quadratic

hyppo.tools.quadratic(n, p, noise=False, low=- 1, high=1)

Quadratic simulation.

Quadratic $(X, Y) \in \mathbb{R}^p \times \mathbb{R}$:

$$\begin{split}X &\sim \mathcal{U}(-1, 1)^p \\ Y &= (w^T X)^2 + 0.5 \kappa \epsilon\end{split}$$

Parameters

• n (int) -- The number of samples desired by the simulation (>= 5).

• p (int) -- The number of dimensions desired by the simulation (>= 1).

• noise (bool, default: False) -- Whether or not to include noise in the simulation.

• low (float, default: -1) -- The lower limit of the uniform distribution simulated from.

• high (float, default: 1) -- The upper limit of the uniform distribution simulated from.

Returns

x,y (ndarray of float) -- Simulated data matrices. x` and ``y have shapes (n, p) and (n, 1) where n is the number of samples and p is the number of dimensions.

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