Fills self tensor with numbers samples from the log-normal distribution parameterized by the given mean μ \mu μ and standard deviation σ \sigma σ. Note that mean and std are the mean and standard deviation of the underlying normal distribution, and not of the returned distribution:
f ( x ) = 1 x σ 2 π e − ( ln x − μ )2 2 σ2 f(x) = \dfrac{1}{x \sigma \sqrt{2\pi}}\ e^{-\frac{(\ln x - \mu)^2}{2\sigma^2}} f(x)=xσ2π 1 e−2σ2(lnx−μ)2
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4