cohen_d()
emd()
get_working_dir()
monitor()
paired_euclidian()
plot_monitoring()
rmse()
Calculates effect size as cohen’s d
computes the Wasserstein distance (i.e. earth mover’s distance) across pathways P between u and v
get computer name to set working path
Performs the monitoring
Euclidian distance between paired simulations
display traces of monitored activity
compute the root mean squared error of correlation accross pathways P between u and v as \(d = \sqrt{ \sum_{p \in P} (\mu_u^p - \mu_v^p)^2}\)
pandas DataFrames with only pathway columns
Root Mean Squared Error