triangular_like

triangular_like(
    x: &Tensor<T>,
    low: T,
    high: T,
    mode: T
) -> Result<Tensor<T>, TensorError>

Same as triangular but the shape will be based on x. Creates a Tensor with values drawn from a triangular distribution with specified lower limit, upper limit, and mode.

Parameters:

x: Input Tensor to derive the shape from

low: Lower limit (a) of the distribution.

high: Upper limit (b) of the distribution. Must be greater than low.

mode: Mode (c) of the distribution. Must be between low and high.

Returns:

Tensor with type T containing random values from the triangular 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 triangular distribution
    let t = x.triangular_like(0.0, 10.0, 5.0)?;
    println!("{}", t);
    Ok(())
}

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