9 de março de 1995 (23 anos) Houston, Texas, Estados Unidos
Nacionalidade
norte-americana
Ocupação
Atriz e cantora
Atividade
2006-atualmente
Cierra Alexa Ramirez (9 de março de 1995) é uma atriz e cantora estadunidense.[1] Ela é mais conhecida pelo seu papel de Mariana na série The Fosters.
Índice
1Filmografia
1.1Filmes
1.2Televisão
2Discografia
3Referências
Filmografia |
Filmes |
Ano
Título
Papel
Notaw
2006
All In
Marisol
2007
Star and Stella Save the World
Stella Rivera
2012
Girl in Progress
Ansiedad "Ann" Gutierrez
2016
Petting Scorpions
Daisy
2018
Marvel Rising: Secret Warriors
America Chavez / Miss America
Dublagem
Televisão |
Ano
Título
Papel
2005
Showtime at the Apollo
Ela mesma
2006
CSI: Miami
Isabell
2006
Zoey 101
Garota #1
2006
Desperate Housewives
Anne Marie
2007
The Suite Life of Zack & Cody
Jasmine
2008
My Own Worst Enemy
Ruthy Spivey
2012
Piper's Quick Picks
Ela mesma
2012
The Talk
Ela mesma
2012–2013
The Secret Life of the American Teenager
Kathy
2013–2018
The Fosters
Mariana Adams-Foster
2017
Drink Slay Love
Pearl
2019
Good Trouble
Mariana Adams-Foster
Discografia |
Ano
Disco
2016
Discreet
Referências
↑«'Secret Life of the American Teenager' Adds 'Suite Life' Actress as New Series Regular (Exclusive)» (em inglês). The Hollywood Reporter. 8 de março de 2012. Consultado em 17 de agosto de 2015
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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{...
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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
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edited Nov 28 '18 at 17:52
desertnaut
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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...