input argument order in deep learning functions
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feynman feynman
il 3 Dic 2022
Commentato: feynman feynman
il 3 Dic 2022
For those that have many input arguments, does the order of the input arguments affect the result of the function. For example, is
[___] = adamupdate(___learnRate,gradDecay,sqGradDecay,epsilon)
different from
[___] = adamupdate(___gradDecay,sqGradDecay,epsilon,learnRate)
and if so, does matlab support inputting arguments like the following?
[___] = adamupdate(___learnRate=0.1,gradDecay=0,sqGradDecay=0,epsilon=1)
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Stephen23
il 3 Dic 2022
Modificato: Stephen23
il 3 Dic 2022
"For those that have many input arguments, does the order of the input arguments affect the result of the function."
In general, yes, the input order is significant.
"... is ... different from... "
Yes. In general MATLAB input arguments are positional, so their position determines the meaning of that input (not the variable name or anything else).
"...does matlab support inputting arguments like the following"
Yes, but only for particular arguments that are known in the documentation as "name-value" arguments. For example, the CELLFUN documentation lists exactly two name-value arguments (in addition to the positional input arguments):
The syntax that you show using name-value is supported only since 2021a:
5 Commenti
Walter Roberson
il 3 Dic 2022
The summary syntax would literally include
Name, Value
if a call supports name/value pairs
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