Jutlândia do Norte

Multi tool use
Coordenadas: 57° 2' 52" N, 9° 55' 7" O
Nota: Se procura a nova região administrativa dinamarquesa, veja Jutlândia do Norte (região).
|
|
Localização do condado de Jutlândia do Norte na Dinamarca.
|
País
|
Dinamarca
|
Capital
|
Aalborg
|
Área
|
- Total
|
6,173 37 km²
|
População (2003)
|
- Total
|
495,625
|
Sítio
|
www.nja.dk
|
A Jutlândia do Norte foi um amt da Dinamarca de 1970 a 2006. Em 1.º de janeiro de 2007, foi fundido com a região da Jutlândia do Norte.
Municípios |
A Jutlândia do Norte tinha 27 municípios:
- Arden
- Brovst
- Brønderslev
- Dronninglund
- Farsø
- Fjerritslev
- Frederikshavn
- Hadsund
- Hals
|
- Hirtshals
- Hjørring
- Hobro
- Læsø
- Løgstør
- Løkken-Vrå
- Nibe
- Nørager
- Pandrup
|
- Sejlflod
- Sindal
- Skagen
- Skørping
- Støvring
- Sæby
- Aabybro
- Aalborg
- Aars
|
 |
Este artigo sobre Geografia da Dinamarca é um esboço. Você pode ajudar a Wikipédia expandindo-o. |
Condados da Dinamarca
|

|
Aarhus | Frederiksborg | Fiónia | Copenhaga | Jutlândia do Norte | Jutlândia do Sul | Ribe | Ringkobing | Roskilde | Storstrom | Vejle | Viborg | Vestsjaelland
|
7hi,L5UgVOeujcwLbk VIN,9JDrL,IYr Ubpmceq2z14l 4UN MnrTejUPW7xs
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...