Mike Dean

Multi tool use
Mike Dean
|
|
Nome completo
|
Michael Leslie Dean
|
Nascimento
|
2 de julho de 1968 (50 anos) Wirral, Inglaterra
|
Nacionalidade
|
Inglês
|
Ocupação
|
Árbitro profissional
|
Filiação
|
Associação de Futebol de Cheshire County
|
Árbitro FIFA
|
2003–
|
Michael Leslie "Mike" Dean (Wirral, 2 de julho de 1968) é um árbitro profissional de futebol na Inglaterra. Desde 2000 ele atua na Premier League e, desde 2003, ele apita para a FIFA. Ele pertence à Associação de Futebol de Cheshire County.
Dean começou sua carreira em 1985, primeiro como árbitro no Northern Premier League, depois como assistente na Football League em 1995. No ano de 1997, ele tornou-se um árbitro completa.[1]
Referências |
↑ Weltfussball: Mike Dean, recuperado 20 de abril 2014.
YF9eVA Gi,FYKajADevHrsReAreEPd4FE6HaD6T8H NXg,JL9oo0n 5inzNahFW3ZhgXy9NJYhtBLR6Yh,q o,ZqYMHiSQkW
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...