Bivio

Multi tool use
Coordenadas: 46° 28' N 9° 39' E
 Suíça
Bivio
|
|
Bivio
|
Cantão
|
Grisões
|
Distrito
|
Albula
|
Língua(s) oficial(is)
|
alemão, italiano e romanche
|
Coordenadas
|
46° 28' N 9° 39' E
|
Altitude
|
1.776 m n.m.m.
|
Área
|
76,70 km²
|
População (2010) - Densidade
|
204 hab. 3 hab/km²
|
Fracções
|
|
Fronteiras
|
Avers, Bever, Marmorera, Mulegns, Sils im Engadin/Segl, Silvaplana, Soglio, Stampa, Sur
|
Código postal
|
7457
|
Website
|
www.bivio.ch
|
|
Bivio é uma comuna da Suíça, no Cantão Grisões, com cerca de 227 habitantes. Estende-se por uma área de 76,70 km², de densidade populacional de 3 hab/km². Confina com as seguintes comunas: Avers, Bever, Marmorera, Mulegns, Sils im Engadin/Segl, Silvaplana, Soglio, Stampa, Sur.
As línguas oficiais nesta comuna são o alemão, o italiano e o romanche.
O Commons possui imagens e outras mídias sobre Bivio
 |
Este artigo sobre Geografia da Suíça é um esboço. Você pode ajudar a Wikipédia expandindo-o. |
HrzKV KcpWKs ES1fLE5swDXzevK,9dZqpFtZ7NV uTxHhwZqSndw028bOFqm3u5NAec,x9r9
Popular posts from this blog
0
I found a lot of questions abount appendices and ToC. Many users want appendices to be grouped in an Appendix part, however some problems arise with ToC, hyperref, PDF viewer bookmarks, and so on. There are different solutions which require extra packages, command patching and other extra code, however none of them satisfies me. I almost found an easy way to accomplish a good result, where appendices are added to bookmarks in the right way and hyperref links point to the right page. However, the number of the "Appendix" part page is wrong (it's the number of appendix A). Is there any EASY way to fix that? This is a MWE: documentclass{book} usepackage[nottoc,notlot,notlof]{tocbibind} usepackage{hyperref} begin{document} frontmatter tableofcontents mainmatter part{First} chapter{...
1
In the sklearn.model_selection.cross_val_predict page it is stated: Generate cross-validated estimates for each input data point. It is not appropriate to pass these predictions into an evaluation metric. Can someone explain what does it mean? If this gives estimate of Y (y prediction) for every Y (true Y), why can't I calculate metrics such as RMSE or coefficient of determination using these results?
python scikit-learn cross-validation
share | improve this question
edited Nov 28 '18 at 17:52
desertnaut
20.3k 7 43 79
...
0
I have problem with inserting data to MySQL from modal. My modal: <a href="#" class="badge badge-pill badge-success">6 komentarzy</a> <a href="#" class="badge badge-pill badge-danger">brak komentarzy</a> <a data-toggle="modal" href="#add_desk_comm_{$desk_['desk_id']}" data-target="#add_desk_comm_{$desk_['desk_id']}" class="ediiit">(dodaj)</a> <div class="modal fade" id="add_desk_comm_{$desk_['desk_id']}" tabindex="-1" role="dialog" aria-labelledby="edit_printer" aria-hidden="true"> <div class="modal-dialog" role="document"> ...