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RicardoSantos
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MathStatisticsKernelFunctions
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Library
"MathStatisticsKernelFunctions"
TODO: add library description here
uniform(distance, bandwidth)
Uniform kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
triangular(distance, bandwidth)
Triangular kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
epanechnikov(distance, bandwidth)
Epanechnikov kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
quartic(distance, bandwidth)
Quartic kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
triweight(distance, bandwidth)
Triweight kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
tricubic(distance, bandwidth)
Tricubic kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
gaussian(distance, bandwidth)
Gaussian kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
cosine(distance, bandwidth)
Cosine kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
logistic(distance, bandwidth)
logistic kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
sigmoid(distance, bandwidth)
Sigmoid kernel.
Parameters:
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
select(kernel, distance, bandwidth)
Kernel selection method.
Parameters:
kernel
: string, kernel to select. (options="uniform", "triangle", "epanechnikov", "quartic", "triweight", "tricubic", "gaussian", "cosine", "logistic", "sigmoid")
distance
: float, distance to kernel origin.
bandwidth
: float, default=1.0, bandwidth limiter to weight the kernel.
Returns: float.
MATH
statistics
التعليقات
uncensor
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Legend!
henryph24
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your very inspirational, thank you
Mihai_Iacob
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Thanks for sharing
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