Nascido em 24 de junho de 2001, ele é o substituto digno de TMC Tele Monte Carlo.
Índice
1Programas
1.1Auditiorio
1.2Programas Educativos
1.3Series
1.4Jornalístico
1.5Esportes
2Ligações externas
Programas |
Auditiorio |
Markette
I Fantastici 5
Le Invasioni Barbariche
Cambio Moglie (Wife swap)
Programas Educativos |
Omnibus
Sfera
Stargate - Linea di Confine
Series |
Charmed
Sex and the City
Star Trek: Enterprise
Star Trek: Voyager
Star Trek: Deep Space Nine
The L Word
Crossing Jordan
Angels in America
The Pretender
Hustle
Sledge Hammer
The Practice
Cadfael
Jornalístico |
TG La7
L'infedele
Otto e mezzo
Omnibus
CNN
Effetto Reale
Esportes |
Copa do Mundo 2006
Rugby Union Six Nations Championship
World Superbike Championship
Ligações externas |
Site oficial em Italiano
v•e
Emissoras de televisão da Itália
Televisão aberta
Grupo RAI: Rai 1 • Rai 2 • Rai 3 • Rai 4 • Rai 5 • Rai Movie • Rai Premium • Rai Gulp • Rai Yoyo • Rai News 24 • Rai Storia • Rai Sport • Rai Scuola Mediaset: Canale 5 • Italia 1 • Rete 4 • Boing Cairo: La7 Sky: TV8 Outros: 7 Gold • TV2000
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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 problem with inserting data to MySQL from modal. My modal: <a href="#" class="badge badge-pill badge-success">6 komentarzy</a> <a href="#" class="badge badge-pill badge-danger">brak komentarzy</a> <a data-toggle="modal" href="#add_desk_comm_{$desk_['desk_id']}" data-target="#add_desk_comm_{$desk_['desk_id']}" class="ediiit">(dodaj)</a> <div class="modal fade" id="add_desk_comm_{$desk_['desk_id']}" tabindex="-1" role="dialog" aria-labelledby="edit_printer" aria-hidden="true"> <div class="modal-dialog" role="document"> ...