synthetic

Module Contents

Functions

rmse(→ float)	Calculate the root mean squared error between y and y_pred.
mae(→ float)	Calculate the mean squared error between y and y_pred.
get_energy(→ Array)

Attributes

Array
xplot
yplot
method1
xplot
yplot
N
xplot
yplot
method1
df
cols

synthetic.Array

synthetic.rmse(y: Array, y_pred: Optional[Array] = None) → float

Calculate the root mean squared error between y and y_pred.

If y_pred is not provided, y is treated as the residual vector.

synthetic.mae(y: Array, y_pred: Optional[Array] = None) → float

Calculate the mean squared error between y and y_pred.

If y_pred is not provided, y is treated as the residual vector.

synthetic.get_energy(nheavy: int, nsamples: int, loc=0, scale=1) → Array

synthetic.xplot = []

synthetic.yplot = []

synthetic.method1

synthetic.xplot

synthetic.yplot

synthetic.N = 1000000

synthetic.xplot = []

synthetic.yplot = []

synthetic.method1

synthetic.df

synthetic.cols = ['RMSE(E)', 'RMSE(E) / sqrt(nh)', 'RMSE(E/nh)', 'MAE(E)', 'MAE(E) / sqrt(nh)', 'MAE(E/nh)']