pyproteonet.simulation.random_error

Functions

add_positive_gaussian(dataset[, molecule, ...])	For every sample and value of the given molecule and column add the absolute value of an error drawn from a normal distribution.
add_std_correlated_gaussian(dataset[, ...])	For every sample and value of the given molecule and column add the absolute value of an error
multiply_exponential_gaussian(dataset[, ...])	For every sample and value of the given molecule and column multiply the value by e**error, with error drawn from a normal distribution.
poisson_error(dataset[, molecule, column, ...])