SVM radial kernel equation
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Lets say i have two independent variables (P and Q) and a binary variable C. i use logistic regression to calculate individual coefficients of P and Q (m,n) plus a constant( b). The equation of generalised linear model will be (mP + nQ + b). I can now use this equation to calculate probabilities. Similarly, if I use support vector, how to get this kind of generalised linear model equation? I have used scikit in Python and also R, all i get is total number of support vectors and their values and value for (alpha (i) x X(i)) and rho(constant term).
predictive-modeling svm data-science-model kernel
asked 11 mins ago
Alejandro Alejandro
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$begingroup$
Lets say i have two independent variables (P and Q) and a binary variable C. i use logistic regression to calculate individual coefficients of P and Q (m,n) plus a constant( b). The equation of generalised linear model will be (mP + nQ + b). I can now use this equation to calculate probabilities. Similarly, if I use support vector, how to get this kind of generalised linear model equation? I have used scikit in Python and also R, all i get is total number of support vectors and their values and value for (alpha (i) x X(i)) and rho(constant term).
predictive-modeling svm data-science-model kernel
asked 11 mins ago
Alejandro Alejandro
62
New contributor
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Lets say i have two independent variables (P and Q) and a binary variable C. i use logistic regression to calculate individual coefficients of P and Q (m,n) plus a constant( b). The equation of generalised linear model will be (mP + nQ + b). I can now use this equation to calculate probabilities. Similarly, if I use support vector, how to get this kind of generalised linear model equation? I have used scikit in Python and also R, all i get is total number of support vectors and their values and value for (alpha (i) x X(i)) and rho(constant term).
predictive-modeling svm data-science-model kernel
asked 11 mins ago
Alejandro Alejandro
62
New contributor
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Lets say i have two independent variables (P and Q) and a binary variable C. i use logistic regression to calculate individual coefficients of P and Q (m,n) plus a constant( b). The equation of generalised linear model will be (mP + nQ + b). I can now use this equation to calculate probabilities. Similarly, if I use support vector, how to get this kind of generalised linear model equation? I have used scikit in Python and also R, all i get is total number of support vectors and their values and value for (alpha (i) x X(i)) and rho(constant term).
predictive-modeling svm data-science-model kernel
predictive-modeling svm data-science-model kernel
asked 11 mins ago
Alejandro Alejandro
62
New contributor
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 mins ago
Alejandro Alejandro
62
New contributor
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 mins ago
Alejandro Alejandro
62
New contributor
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 mins ago
Alejandro Alejandro
62
asked 11 mins ago
Alejandro Alejandro
62
62
New contributor
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Alejandro is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
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