Shading region, specified as either'inside'or'outside'. The functionnormspecshades the region either'inside'or'outside'the specification limits. Output Arguments collapse all p— Probability of shaded area nonnegative scalar value Probability of the shaded area, returned as a nonnegative scalar value...
The two functions provided here provide functionality to visualize the error in the data as a shaded effect on the plot. plot_distribution may be used to visualize the line plot's mean and standard deviation, while plot_distribution may be used to visualize non-Gaussian statistics of the lin...
CONFPLOT is a linear plot utility, extending ERRORBAR to represent continuous confidence/error boundaries as a shaded gray area around the plotted line (i.e. taking advantage of the command 'area'). CONFPLOT(X,Y,L,U) plots the graph of vector X vs. vector Y with 'continuous' confidence...
The shaded shapes represent reflectors such as buildings. The major paths result in the arrival of delayed versions of the signal at the receiver. In addition, the radio signal undergoes scattering on a local scale for each major path. Such local scattering typically results from reflections off...
The result of the script is given in the plot below. Full Gaussian process on the toy data with the correct hyper-parameters. Data is shown as black spots, posterior mean prediction is shown as a black line and two standard deviations are given as grey shaded area. GP-LVM Changes for ...
p = normspec(specs) plots the standard normal density, shading the portion inside the specification limits given by the two-element vector specs, and returns the probability p of the shaded area. If spec has no lower limit, then set specs(1) to –Inf; if spec has no upper limit, then...
Cancel Create saved search Sign in Sign up Reseting focus {{ message }} SheffieldML / GPmat Public Notifications You must be signed in to change notification settings Fork 92 Star 132 Matlab implementations of Gaussian processes and other machine learning tools. License...