The base Classes are MatrixProfile
and MultiMatrixProfile
, but as other functions are used,
classes are pushed behind, since the last output normally is the most significant. If you want,
for example, to plot the Matrix Profile from a Fluss
object, you may use as.matrixprofile()
to cast it back.
as.matrixprofile(.mp) as.multimatrixprofile(.mp) as.pmp(.mp) as.valmod(.mp) as.fluss(.mp) as.chain(.mp) as.discord(.mp) as.motif(.mp) as.multimotif(.mp) as.arccount(.mp) as.salient(.mp)
.mp | a TSMP object. |
---|
Returns the object with the new class, if possible.
as.matrixprofile
: Cast an object changed by another function back to MatrixProfile
.
as.multimatrixprofile
: Cast an object changed by another function back to MultiMatrixProfile
.
as.pmp
: Cast an object changed by another function back to PMP
.
as.valmod
: Cast an object changed by another function back to MultiMatrixProfile
.
as.fluss
: Cast an object changed by another function back to Fluss
.
as.chain
: Cast an object changed by another function back to Chain
.
as.discord
: Cast an object changed by another function back to Discord
.
as.motif
: Cast an object changed by another function back to Motif
.
as.multimotif
: Cast an object changed by another function back to MultiMotif
.
as.arccount
: Cast an object changed by another function back to ArcCount
.
as.salient
: Cast an object changed by another function back to Salient
.
w <- 50 data <- mp_gait_data mp <- tsmp(data, window_size = w, exclusion_zone = 1 / 4, verbose = 0) mp <- find_motif(mp) class(mp) # first class will be "Motif"#> [1] "Motif" "MatrixProfile"