Mojo function
variance
variance(src: Buffer[type, size, address_space], mean_value: SIMD[type, 1], correction: Int = 1) -> SIMD[$0, 1]
Given a mean, computes the variance of elements in a buffer.
The mean value is used to avoid a second pass over the data:
variance(x) = sum((x - E(x))^2) / (size - correction)
variance(x) = sum((x - E(x))^2) / (size - correction)
Args:
- src (
Buffer[type, size, address_space]): The buffer. - mean_value (
SIMD[type, 1]): The mean value of the buffer. - correction (
Int): Normalize variance by size - correction.
Returns:
The variance value of the elements in a buffer.
variance(src: Buffer[type, size, address_space], correction: Int = 1) -> SIMD[$0, 1]
Computes the variance value of the elements in a buffer.
variance(x) = sum((x - E(x))^2) / (size - correction)
variance(x) = sum((x - E(x))^2) / (size - correction)
Args:
- src (
Buffer[type, size, address_space]): The buffer. - correction (
Int): Normalize variance by size - correction (Default=1).
Returns:
The variance value of the elements in a buffer.
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