955

Multi tool use
SÉCULOS:
|
Século IX — Século X — Século XI
|
DÉCADAS:
|
900 • 910 • 920 • 930 • 940 • 950 • 960 • 970 • 980 • 990 • 1000
|
ANOS:
|
950 • 951 • 952 • 953 • 954 • 955 • 956 • 957 • 958 • 959 • 960
|
Eventos |
Ordonho III de Leão investe sobre Lisboa.
16 de Dezembro - É eleito o Papa João XII
- Os mouros retomam Coimbra e obrigam a retirada do exército cristão para lá do Rio Douro.
Nascimentos |
Damásio II de Brioude, visconde de Brioude, França.
Guilherme I de Arles, Conde de Arles e Marquês da Provença.
Falecimentos |
23 de Novembro - Rei Edred de Inglaterra
Raimundo Pôncio de Toulouse e Rouerge, conde de Toulouse e Rouerge e marquês de Gótia conde de Arvernia e duque da Aquitânia
Bernardo, o Dano n. 880, visconde de Ruão e chefe viquingue de origens Dinamarquesas
Herveu da Bretanha n. 870 foi conde do Maine pelo casamento.
YadiOavHtLKNK,M4 F9JlsmMqi zd LwP1oAg1l 4 E,hjQ rsEm,R6
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...