Suggestion for choosing (building) loss funciton
$begingroup$
I would like to build a supervised learning model M satisfying the following conditions:
Training data {X, Y}, where x, y are numerical vectors and size(x) = m; size(y) = n
Assume: M(x) = p, then: 0 < p[k] <= y[k], for all k = 1..n
Could you please suggest what are the "best" loss function and optimization method that I can use to train this model M?
Thank you.
machine-learning optimization loss-function
asked 13 mins ago
Hoa NgoHoa Ngo
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$begingroup$
I would like to build a supervised learning model M satisfying the following conditions:
Training data {X, Y}, where x, y are numerical vectors and size(x) = m; size(y) = n
Assume: M(x) = p, then: 0 < p[k] <= y[k], for all k = 1..n
Could you please suggest what are the "best" loss function and optimization method that I can use to train this model M?
Thank you.
machine-learning optimization loss-function
asked 13 mins ago
Hoa NgoHoa Ngo
1
New contributor
Hoa Ngo 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 |
$begingroup$
I would like to build a supervised learning model M satisfying the following conditions:
Training data {X, Y}, where x, y are numerical vectors and size(x) = m; size(y) = n
Assume: M(x) = p, then: 0 < p[k] <= y[k], for all k = 1..n
Could you please suggest what are the "best" loss function and optimization method that I can use to train this model M?
Thank you.
machine-learning optimization loss-function
asked 13 mins ago
Hoa NgoHoa Ngo
1
New contributor
Hoa Ngo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I would like to build a supervised learning model M satisfying the following conditions:
Training data {X, Y}, where x, y are numerical vectors and size(x) = m; size(y) = n
Assume: M(x) = p, then: 0 < p[k] <= y[k], for all k = 1..n
Could you please suggest what are the "best" loss function and optimization method that I can use to train this model M?
Thank you.
machine-learning optimization loss-function
machine-learning optimization loss-function
asked 13 mins ago
Hoa NgoHoa Ngo
1
New contributor
Hoa Ngo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 13 mins ago
Hoa NgoHoa Ngo
1
New contributor
Hoa Ngo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 13 mins ago
Hoa NgoHoa Ngo
1
New contributor
Hoa Ngo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 13 mins ago
Hoa NgoHoa Ngo
1
asked 13 mins ago
Hoa NgoHoa Ngo
1
1
New contributor
Hoa Ngo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Hoa Ngo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Hoa Ngo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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