« Matrice de conception » : différence entre les versions
Aucun résumé des modifications Balise : Éditeur de wikicode 2017 |
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'''design matrix''' | '''design matrix''' | ||
In statistics, a design matrix, also known as model matrix or regressor matrix and often denoted by X, is a matrix of values of explanatory variables of a set of objects. Each row represents an individual object, with the successive columns corresponding to the variables and their specific values for that object. The design matrix is used in certain statistical models, e.g., the general linear model.[1][2][3] It can contain indicator variables (ones and zeros) that indicate group membership in an ANOVA, or it can contain values of continuous variables. | |||
<small> | <small> | ||
[https://www.apprentissageprofond.org/ Source : ''L'apprentissage profond'', Ian Goodfellow, Yoshua Bengio et Aaron Courville Éd. Massot 2018 ] | [https://www.apprentissageprofond.org/ Source : ''L'apprentissage profond'', Ian Goodfellow, Yoshua Bengio et Aaron Courville Éd. Massot 2018 ] | ||
[https://en.wikipedia.org/wiki/Design_matrix Source : Wikipedia Design_matrix] | |||
[[Catégorie:vocabulaire]] | |||
[[Catégorie:App-profond-livre]] | |||
Version du 23 octobre 2020 à 08:11
en construction
Définition
Français
matrice de conception
Anglais
design matrix
In statistics, a design matrix, also known as model matrix or regressor matrix and often denoted by X, is a matrix of values of explanatory variables of a set of objects. Each row represents an individual object, with the successive columns corresponding to the variables and their specific values for that object. The design matrix is used in certain statistical models, e.g., the general linear model.[1][2][3] It can contain indicator variables (ones and zeros) that indicate group membership in an ANOVA, or it can contain values of continuous variables.
Source : L'apprentissage profond, Ian Goodfellow, Yoshua Bengio et Aaron Courville Éd. Massot 2018
Contributeurs: Imane Meziani, Jacques Barolet, wiki
