beta_like

beta_like(
    x: &Tensor<T>,
    alpha: T,
    beta: T
) -> Result<Tensor<T>, TensorError>

Same as beta but the shape will be based on x. Creates a Tensor with values drawn from a beta distribution with parameters alpha and beta.

Parameters:

x: Input Tensor to derive the shape from

alpha: Shape parameter alpha (α) of the beta distribution. Must be positive.

beta: Shape parameter beta (β) of the beta distribution. Must be positive.

Returns:

Tensor with type T containing random values from the beta 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 beta distribution
    let b = x.beta_like(2.0, 5.0)?;
    println!("{}", b);
    Ok(())
}

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