pareto_like

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

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

Parameters:

x: Input Tensor to derive the shape from

scale: Scale parameter (xₘ), also known as the minimum possible value. Must be positive.

shape: Shape parameter (α), also known as the Pareto index. Must be positive.

Returns:

Tensor with type T containing random values from the Pareto 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 Pareto distribution
    let p = x.pareto_like(1.0, 3.0)?;
    println!("{}", p);
    Ok(())
}

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