Searching for Legal Clauses by Analogy. Few-shot Contract Discovery Shared Task
The aim of this task is to provide a substrings of requested document representing clauses analogous (semantically and formally equivalent) to provided examples from other documents. [ver. 1.0.0]
This is a long list of all submissions, if you want to see only the best, click leaderboard.
| # | submitter | when | ver. | description | dev-0 Soft-F1.0 | test-A Soft-F1.0 | |
|---|---|---|---|---|---|---|---|
| 411 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47070 | N/A | |
| 410 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47070 | N/A | |
| 409 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47088 | N/A | |
| 408 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47096 | N/A | |
| 407 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47144 | N/A | |
| 406 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47123 | N/A | |
| 405 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47122 | N/A | |
| 404 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47093 | N/A | |
| 403 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47072 | N/A | |
| 402 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.47088 | N/A | |
| 401 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.46974 | N/A | |
| 400 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.46976 | N/A | |
| 399 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=tSVD vectorizer=lm | 0.46360 | N/A | |
| 398 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48553 | N/A | |
| 397 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48588 | N/A | |
| 396 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48561 | N/A | |
| 395 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48581 | N/A | |
| 394 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48530 | N/A | |
| 393 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48494 | N/A | |
| 392 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48506 | N/A | |
| 391 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48523 | N/A | |
| 390 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48504 | N/A | |
| 389 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48568 | N/A | |
| 388 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48364 | N/A | |
| 387 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.48201 | N/A | |
| 386 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=PCA vectorizer=lm | 0.47511 | N/A | |
| 385 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48584 | N/A | |
| 384 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48583 | N/A | |
| 383 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48578 | N/A | |
| 382 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48542 | N/A | |
| 381 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48533 | N/A | |
| 380 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48515 | N/A | |
| 379 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48479 | N/A | |
| 378 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48469 | N/A | |
| 377 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48547 | N/A | |
| 376 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48510 | N/A | |
| 375 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48380 | N/A | |
| 374 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.48264 | N/A | |
| 373 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=iPCA vectorizer=lm | 0.47755 | N/A | |
| 372 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.50401 | N/A | |
| 371 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.49108 | N/A | |
| 370 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47255 | N/A | |
| 369 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47236 | N/A | |
| 368 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47274 | N/A | |
| 367 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47278 | N/A | |
| 366 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47279 | N/A | |
| 365 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47298 | N/A | |
| 364 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47280 | N/A | |
| 363 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47234 | N/A | |
| 362 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47219 | N/A | |
| 361 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47266 | N/A | |
| 360 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47218 | N/A | |
| 359 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.47004 | N/A | |
| 358 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=tSVD vectorizer=lm | 0.46434 | N/A | |
| 357 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48699 | N/A | |
| 356 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48716 | N/A | |
| 355 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48707 | N/A | |
| 354 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48680 | N/A | |
| 353 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48748 | N/A | |
| 352 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48665 | N/A | |
| 351 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48643 | N/A | |
| 350 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48676 | N/A | |
| 349 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48624 | N/A | |
| 348 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48599 | N/A | |
| 347 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48458 | N/A | |
| 346 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.48267 | N/A | |
| 345 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=PCA vectorizer=lm | 0.47671 | N/A | |
| 344 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48732 | N/A | |
| 343 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48765 | N/A | |
| 342 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48711 | N/A | |
| 341 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48697 | N/A | |
| 340 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48694 | N/A | |
| 339 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48580 | N/A | |
| 338 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48576 | N/A | |
| 337 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48565 | N/A | |
| 336 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48581 | N/A | |
| 335 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48555 | N/A | |
| 334 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48442 | N/A | |
| 333 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.48217 | N/A | |
| 332 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=iPCA vectorizer=lm | 0.47638 | N/A | |
| 331 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.52248 | N/A | |
| 330 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.50304 | N/A | |
| 329 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.49026 | N/A | |
| 328 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47352 | N/A | |
| 327 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47353 | N/A | |
| 326 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47348 | N/A | |
| 325 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47379 | N/A | |
| 324 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47380 | N/A | |
| 323 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47396 | N/A | |
| 322 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47327 | N/A | |
| 321 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47292 | N/A | |
| 320 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47247 | N/A | |
| 319 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47232 | N/A | |
| 318 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47232 | N/A | |
| 317 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.47100 | N/A | |
| 316 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=tSVD vectorizer=lm | 0.46475 | N/A | |
| 315 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48893 | N/A | |
| 314 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48862 | N/A | |
| 313 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48905 | N/A | |
| 312 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48864 | N/A | |
| 311 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48842 | N/A | |
| 310 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48768 | N/A | |
| 309 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48734 | N/A | |
| 308 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48715 | N/A | |
| 307 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48669 | N/A | |
| 306 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48653 | N/A | |
| 305 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48510 | N/A | |
| 304 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.48367 | N/A | |
| 303 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=PCA vectorizer=lm | 0.47639 | N/A | |
| 302 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48907 | N/A | |
| 301 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48889 | N/A | |
| 300 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48886 | N/A | |
| 299 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48853 | N/A | |
| 298 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48805 | N/A | |
| 297 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48737 | N/A | |
| 296 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48690 | N/A | |
| 295 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48653 | N/A | |
| 294 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48575 | N/A | |
| 293 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48633 | N/A | |
| 292 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48520 | N/A | |
| 291 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.48394 | N/A | |
| 290 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=iPCA vectorizer=lm | 0.47555 | N/A | |
| 289 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51852 | N/A | |
| 288 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.50218 | N/A | |
| 287 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.49047 | N/A | |
| 286 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47416 | N/A | |
| 285 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47360 | N/A | |
| 284 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47452 | N/A | |
| 283 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47482 | N/A | |
| 282 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47454 | N/A | |
| 281 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47477 | N/A | |
| 280 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47464 | N/A | |
| 279 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47392 | N/A | |
| 278 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47477 | N/A | |
| 277 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47386 | N/A | |
| 276 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47384 | N/A | |
| 275 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.47443 | N/A | |
| 274 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=tSVD vectorizer=lm | 0.46832 | N/A | |
| 273 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48720 | N/A | |
| 272 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48714 | N/A | |
| 271 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48620 | N/A | |
| 270 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48623 | N/A | |
| 269 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48597 | N/A | |
| 268 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48567 | N/A | |
| 267 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48533 | N/A | |
| 266 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48562 | N/A | |
| 265 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48565 | N/A | |
| 264 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48427 | N/A | |
| 263 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48756 | N/A | |
| 262 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48734 | N/A | |
| 261 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48652 | N/A | |
| 260 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48526 | N/A | |
| 259 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48502 | N/A | |
| 258 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48551 | N/A | |
| 257 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48553 | N/A | |
| 256 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48548 | N/A | |
| 255 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48489 | N/A | |
| 254 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48463 | N/A | |
| 253 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48424 | N/A | |
| 252 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.48218 | N/A | |
| 251 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=iPCA vectorizer=lm | 0.47706 | N/A | |
| 250 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.50411 | N/A | |
| 249 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=75 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.45908 | N/A | |
| 248 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=50 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.44810 | N/A | |
| 247 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=25 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.40104 | N/A | |
| 246 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=225 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47094 | N/A | |
| 245 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=175 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47017 | N/A | |
| 244 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=125 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.46816 | N/A | |
| 243 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=75 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.46822 | N/A | |
| 242 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=500 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48291 | N/A | |
| 241 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=50 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.45463 | N/A | |
| 240 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=25 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.40758 | N/A | |
| 239 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=225 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48085 | N/A | |
| 238 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=175 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.47944 | N/A | |
| 237 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=125 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.47586 | N/A | |
| 236 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=75 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.47665 | N/A | |
| 235 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=500 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49709 | N/A | |
| 234 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=50 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.46521 | N/A | |
| 233 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=25 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.41381 | N/A | |
| 232 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=225 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49684 | N/A | |
| 231 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=175 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49346 | N/A | |
| 230 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=125 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.48604 | N/A | |
| 229 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=75 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.43072 | N/A | |
| 228 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=500 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44792 | N/A | |
| 227 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=50 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.41965 | N/A | |
| 226 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=25 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.38151 | N/A | |
| 225 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=225 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44265 | N/A | |
| 224 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=175 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44246 | N/A | |
| 223 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=125 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.43834 | N/A | |
| 222 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=75 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.43554 | N/A | |
| 221 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=500 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.45086 | N/A | |
| 220 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=50 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.42412 | N/A | |
| 219 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=25 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.38469 | N/A | |
| 218 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=225 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44830 | N/A | |
| 217 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=175 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44656 | N/A | |
| 216 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=125 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44252 | N/A | |
| 215 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=75 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.43397 | N/A | |
| 214 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=500 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.45061 | N/A | |
| 213 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=50 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.42205 | N/A | |
| 212 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=25 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.38479 | N/A | |
| 211 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=225 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44735 | N/A | |
| 210 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=175 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44615 | N/A | |
| 209 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=125 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.43964 | N/A | |
| 208 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=75 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.44400 | N/A | |
| 207 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=500 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46091 | N/A | |
| 206 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=50 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.43340 | N/A | |
| 205 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=25 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.39251 | N/A | |
| 204 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=225 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45990 | N/A | |
| 203 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=175 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45758 | N/A | |
| 202 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=125 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45450 | N/A | |
| 201 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 distance=cosine-similarity model=transformer_edgar_512_2048_512_5140 seed_agg=mean seed_agg_type=post vectorizer=lm | 0.44778 | N/A | |
| 200 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48366 | 0.00000 | |
| 199 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.48298 | 0.00000 | |
| 198 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=PCA vectorizer=lm | 0.47898 | 0.00000 | |
| 149 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.43785 | 0.42693 | |
| 148 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.43749 | 0.42785 | |
| 147 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.43856 | 0.42924 | |
| 145 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44086 | 0.43093 | |
| 143 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44210 | 0.43257 | |
| 142 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44401 | 0.43353 | |
| 141 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44519 | 0.43376 | |
| 140 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44388 | 0.43384 | |
| 139 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44572 | 0.43401 | |
| 138 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44571 | 0.43402 | |
| 137 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44622 | 0.43463 | |
| 136 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44741 | 0.43467 | |
| 135 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44666 | 0.43472 | |
| 134 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44764 | 0.43472 | |
| 133 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44846 | 0.43480 | |
| 132 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44780 | 0.43488 | |
| 131 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44598 | 0.43500 | |
| 130 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44790 | 0.43520 | |
| 129 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44897 | 0.43524 | |
| 128 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44744 | 0.43526 | |
| 127 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | 0.44732 | 0.43529 | |
| 126 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44887 | 0.43530 | |
| 125 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44894 | 0.43544 | |
| 124 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44832 | 0.43551 | |
| 123 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44901 | 0.43553 | |
| 122 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=tSVD vectorizer=lm | N/A | 0.43561 | |
| 121 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44952 | 0.43565 | |
| 120 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44956 | 0.43567 | |
| 119 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44909 | 0.43572 | |
| 118 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44992 | 0.43589 | |
| 117 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.45023 | 0.43606 | |
| 116 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44982 | 0.43607 | |
| 115 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.44998 | 0.43616 | |
| 114 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | 0.45070 | 0.43654 | |
| 113 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.45071 | 0.43657 | |
| 112 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.44967 | 0.43662 | |
| 111 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=iPCA vectorizer=lm | N/A | 0.43669 | |
| 110 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | 0.45013 | 0.43674 | |
| 109 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=PCA vectorizer=lm | N/A | 0.43700 | |
| 108 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45115 | 0.43704 | |
| 107 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45851 | 0.44068 | |
| 106 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45999 | 0.44119 | |
| 105 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45964 | 0.44145 | |
| 104 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46576 | 0.44206 | |
| 103 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46320 | 0.44215 | |
| 102 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46259 | 0.44222 | |
| 101 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46400 | 0.44285 | |
| 100 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46538 | 0.44306 | |
| 99 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.45948 | 0.44334 | |
| 98 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46421 | 0.44492 | |
| 97 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | N/A | 0.44565 | |
| 96 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_1 trans=fICA vectorizer=lm | 0.46088 | 0.44591 | |
| 95 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.46523 | 0.45983 | |
| 94 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46287 | |
| 93 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47022 | 0.46377 | |
| 92 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47062 | 0.46385 | |
| 91 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47166 | 0.46424 | |
| 90 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.47159 | 0.46440 | |
| 89 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | N/A | 0.46447 | |
| 88 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47160 | 0.46465 | |
| 87 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | N/A | 0.46471 | |
| 86 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47165 | 0.46472 | |
| 85 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47117 | 0.46475 | |
| 84 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47127 | 0.46481 | |
| 83 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | N/A | 0.46503 | |
| 82 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | 0.47108 | 0.46511 | |
| 81 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=tSVD vectorizer=lm | N/A | 0.46534 | |
| 80 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.47863 | 0.46859 | |
| 79 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46895 | |
| 78 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48021 | 0.46913 | |
| 77 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46932 | |
| 76 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46949 | |
| 75 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48252 | 0.46965 | |
| 74 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46966 | |
| 73 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46971 | |
| 72 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46975 | |
| 71 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46977 | |
| 70 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48265 | 0.46978 | |
| 69 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48151 | 0.46995 | |
| 68 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | N/A | 0.46995 | |
| 67 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.46996 | |
| 66 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48327 | 0.47004 | |
| 65 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48311 | 0.47011 | |
| 64 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.47019 | |
| 63 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.47929 | 0.47029 | |
| 62 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.47029 | |
| 61 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.47031 | |
| 60 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48319 | 0.47041 | |
| 59 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | N/A | 0.47056 | |
| 58 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=iPCA vectorizer=lm | N/A | 0.47056 | |
| 57 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48318 | 0.47056 | |
| 56 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=PCA vectorizer=lm | 0.48284 | 0.47073 | |
| 55 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49651 | 0.47982 | |
| 54 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49999 | 0.48203 | |
| 53 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49837 | 0.48271 | |
| 52 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49835 | 0.48282 | |
| 51 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49864 | 0.48291 | |
| 50 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=100 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.48903 | 0.48440 | |
| 49 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.50309 | 0.48450 | |
| 48 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.50214 | 0.48466 | |
| 47 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.50191 | 0.48477 | |
| 46 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49362 | 0.48526 | |
| 45 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.50069 | 0.48590 | |
| 44 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.49964 | 0.48607 | |
| 43 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_2 trans=fICA vectorizer=lm | 0.50134 | 0.48635 | |
| 42 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.50892 | 0.49822 | |
| 41 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.50923 | 0.49890 | |
| 40 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.51313 | 0.49893 | |
| 39 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.50981 | 0.49915 | |
| 38 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.51021 | 0.49944 | |
| 37 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=150 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.50093 | 0.49950 | |
| 36 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | N/A | 0.50027 | |
| 35 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.51144 | 0.50079 | |
| 34 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.51456 | 0.50151 | |
| 33 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51017 | 0.50198 | |
| 32 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.51535 | 0.50295 | |
| 31 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_3 trans=fICA vectorizer=lm | 0.51338 | 0.50329 | |
| 30 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51779 | 0.50483 | |
| 29 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.51300 | 0.50635 | |
| 28 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=200 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.51199 | 0.50658 | |
| 27 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51782 | 0.50711 | |
| 26 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51502 | 0.50811 | |
| 25 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.51874 | 0.50857 | |
| 24 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51771 | 0.50861 | |
| 23 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.52026 | 0.50869 | |
| 22 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51772 | 0.50875 | |
| 21 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.51927 | 0.50953 | |
| 20 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.51942 | 0.51031 | |
| 19 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.52079 | 0.51046 | |
| 18 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=275 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.51946 | 0.51058 | |
| 17 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_4 trans=fICA vectorizer=lm | 0.52111 | 0.51152 | |
| 16 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.51515 | 0.51164 | |
| 15 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.52003 | 0.51169 | |
| 14 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.51884 | 0.51191 | |
| 13 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=300 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.51992 | 0.51210 | |
| 12 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.52076 | 0.51217 | |
| 11 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.52092 | 0.51255 | |
| 10 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | N/A | 0.51263 | |
| 9 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=325 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.52017 | 0.51265 | |
| 8 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=375 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.52084 | 0.51268 | |
| 7 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=400 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.52230 | 0.51294 | |
| 6 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_5 trans=fICA vectorizer=lm | 0.52219 | 0.51299 | |
| 5 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=425 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.52185 | 0.51309 | |
| 4 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=475 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.52220 | 0.51397 | |
| 3 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=450 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.52304 | 0.51409 | |
| 2 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=350 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | 0.52094 | 0.51409 | |
| 1 | p/tlen | 2019-11-11 08:29 | 1.0.0 | Add process.py chooser=Kbest-1 dim=250 distance=cosine-similarity model=transformer_edgar_5140 seed_agg=mean seed_agg_type=post segm=ngram1_6 trans=fICA vectorizer=lm | N/A | 0.51503 | |
| 197 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=roberta-large-mnli segm=sentence vectorizer=hugging | 0.04368 | 0.05079 | |
| 196 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=gpt2-medium segm=sentence vectorizer=hugging | 0.10427 | 0.11191 | |
| 195 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=bert-large-uncased-whole-word-masking-finetuned-squad segm=sentence vectorizer=hugging | 0.16730 | 0.14378 | |
| 193 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=bert-large-uncased segm=sentence vectorizer=hugging | 0.20710 | 0.18295 | |
| 192 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=bert-large-cased segm=sentence vectorizer=hugging | 0.21066 | 0.20522 | |
| 191 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=distilgpt2 segm=sentence vectorizer=hugging | 0.21616 | 0.21090 | |
| 174 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=roberta-large segm=sentence vectorizer=hugging | 0.31276 | 0.30945 | |
| 172 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=bert-large-cased-whole-word-masking segm=sentence vectorizer=hugging | 0.31221 | 0.31181 | |
| 166 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=bert-large-uncased-whole-word-masking segm=sentence vectorizer=hugging | 0.33703 | 0.34261 | |
| 157 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=openai-gpt segm=sentence vectorizer=hugging | 0.37478 | 0.36546 | |
| 155 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=xlm-mlm-en-2048 segm=sentence vectorizer=hugging | 0.38203 | 0.37489 | |
| 151 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=gpt2-large segm=sentence vectorizer=hugging | 0.41839 | 0.40711 | |
| 146 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=openai-gpt-edgar-35-checkpoint-4000 segm=sentence vectorizer=hugging | 0.44469 | 0.43041 | |
| 144 | p/tlen | 2019-11-09 22:03 | 1.0.0 | Part og hugging models evaluated. model=openai-gpt-edgar-25-checkpoint-4000 segm=sentence vectorizer=hugging | 0.44259 | 0.43102 | |
| 183 | p/tlen | 2019-11-09 22:00 | 1.0.0 | USE model=universal-sentence-encoder-large3 segm=sentence vectorizer=USE | 0.27197 | 0.25547 | |
| 180 | p/tlen | 2019-11-09 22:00 | 1.0.0 | USE model=universal-sentence-encoder-multilingual-qa1 segm=sentence vectorizer=USE | 0.30291 | 0.28447 | |
| 168 | p/tlen | 2019-11-09 22:00 | 1.0.0 | USE model=universal-sentence-encoder-multilingual-large1 segm=sentence vectorizer=USE | 0.35566 | 0.32800 | |
| 153 | p/tlen | 2019-11-09 22:00 | 1.0.0 | USE model=universal-sentence-encoder-multilingual1 segm=sentence vectorizer=USE | 0.38809 | 0.37520 | |
| 194 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-wikipedia-sections-mean-tokens seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.18379 | 0.17820 | |
| 190 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-cls-token seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.25245 | 0.23645 | |
| 189 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-cls-token seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.24320 | 0.23837 | |
| 188 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-max-tokens seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.26575 | 0.23863 | |
| 187 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-max-tokens seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.24740 | 0.24532 | |
| 186 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-mean-tokens seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.25880 | 0.24702 | |
| 185 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-wikipedia-sections-mean-tokens seed_agg=mean seed_agg_type=post | 0.26412 | 0.24783 | |
| 184 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-mean-tokens seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.26746 | 0.24869 | |
| 182 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-stsb-mean-tokens seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.26955 | 0.26415 | |
| 181 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-stsb-mean-tokens seed_agg=mean seed_agg_type=post seed_segm=sentence | 0.30414 | 0.27325 | |
| 179 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-cls-token seed_agg=mean seed_agg_type=post | 0.30920 | 0.29310 | |
| 178 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-cls-token seed_agg=mean seed_agg_type=post | 0.30278 | 0.29366 | |
| 177 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-max-tokens seed_agg=mean seed_agg_type=post | 0.30165 | 0.29568 | |
| 176 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-max-tokens seed_agg=mean seed_agg_type=post | 0.31252 | 0.29688 | |
| 175 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-mean-tokens seed_agg=mean seed_agg_type=post | 0.31277 | 0.29843 | |
| 173 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-large-nli-stsb-mean-tokens seed_agg=mean seed_agg_type=post | 0.31910 | 0.31047 | |
| 171 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-mean-tokens seed_agg=mean seed_agg_type=post | 0.32887 | 0.31309 | |
| 170 | p/tlen | 2019-11-09 21:57 | 1.0.0 | Add chooser=Kbest-1 distance=cosine-similarity method=sentence-transformers-package model=bert-base-nli-stsb-mean-tokens seed_agg=mean seed_agg_type=post | 0.34472 | 0.31566 | |
| 167 | p/tlen | 2019-11-09 21:54 | 1.0.0 | Rename method=SIF-custom projector=None rmpc=0 segm=sentence vectorizer=glove | 0.34336 | 0.32961 | |
| 154 | p/tlen | 2019-11-09 21:54 | 1.0.0 | Rename method=SIF-custom projector=tSVD rmpc=1 segm=sentence vectorizer=glove | 0.39157 | 0.37492 | |
| 150 | p/tlen | 2019-11-09 21:54 | 1.0.0 | Rename method=SIF-custom projector=tSVD rmpc=1 segm=sentence vectorizer=glove-edgar | 0.41916 | 0.41084 | |
| 165 | p/tlen | 2019-11-09 21:32 | 1.0.0 | Rename chr=Kbest-1 distance=wmd model=lmmodel segm=sentence | 0.37088 | 0.34501 | |
| 164 | p/tlen | 2019-11-09 21:32 | 1.0.0 | Rename chr=Kbest-1 distance=wmd model=glove6B300d segm=sentence | 0.37319 | 0.34650 | |
| 162 | p/tlen | 2019-11-09 21:32 | 1.0.0 | Rename chr=Kbest-1 distance=wmd model=glove_edgar_300000_300 segm=sentence | 0.37255 | 0.34878 | |
| 161 | p/tlen | 2019-11-09 21:32 | 1.0.0 | Rename chr=Kbest-1 distance=wmd model=google-news segm=sentence | 0.37832 | 0.35606 | |
| 159 | p/tlen | 2019-11-09 21:31 | 1.0.0 | Edgar GloVe segm=sentence vectorizer=glove-edgar | 0.36871 | 0.36298 | |
| 169 | p/tlen | 2019-11-09 21:02 | 1.0.0 | TFIDF binary=False ngram_range=1_1 segm=sentence vectorizer=tf-idf | 0.33892 | 0.32311 | |
| 163 | p/tlen | 2019-11-09 21:02 | 1.0.0 | TFIDF binary=False ngram_range=1_2 segm=sentence vectorizer=tf-idf | 0.36351 | 0.34699 | |
| 160 | p/tlen | 2019-11-09 21:02 | 1.0.0 | TFIDF binary=False ngram_range=1_3 segm=sentence vectorizer=tf-idf | 0.37093 | 0.36137 | |
| 158 | p/tlen | 2019-11-09 21:02 | 1.0.0 | TFIDF binary=True ngram_range=1_1 segm=sentence vectorizer=tf-idf | 0.38669 | 0.36316 | |
| 156 | p/tlen | 2019-11-09 21:02 | 1.0.0 | TFIDF binary=True ngram_range=1_3 segm=sentence vectorizer=tf-idf | 0.39898 | 0.36888 | |
| 152 | p/tlen | 2019-11-09 21:02 | 1.0.0 | TFIDF binary=True ngram_range=1_2 segm=sentence vectorizer=tf-idf | 0.40259 | 0.37639 |