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.
Penafian
Maklumat dan penerbitan adalah tidak bertujuan, dan tidak membentuk, nasihat atau cadangan kewangan, pelaburan, dagangan atau jenis lain yang diberikan atau disahkan oleh TradingView. Baca lebih dalam Terma Penggunaan.
Penafian
Maklumat dan penerbitan adalah tidak bertujuan, dan tidak membentuk, nasihat atau cadangan kewangan, pelaburan, dagangan atau jenis lain yang diberikan atau disahkan oleh TradingView. Baca lebih dalam Terma Penggunaan.
