numpy_ipps.statistical module

Statistical Functions.

class numpy_ipps.statistical.Max

Max Function.

dst[0]  <-  Max( src )

Numpy dtype candidates: int16, int32, float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.int16'>, <class 'numpy.int32'>, <class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.Mean

Mean Function.

dst[0]  <-  Sum( src ) / len( src )

Numpy dtype candidates: float32, float64, complex64, complex128

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>, <class 'numpy.complex64'>, <class 'numpy.complex128'>)

class numpy_ipps.statistical.Min

Min Function.

dst[0]  <-  Min( src )

Numpy dtype candidates: int16, int32, float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.int16'>, <class 'numpy.int32'>, <class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.NormDiff_Inf

NormDiff Inf Function.

dst[0]  <-  NormInf( src1 - src2 )

Numpy dtype candidates: float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src1, src2, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.NormDiff_L1

NormDiff L1 Function.

dst[0]  <-  NormL1( src1 - src2 )

Numpy dtype candidates: float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src1, src2, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.NormDiff_L2

NormDiff L2 Function.

dst[0]  <-  NormL2( src1 - src2 )

Numpy dtype candidates: float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src1, src2, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.Norm_Inf

Norm Inf Function.

dst[0]  <-  NormInf( src )

Numpy dtype candidates: float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.Norm_L1

Norm L1 Function.

dst[0]  <-  NormL1( src )

Numpy dtype candidates: float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.Norm_L2

Norm L1 Function.

dst[0]  <-  NormL2( src )

Numpy dtype candidates: float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.StdDev

StdDev Function.

dst[0]  <-  Sqrt( Sum( ( src - Mean( src ) )**2 / len( src ) ) )

Numpy dtype candidates: float32, float64

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.float32'>, <class 'numpy.float64'>)

class numpy_ipps.statistical.Sum

Sum Function.

dst[0]  <-  Sum( src )

Numpy dtype candidates: int16, uint16, int32, uint32, float32, float64, complex64, complex128

Constructor signature: (dtype, size=None)

Call signature: (src, dst)

dtype_candidates = (<class 'numpy.int16'>, <class 'numpy.uint16'>, <class 'numpy.int32'>, <class 'numpy.uint32'>, <class 'numpy.float32'>, <class 'numpy.float64'>, <class 'numpy.complex64'>, <class 'numpy.complex128'>)