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Mathematically oriented operators and functions useful in machine learning contexts.
Traitsยง
- Abs
- Affine
- apply an affine transformation to a tensor;
affine transformation is defined as
mul * self + add - Conjugate
- Cos
- Cosh
- Cubed
- Exp
- Inverse
- The
Inversetrait generically establishes an interface for computing the inverse of a type, regardless of if its a tensor, scalar, or some other compatible type. - MatMul
- The
MatMultrait defines an interface for matrix multiplication. - MatPow
- The
MatPowtrait defines an interface for computing the power of some matrix - Percent
Change - The
PercentChangetrait establishes a binary operator for computing the percent change between two values where the caller is considered the original value. - Percent
Diff - Compute the percentage difference between two values. The percentage difference is defined as:
- Root
- The
Roottrait provides methods for computing the nth root of a number. - Sine
- Sinh
- Square
Root - Squared
- Summary
Statistics - This trait describes the fundamental methods of summary statistics. These include the mean, standard deviation, variance, and more.
- Tan
- Tanh
- Transpose
- The
Transposetrait generically establishes an interface for transposing a type