| 183 |
+
# data_files:
|
| 184 |
+
# - split: train
|
| 185 |
+
# path: "Classification/CARVEME/100/BC-V/X_train_BC-V-100.csv"
|
| 186 |
+
# - split: val
|
| 187 |
+
# path: "Classification/CARVEME/100/BC-V/X_val_BC-V-100.csv"
|
| 188 |
+
# - split: test
|
| 189 |
+
# path: "Classification/CARVEME/100/BC-V/X_test_BC-V-100.csv"
|
| 190 |
+
# - config_name: Classification_CARVEME_MC-I-100
|
| 191 |
+
# data_files:
|
| 192 |
+
# - split: train
|
| 193 |
+
# path: "Classification/CARVEME/100/MC-I/X_train_MC-I-100.csv"
|
| 194 |
+
# - split: val
|
| 195 |
+
# path: "Classification/CARVEME/100/MC-I/X_val_MC-I-100.csv"
|
| 196 |
+
# - split: test
|
| 197 |
+
# path: "Classification/CARVEME/100/MC-I/X_test_MC-I-100.csv"
|
| 198 |
+
# - config_name: Classification_CARVEME_MC-II-100
|
| 199 |
+
# data_files:
|
| 200 |
+
# - split: train
|
| 201 |
+
# path: "Classification/CARVEME/100/MC-II/X_train_MC-II-100.csv"
|
| 202 |
+
# - split: val
|
| 203 |
+
# path: "Classification/CARVEME/100/MC-II/X_val_MC-II-100.csv"
|
| 204 |
+
# - split: test
|
| 205 |
+
# path: "Classification/CARVEME/100/MC-II/X_test_MC-II-100.csv"
|
| 206 |
+
# - config_name: Classification_CARVEME_MC-III-100
|
| 207 |
+
# data_files:
|
| 208 |
+
# - split: train
|
| 209 |
+
# path: "Classification/CARVEME/100/MC-III/X_train_MC-III-100.csv"
|
| 210 |
+
# - split: val
|
| 211 |
+
# path: "Classification/CARVEME/100/MC-III/X_val_MC-III-100.csv"
|
| 212 |
+
# - split: test
|
| 213 |
+
# path: "Classification/CARVEME/100/MC-III/X_test_MC-III-100.csv"
|
| 214 |
+
# - config_name: Classification_CARVEME_BC-I-50
|
| 215 |
+
# data_files:
|
| 216 |
+
# - split: train
|
| 217 |
+
# path: "Classification/CARVEME/50/BC-I/X_train_BC-I-50.csv"
|
| 218 |
+
# - split: val
|
| 219 |
+
# path: "Classification/CARVEME/50/BC-I/X_val_BC-I-50.csv"
|
| 220 |
+
# - split: test
|
| 221 |
+
# path: "Classification/CARVEME/50/BC-I/X_test_BC-I-50.csv"
|
| 222 |
+
# - config_name: Classification_CARVEME_BC-II-50
|
| 223 |
+
# data_files:
|
| 224 |
+
# - split: train
|
| 225 |
+
# path: "Classification/CARVEME/50/BC-II/X_train_BC-II-50.csv"
|
| 226 |
+
# - split: val
|
| 227 |
+
# path: "Classification/CARVEME/50/BC-II/X_val_BC-II-50.csv"
|
| 228 |
+
# - split: test
|
| 229 |
+
# path: "Classification/CARVEME/50/BC-II/X_test_BC-II-50.csv"
|
| 230 |
+
# - config_name: Classification_CARVEME_BC-III-50
|
| 231 |
+
# data_files:
|
| 232 |
+
# - split: train
|
| 233 |
+
# path: "Classification/CARVEME/50/BC-III/X_train_BC-III-50.csv"
|
| 234 |
+
# - split: val
|
| 235 |
+
# path: "Classification/CARVEME/50/BC-III/X_val_BC-III-50.csv"
|
| 236 |
+
# - split: test
|
| 237 |
+
# path: "Classification/CARVEME/50/BC-III/X_test_BC-III-50.csv"
|
| 238 |
+
# - config_name: Classification_CARVEME_BC-IV-50
|
| 239 |
+
# data_files:
|
| 240 |
+
# - split: train
|
| 241 |
+
# path: "Classification/CARVEME/50/BC-IV/X_train_BC-IV-50.csv"
|
| 242 |
+
# - split: val
|
| 243 |
+
# path: "Classification/CARVEME/50/BC-IV/X_val_BC-IV-50.csv"
|
| 244 |
+
# - split: test
|
| 245 |
+
# path: "Classification/CARVEME/50/BC-IV/X_test_BC-IV-50.csv"
|
| 246 |
+
# - config_name: Classification_CARVEME_BC-V-50
|
| 247 |
+
# data_files:
|
| 248 |
+
# - split: train
|
| 249 |
+
# path: "Classification/CARVEME/50/BC-V/X_train_BC-V-50.csv"
|
| 250 |
+
# - split: val
|
| 251 |
+
# path: "Classification/CARVEME/50/BC-V/X_val_BC-V-50.csv"
|
| 252 |
+
# - split: test
|
| 253 |
+
# path: "Classification/CARVEME/50/BC-V/X_test_BC-V-50.csv"
|
| 254 |
+
# - config_name: Classification_CARVEME_MC-I-50
|
| 255 |
+
# data_files:
|
| 256 |
+
# - split: train
|
| 257 |
+
# path: "Classification/CARVEME/50/MC-I/X_train_MC-I-50.csv"
|
| 258 |
+
# - split: val
|
| 259 |
+
# path: "Classification/CARVEME/50/MC-I/X_val_MC-I-50.csv"
|
| 260 |
+
# - split: test
|
| 261 |
+
# path: "Classification/CARVEME/50/MC-I/X_test_MC-I-50.csv"
|
| 262 |
+
# - config_name: Classification_CARVEME_MC-II-50
|
| 263 |
+
# data_files:
|
| 264 |
+
# - split: train
|
| 265 |
+
# path: "Classification/CARVEME/50/MC-II/X_train_MC-II-50.csv"
|
| 266 |
+
# - split: val
|
| 267 |
+
# path: "Classification/CARVEME/50/MC-II/X_val_MC-II-50.csv"
|
| 268 |
+
# - split: test
|
| 269 |
+
# path: "Classification/CARVEME/50/MC-II/X_test_MC-II-50.csv"
|
| 270 |
+
# - config_name: Classification_CARVEME_MC-III-50
|
| 271 |
+
# data_files:
|
| 272 |
+
# - split: train
|
| 273 |
+
# path: "Classification/CARVEME/50/MC-III/X_train_MC-III-50.csv"
|
| 274 |
+
# - split: val
|
| 275 |
+
# path: "Classification/CARVEME/50/MC-III/X_val_MC-III-50.csv"
|
| 276 |
+
# - split: test
|
| 277 |
+
# path: "Classification/CARVEME/50/MC-III/X_test_MC-III-50.csv"
|
| 278 |
+
# - config_name: Regression_AGORA_GR-I-100
|
| 279 |
+
# data_files:
|
| 280 |
+
# - split: train
|
| 281 |
+
# path: "Regression/AGORA/100/GR-I/X_train_GR-I.csv"
|
| 282 |
+
# - split: val
|
| 283 |
+
# path: "Regression/AGORA/100/GR-I/X_val_GR-I.csv"
|
| 284 |
+
# - split: test
|
| 285 |
+
# path: "Regression/AGORA/100/GR-I/X_test_GR-I.csv"
|
| 286 |
+
# - config_name: Regression_AGORA_GR-II-100
|
| 287 |
+
# data_files:
|
| 288 |
+
# - split: train
|
| 289 |
+
# path: "Regression/AGORA/100/GR-II/X_train_GR-II.csv"
|
| 290 |
+
# - split: val
|
| 291 |
+
# path: "Regression/AGORA/100/GR-II/X_val_GR-II.csv"
|
| 292 |
+
# - split: test
|
| 293 |
+
# path: "Regression/AGORA/100/GR-II/X_test_GR-II.csv"
|
| 294 |
+
# - config_name: Regression_AGORA_GR-III-100
|
| 295 |
+
# data_files:
|
| 296 |
+
# - split: train
|
| 297 |
+
# path: "Regression/AGORA/100/GR-III/X_train_GR-III.csv"
|
| 298 |
+
# - split: val
|
| 299 |
+
# path: "Regression/AGORA/100/GR-III/X_val_GR-III.csv"
|
| 300 |
+
# - split: test
|
| 301 |
+
# path: "Regression/AGORA/100/GR-III/X_test_GR-III.csv"
|
| 302 |
+
# - config_name: Regression_AGORA_GR-I-50
|
| 303 |
+
# data_files:
|
| 304 |
+
# - split: train
|
| 305 |
+
# path: "Regression/AGORA/50/GR-I/X_train_GR-I.csv"
|
| 306 |
+
# - split: val
|
| 307 |
+
# path: "Regression/AGORA/50/GR-I/X_val_GR-I.csv"
|
| 308 |
+
# - split: test
|
| 309 |
+
# path: "Regression/AGORA/50/GR-I/X_test_GR-I.csv"
|
| 310 |
+
# - config_name: Regression_AGORA_GR-II-50
|
| 311 |
+
# data_files:
|
| 312 |
+
# - split: train
|
| 313 |
+
# path: "Regression/AGORA/50/GR-II/X_train_GR-II.csv"
|
| 314 |
+
# - split: val
|
| 315 |
+
# path: "Regression/AGORA/50/GR-II/X_val_GR-II.csv"
|
| 316 |
+
# - split: test
|
| 317 |
+
# path: "Regression/AGORA/50/GR-II/X_test_GR-II.csv"
|
| 318 |
+
# - config_name: Regression_AGORA_GR-III-50
|
| 319 |
+
# data_files:
|
| 320 |
+
# - split: train
|
| 321 |
+
# path: "Regression/AGORA/50/GR-III/X_train_GR-III.csv"
|
| 322 |
+
# - split: val
|
| 323 |
+
# path: "Regression/AGORA/50/GR-III/X_val_GR-III.csv"
|
| 324 |
+
# - split: test
|
| 325 |
+
# path: "Regression/AGORA/50/GR-III/X_test_GR-III.csv"
|
| 326 |
+
# - config_name: Regression_CARVEME_GR-I-100
|
| 327 |
+
# data_files:
|
| 328 |
+
# - split: train
|
| 329 |
+
# path: "Regression/CARVEME/100/GR-I/X_train_GR-I.csv"
|
| 330 |
+
# - split: val
|
| 331 |
+
# path: "Regression/CARVEME/100/GR-I/X_val_GR-I.csv"
|
| 332 |
+
# - split: test
|
| 333 |
+
# path: "Regression/CARVEME/100/GR-I/X_test_GR-I.csv"
|
| 334 |
+
# - config_name: Regression_CARVEME_GR-II-100
|
| 335 |
+
# data_files:
|
| 336 |
+
# - split: train
|
| 337 |
+
# path: "Regression/CARVEME/100/GR-II/X_train_GR-II.csv"
|
| 338 |
+
# - split: val
|
| 339 |
+
# path: "Regression/CARVEME/100/GR-II/X_val_GR-II.csv"
|
| 340 |
+
# - split: test
|
| 341 |
+
# path: "Regression/CARVEME/100/GR-II/X_test_GR-II.csv"
|
| 342 |
+
# - config_name: Regression_CARVEME_GR-III-100
|
| 343 |
+
# data_files:
|
| 344 |
+
# - split: train
|
| 345 |
+
# path: "Regression/CARVEME/100/GR-III/X_train_GR-III.csv"
|
| 346 |
+
# - split: val
|
| 347 |
+
# path: "Regression/CARVEME/100/GR-III/X_val_GR-III.csv"
|
| 348 |
+
# - split: test
|
| 349 |
+
# path: "Regression/CARVEME/100/GR-III/X_test_GR-III.csv"
|
| 350 |
+
# - config_name: Regression_CARVEME_GR-I-50
|
| 351 |
+
# data_files:
|
| 352 |
+
# - split: train
|
| 353 |
+
# path: "Regression/CARVEME/50/GR-I/X_train_GR-I.csv"
|
| 354 |
+
# - split: val
|
| 355 |
+
# path: "Regression/CARVEME/50/GR-I/X_val_GR-I.csv"
|
| 356 |
+
# - split: test
|
| 357 |
+
# path: "Regression/CARVEME/50/GR-I/X_test_GR-I.csv"
|
| 358 |
# - config_name: Regression_CARVEME_GR-II-50
|
| 359 |
# data_files:
|
| 360 |
# - split: train
|
|
|
|
| 363 |
# path: "Regression/CARVEME/50/GR-II/X_val_GR-II.csv"
|
| 364 |
# - split: test
|
| 365 |
# path: "Regression/CARVEME/50/GR-II/X_test_GR-II.csv"
|
| 366 |
+
# - config_name: Regression_CARVEME_GR-III-50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 367 |
# data_files:
|
| 368 |
# - split: train
|
| 369 |
+
# path: "Regression/CARVEME/50/GR-III/X_train_GR-III.csv"
|
| 370 |
# - split: val
|
| 371 |
+
# path: "Regression/CARVEME/50/GR-III/X_val_GR-III.csv"
|
| 372 |
# - split: test
|
| 373 |
+
# path: "Regression/CARVEME/50/GR-III/X_test_GR-III.csv"
|
| 374 |
+
# - config_name: Transfer_AGORA_TL-I-100
|
| 375 |
+
# data_files:
|
| 376 |
+
# - split: train
|
| 377 |
+
# path: "Transfer Learning/AGORA/100/TL-I/X_train_TL-I.csv"
|
| 378 |
+
# - split: val
|
| 379 |
+
# path: "Transfer Learning/AGORA/100/TL-I/X_val_TL-I.csv"
|
| 380 |
+
# - split: test
|
| 381 |
+
# path: "Transfer Learning/AGORA/100/TL-I/X_test_TL-I.csv"
|
| 382 |
+
# # - config_name: Transfer_AGORA_TL-II-100
|
| 383 |
+
# # data_files:
|
| 384 |
+
# # - split: train
|
| 385 |
+
# # path: "Transfer Learning/AGORA/100/TL-II/X_train_TL-II.csv"
|
| 386 |
+
# # - split: val
|
| 387 |
+
# # path: "Transfer Learning/AGORA/100/TL-II/X_val_TL-II.csv"
|
| 388 |
+
# # - split: test
|
| 389 |
+
# # path: "Transfer Learning/AGORA/100/TL-II/X_test_TL-II.csv"
|
| 390 |
+
# - config_name: Transfer_AGORA_TL-I-50
|
| 391 |
+
# data_files:
|
| 392 |
+
# - split: train
|
| 393 |
+
# path: "Transfer Learning/AGORA/50/TL-I/X_train_TL-I.csv"
|
| 394 |
+
# - split: val
|
| 395 |
+
# path: "Transfer Learning/AGORA/50/TL-I/X_val_TL-I.csv"
|
| 396 |
+
# - split: test
|
| 397 |
+
# path: "Transfer Learning/AGORA/50/TL-I/X_test_TL-I.csv"
|
| 398 |
+
# - config_name: Transfer_AGORA_TL-II-50
|
| 399 |
+
# data_files:
|
| 400 |
+
# - split: train
|
| 401 |
+
# path: "Transfer Learning/AGORA/50/TL-II/X_train_TL-II.csv"
|
| 402 |
+
# - split: val
|
| 403 |
+
# path: "Transfer Learning/AGORA/50/TL-II/X_val_TL-II.csv"
|
| 404 |
+
# - split: test
|
| 405 |
+
# path: "Transfer Learning/AGORA/50/TL-II/X_test_TL-II.csv"
|
| 406 |
+
# - config_name: Transfer_CARVEME_TL-I-100
|
| 407 |
+
# data_files:
|
| 408 |
+
# - split: train
|
| 409 |
+
# path: "Transfer Learning/CARVEME/100/TL-I/X_train_TL-I.csv"
|
| 410 |
+
# - split: val
|
| 411 |
+
# path: "Transfer Learning/CARVEME/100/TL-I/X_val_TL-I.csv"
|
| 412 |
+
# - split: test
|
| 413 |
+
# path: "Transfer Learning/CARVEME/100/TL-I/X_test_TL-I.csv"
|
| 414 |
+
# - config_name: Transfer_CARVEME_TL-II-100
|
| 415 |
+
# data_files:
|
| 416 |
+
# - split: train
|
| 417 |
+
# path: "Transfer Learning/CARVEME/100/TL-II/X_train_TL-II.csv"
|
| 418 |
+
# - split: val
|
| 419 |
+
# path: "Transfer Learning/CARVEME/100/TL-II/X_val_TL-II.csv"
|
| 420 |
+
# - split: test
|
| 421 |
+
# path: "Transfer Learning/CARVEME/100/TL-II/X_test_TL-II.csv"
|
| 422 |
+
# - config_name: Transfer_CARVEME_TL-I-50
|
| 423 |
+
# data_files:
|
| 424 |
+
# - split: train
|
| 425 |
+
# path: "Transfer Learning/CARVEME/50/TL-I/X_train_TL-I.csv"
|
| 426 |
+
# - split: val
|
| 427 |
+
# path: "Transfer Learning/CARVEME/50/TL-I/X_val_TL-I.csv"
|
| 428 |
+
# - split: test
|
| 429 |
+
# path: "Transfer Learning/CARVEME/50/TL-I/X_test_TL-I.csv"
|
| 430 |
+
# - config_name: Transfer_CARVEME_TL-II-50
|
| 431 |
+
# data_files:
|
| 432 |
+
# - split: train
|
| 433 |
+
# path: "Transfer Learning/CARVEME/50/TL-II/X_train_TL-II.csv"
|
| 434 |
+
# - split: val
|
| 435 |
+
# path: "Transfer Learning/CARVEME/50/TL-II/X_val_TL-II.csv"
|
| 436 |
+
# - split: test
|
| 437 |
+
# path: "Transfer Learning/CARVEME/50/TL-II/X_test_TL-II.csv"
|
| 438 |
+
# - config_name: Generative_AGORA_100
|
| 439 |
+
# data_files:
|
| 440 |
+
# - split: train
|
| 441 |
+
# path: "Generative/AGORA/100/GEN/df_train_AG-100.csv"
|
| 442 |
+
# - split: test
|
| 443 |
+
# path: "Generative/AGORA/100/GEN/df_test_AG-100.csv"
|
| 444 |
+
# - config_name: Generative_AGORA_50
|
| 445 |
+
# data_files:
|
| 446 |
+
# - split: train
|
| 447 |
+
# path: "Generative/AGORA/50/GEN/df_train_AG-50.csv"
|
| 448 |
+
# - split: test
|
| 449 |
+
# path: "Generative/AGORA/50/GEN/df_test_AG-50.csv"
|
| 450 |
+
# - config_name: Generative_CARVEME_100
|
| 451 |
+
# data_files:
|
| 452 |
+
# - split: train
|
| 453 |
+
# path: "Generative/CARVEME/100/GEN/df_train_CM-100.csv"
|
| 454 |
+
# - split: test
|
| 455 |
+
# path: "Generative/CARVEME/100/GEN/df_test_CM-100.csv"
|
| 456 |
+
# - config_name: Generative_CARVEME_50
|
| 457 |
+
# data_files:
|
| 458 |
+
# - split: train
|
| 459 |
+
# path: "Generative/CARVEME/50/GEN/df_train_CM-50.csv"
|
| 460 |
+
# - split: test
|
| 461 |
+
# path: "Generative/CARVEME/50/GEN/df_test_CM-50.csv"
|
| 462 |
---
|
| 463 |
|
| 464 |
Welcome to the Friend or Foe Collection!
|