vectorBinaryInnerProduct
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The vectorBinaryInnerProduct function returns the binary exponential inner product
of the two Number Vector arguments x1 and x2. The C formula used is as follows: The output of this function is binary in the closed range of [0 or 1]. Usage The vectorBinaryInnerProduct function may be used as a kernel for support
vector machine regression (see the svmRegression function). ((2.0 / (1.0 + exp(-innerProduct))) - 1) > 0 ? 1 : 0;
(vectorBinaryInnerProduct x1 x2) The binary exponential inner or dot product of the two vectors.
Expression:
Arguments
Name
Type
Description Argument: x1 NumVector
The first Number Vector to be multiplied Argument: x2 NumVector
The second Number Vector to be multiplied
Returns:
Here are a number of links to Lambda coding examples which contain this instruction in various use cases.
Here are the links to the data types of the function arguments.
Integer | Number | Vector | NumVector |
Here are also a number of links to functions having arguments with any of these data types.
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