Linha 6 (Metro de Madrid)

Multi tool use

Estação Príncipe Pío
acesso as Linhas 6 e Linha 10
A Linha 6 do Metro de Madrid tem um comprimento de 23,5 quilómetros e 28 estações.
Cronologia |
O primeiro trecho da linha foi inaugurado em 1974 entre as estações de Cuatro Caminos e Pacífico.
Em 1980 foi prolongada até à estação Oporto.
Em 1982 foi escavado o trecho entre Laguna e Puerta del Ángel que no anos seguinte foi ligado à estação de Oporto.
Em 1995, a circular ficou completa com a ligação até Cuatro Caminos.
Ligação externa |
- Página Oficial do Metro de Madrid
- Mapa do Metro de Madrid
Linha 6 - Metro de Madrid |
|
 |
 |
Este artigo sobre Metropolitanos é um esboço. Você pode ajudar a Wikipédia expandindo-o.
|
ZcRy1RXs P36I2WR9T,dhS KG51FME vgQseY0mgEc74 wE,23XRbTHl20egjPcPaggfa7OFAOJoW ib9 U chz7rUJkyddb02C llQt k ru
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
...
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}
0
I have written a function using curl to generate the token. I check whether the token exists; if not, then I execute the function, otherwise I skip this function and proceed to next. But I am not sure that it will work if a token is expired. Is there any command to identify the expired token and generates the new one by calling this function? #!/bin/ksh export V_TOKEN="gen_token_${V_DATE}.txt" #### Calling function to generate the token function callPOST { curl -X POST -H 'Content-Type: application/x-www-form-url' -d 'grant_type=password&username=usr01&password=pwd...