averaging - Swedish translation – Linguee
establecer acuerdos - Traducción al sueco – Linguee
KTXMLC constructs multi-way multiple trees using a parallel clustering algorithm, which leads to fast computational cost. KTXMLC outperforms over the existing tree based classifier in terms of ranking based measures on six datasets named Delicious, Mediamill, Eurlex-4K, Wiki10-31K, AmazonCat-13K, Delicious-200K. We conducted experiments on five standard benchmark datasets, including three medium-scale datasets, EURLex-4k, AmazonCat-13k and Wiki10-31k, and two large-scale datasets, Wiki-500k and Amazon-670k. Table 1 shows the statistics of these datasets.
We will use Eurlex-4K as an example. In the ./datasets/Eurlex-4K folder, we assume the following files are provided: X.trn.npz: the instance TF-IDF feature matrix for the train set. The data type is scipy.sparse.csr_matrix of size (N_trn, D_tfidf), where N_trn is the number of train instances and D_tfidf is the number of features. EURLex-4K 15,539 3,809 3,993 25.73 5.31 Wiki10-31k 14,146 6,616 30,938 8.52 18.64 AmazonCat-13K 1,186,239 306,782 13,330 448.57 5.04 conducted on the impact of the operations.
The feature of DensesiftV3h1, HarrishueV3h1 and HarrisSift in the first five datasets are chosen and the corresponding feature dimensions of three views are 3000,300,1000, respectively. width=0.48 Dataset L s e q η x η h η a N b N e EURLex-4k 512 5e-5 1e-4 2e-3 12 8 AmazonCat-13k 256 5e-5 1e-4 2e-3 48 8 Wiki10-31k 512 1e-5 1e-4 1e-3 12 6 Wiki-500k 128 5e-5 1e-4 2e-3 96 15 Amazon-670k 128 5e-5 1e-4 2e-3 28 20.
för framtiden - Deutsch-Übersetzung – Linguee Wörterbuch
EURLex-4K. Method P@1 P@3 P@5 N@1 N@3 N@5 PSP@1 PSP@3 PSP@5 PSN@1 PSN@3 PSN@5 Model size (GB) Train time (hr) AnnexML * 79.26: 64.30: 52.33: 79.26: 68.13: 61.60: 34 For example, to reproduce the results on the EURLex-4K dataset: omikuji_fast train eurlex_train.txt --model_path ./model omikuji_fast test ./model eurlex_test.txt --out_path predictions.txt Python Binding. A simple Python binding is also available for training and prediction.
biased - Swedish translation – Linguee
We will use Eurlex-4K as an example. In the ./datasets/Eurlex-4K folder, we assume the following files are provided: X.trn.npz: the instance TF-IDF feature matrix for the train set. The data type is scipy.sparse.csr_matrix of size (N_trn, D_tfidf), where N_trn is the number of train instances and D_tfidf is the number of features. For example, to reproduce the results on the EURLex-4K dataset: omikuji_fast train eurlex_train.txt --model_path ./model omikuji_fast test ./model eurlex_test.txt --out_path predictions.txt Python Binding. A simple Python binding is also available for training and prediction. It … DATASET: the dataset name such as Eurlex-4K, Wiki10-31K, AmazonCat-13K, or Wiki-500K. v0 : instance embedding using sparse TF-IDF features v1 : instance embedding using sparse TF-IDF features concatenate with dense fine-tuned XLNet embedding cd./pretrained_models bash download-model.sh Eurlex-4K bash download-model.sh Wiki10-31K bash download-model.sh AmazonCat-13K bash download-model.sh Wiki-500K cd../ Prediction and Evaluation Pipeline.
A simple Python binding is also available for training and prediction.
Farledens riktning
A simple Python binding is also available for training and prediction. It can be install via pip: pip install omikuji EURLex-4K. Method P@1 P@3 P@5 N@1 N@3 N@5 PSP@1 PSP@3 PSP@5 PSN@1 PSN@3 PSN@5 Model size (GB) Train time (hr) AnnexML * 79.26: 64.30: 52.33: 79.26: 68.13: 61.60: 34 We will use Eurlex-4K as an example. In the ./datasets/Eurlex-4K folder, we assume the following files are provided: X.trn.npz: the instance TF-IDF feature matrix for the train set.
13,905. 1,544. 3,865.
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temps de sejour - Traduction suédoise – Linguee
위의 표에서 구체적인 데이터셋의 인스턴스 수를 확인할 수 있다.
temps de sejour - Traduction suédoise – Linguee
The data type is scipy.sparse.csr_matrix of size (N_trn, D_tfidf), where N_trn is the number of train instances and D_tfidf is the number of features. · Analyzed extreme multi-label classification (EXML) on EURLex-4K dataset using state-of-the-art algorithms.
Variable. Schnellzugriff. Auskünfte zu gültigen ABE-Betriebserlaubnissen · E-Typ · Merkblatt zur Anfangsbewertung (MAB) - Stand: April 2016 · EUR Lex · ABE - NOx- Eur-Lex-Europa.eu (textos de legislación europea), Búsquedas más frecuentes español :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, - 200k, -500k,. You are here. EUROPA · EUR-Lex home; EUR-Lex - 32013D0755 - EN a). De har ett EORI-nummer enligt artiklarna 4k–4t i förordning (EEG) nr 2454/93. Regulation (EEC) No 805/68 of the Council of 27 June 1968 on the common organisation of the market in beef and veal.