gamma_like

gamma_like(
    x: &Tensor<T>,
    shape_param: T,
    scale: T
) -> Result<Tensor<T>, TensorError>

Same as gamma but the shape will be based on x. Creates a Tensor with values drawn from a gamma distribution with shape parameter shape_param and scale parameter scale.

Parameters:

x: Input Tensor to derive the shape from

shape_param: Shape parameter (k or α) of the gamma distribution. Must be positive.

scale: Scale parameter (θ) of the gamma distribution. Must be positive.

Returns:

Tensor with type T containing random values from the gamma 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 gamma distribution
    let g = x.gamma_like(2.0, 2.0)?;
    println!("{}", g);
    Ok(())
}

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