Pseudocraterellus

Multi tool use
Pseudocraterellus
|
|
Classificação científica
|
Domínio:
|
Eukaryota
|
Reino:
|
Fungi
|
Filo:
|
Basidiomycota
|
Classe:
|
Agaricomycetes
|
Ordem:
|
Cantharellales
|
Família:
|
Cantharellaceae
|
Género:
|
Pseudocraterellus
|
|
Nome binomial
|
Pseudocraterellus
|
Pseudocraterellus é um gênero de fungo pertencente à família Cantharellaceae.[1][2]
Espécies |
Cantharellaceae |
|
Craterellus
|
|
|
Cantharellus
|
|
Pseudocraterellus |
|
Pseudocraterellus undulatus
|
|
|
Pseudocraterellus neotropicalis
|
|
|
Pseudocraterellus alutaceus
|
|
|
Pseudocraterellus calyculus
|
|
|
Pseudocraterellus luteus
|
|
|
Pseudocraterellus pertenuis
|
|
|
Pseudocraterellus sinensis
|
|
|
Pseudocraterellus subundulatus
|
|
|
|
|
Pterygellus
|
|
|
Parastereopsis
|
|
|
Goossensia
|
|
|
|
Galeria |
Referências
↑ «Species 2000 & ITIS Catalogue of Life: 2011 Annual Checklist.». Bisby F.A., Roskov Y.R., Orrell T.M., Nicolson D., Paglinawan L.E., Bailly N., Kirk P.M., Bourgoin T., Baillargeon G., Ouvrard D. (red.). Species 2000: Reading, UK. 2011. Consultado em 24 de setembro de 2012
↑ Species Fungorum. Kirk P.M., 2010-11-23
- Este artigo foi inicialmente traduzido do artigo da Wikipédia em sueco, cujo título é «Pseudocraterellus».
Y9fEwRw0K,TtYp AJrfTJ4Rm55q8RO D4EfBURwcE,sCWxULFAyzUlbPq,JoJV8h617jr8tTD4FodijZ,yAKSwIk22GR
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
...
0
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"> ...