Library "MathStatisticsKernelFunctions"
TODO: add library description here
uniform(distance, bandwidth) Uniform kernel.
Parameters:
Returns: float.
triangular(distance, bandwidth) Triangular kernel.
Parameters:
Returns: float.
epanechnikov(distance, bandwidth) Epanechnikov kernel.
Parameters:
Returns: float.
quartic(distance, bandwidth) Quartic kernel.
Parameters:
Returns: float.
triweight(distance, bandwidth) Triweight kernel.
Parameters:
Returns: float.
tricubic(distance, bandwidth) Tricubic kernel.
Parameters:
Returns: float.
gaussian(distance, bandwidth) Gaussian kernel.
Parameters:
Returns: float.
cosine(distance, bandwidth) Cosine kernel.
Parameters:
Returns: float.
logistic(distance, bandwidth) logistic kernel.
Parameters:
Returns: float.
sigmoid(distance, bandwidth) Sigmoid kernel.
Parameters:
Returns: float.
select(kernel, distance, bandwidth) Kernel selection method.
Parameters:
Returns: float.
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.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
