cascade.utils.gp_regression_with_ci

cascade.utils.gp_regression_with_ci(data, x, y, alpha=0.95)

Gaussian process regression with confidence interval

Parameters:

• data (DataFrame) – Input data frame

• x (str) – Input variable

• y (str) – Output variable

• alpha (float) – Confidence level

Return type:

tuple[DataFrame, float]

Returns:

• Data frame with three additional columns of mean, lower and upper bounds

• Cutoff of input variable that covers minimal output value in CI