weibull_like

weibull_like(
    x: &Tensor<T>,
    shape: T,
    scale: T
) -> Result<Tensor<T>, TensorError>

Same as weibull but the shape will be based on x. Creates a Tensor with values drawn from a Weibull distribution with specified shape and scale parameters.

Parameters:

x: Input Tensor to derive the shape from

shape: Shape parameter (k), determines the shape of the distribution. Must be positive.

scale: Scale parameter (λ), determines the spread of the distribution. Must be positive.

Returns:

Tensor with type T containing random values from the Weibull distribution.

Examples:

use hpt::{error::TensorError, ops::Random, Tensor};

fn main() -> Result<(), TensorError> {
    // Create an initial tensor
    let x = Tensor::<f32>::randn(&[10, 10])?;
    
    // Create a new tensor with same shape as x but with Weibull distribution
    let w = x.weibull_like(2.0, 1.0)?;
    println!("{}", w);
    Ok(())
}

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