tick.plot.
plot_basis_kernels
(learner, support=None, basis_kernels=None, n_points=300, show=True)[source]¶Function used to plot basis of kernels
It is used jointly with tick.hawkes.inference.HawkesBasisKernels
learner class.
learner : HawkesBasisKernels
The given learner which basis kernels are plotted
support : float
, default=None
the size of the support that will be used to plot all the kernels. If None or non positive then the maximum kernel supports is used
basis_kernels : list
of func
, default=None
True basis kernels. If not
None
, it will find the closest estimated basis kernel and will plot it together. This basis kernels will be normalized to fit better with their estimations.
n_points : int
, default=300
Number of points that will be used in abscissa. More points will lead to a more precise graph.
show : bool
, default=`True`
if
True
, show the plot. Otherwise an explicit call to the show function is necessary. Useful when superposing several plots.
tick.plot.plot_basis_kernels
¶