Function reference • tsmp

All functions
`analyze()`	Runs an appropriate workflow based on the parameters passed in.
`as.matrixprofile()` `as.multimatrixprofile()` `as.pmp()` `as.valmod()` `as.fluss()` `as.chain()` `as.discord()` `as.motif()` `as.multimotif()` `as.arccount()` `as.salient()`	Convert a TSMP object into another if possible
`av_apply()`	Corrects the matrix profile using an annotation vector
`av_complexity()`	Computes the annotation vector that favors complexity
`av_hardlimit_artifact()`	Computes the annotation vector that suppresses hard-limited artifacts
`av_motion_artifact()`	Computes the annotation vector that suppresses motion artifacts
`av_stop_word()`	Computes the annotation vector that suppresses stop-word motifs
`av_zerocrossing()`	Computes the annotation vector that favors number of zero crossing
`compute()`	Computes the Matrix Profile or Pan-Matrix Profile
`discords()`	Search for Discord
`dist_profile()`	Calculates the distance profile using MASS algorithms
`fast_avg_sd()`	Fast implementation of moving average and moving standard deviation
`fast_movavg()`	Fast implementation of moving average
`fast_movsd()`	Fast implementation of moving standard deviation
`find_chains()`	Find Time Series Chains
`find_discord()`	Search for Discord
`find_motif()`	Search for Motifs
`find_snippet()`	Time Series Snippets: A New Primitive for Time Series Data Mining
`floss()`	Fast Low-cost Online Semantic Segmentation (FLOSS)
`floss_cac()`	FLOSS - Corrected Arc Counts
`floss_extract()`	FLOSS - Extract Segments
`fluss()`	Fast Low-cost Unipotent Semantic Segmentation (FLUSS)
`fluss_cac()`	FLUSS - Corrected Arc Counts
`fluss_extract()`	FLUSS - Extract Segments
`fluss_score()`	FLUSS - Prediction score calculation
`get_data()`	Get the data included in a TSMP object, if any.
`mass_v3()`	Calculates the distance profile using MASS_V3 algorithm
`min_mp_idx()`	Get index of the minimum value from a matrix profile and its nearest neighbor
`motifs()`	Search for Motifs
`motifs_discords_small`	Just a synthetic dataset for testing
`mpdist()`	MPdist - Distance between Time Series using Matrix Profile
`mpx()`	Fast implementation of MP and MPI for internal purposes, without FFT
`mp_fluss_data`	Original data used in the FLUSS paper
`mp_gait_data`	Original data used in the Time Series Chain demo
`mp_meat_data`	Original data used in the Salient Subsequences demo
`mp_test_data`	Original data used in the STDS demo
`mp_toy_data`	Original data used in the mSTAMP demo
`mstomp_par()` `mstomp()`	Multivariate STOMP algorithm Parallel version
`plot(<ArcCount>)` `plot(<Valmod>)` `plot(<MatrixProfile>)` `plot(<MultiMatrixProfile>)` `plot(<SimpleMatrixProfile>)` `plot(<Fluss>)` `plot(<Floss>)` `plot(<Chain>)` `plot(<Discord>)` `plot(<Snippet>)` `plot(<Motif>)` `plot(<MultiMotif>)` `plot(<Salient>)` `plot(<PMP>)`	Plot a TSMP object
`plot_arcs()`	Plot arcs between indexes of a Profile Index
`pmp()`	Pan-Matrix Profile
`pmp_upper_bound()`	Pan Matrix Profile upper bound
`read()`	Read TSMP object from JSON file.
`remove_class()`	Remove a `TSMP` class from an object
`salient_mds()`	Convert salient sequences into MDS space
`salient_score()`	Computes the F-Score of salient algorithm.
`salient_subsequences()`	Framework for retrieve salient subsequences from a dataset
`scrimp()`	Anytime univariate SCRIMP++ algorithm
`sdts_predict()`	Framework for Scalable Dictionary learning for Time Series (SDTS) prediction function
`sdts_score()`	Computes the F-Score of a SDTS prediction
`sdts_train()`	Framework for Scalable Dictionary learning for Time Series (SDTS) training function
`set_data()`	Set/changes the data included in TSMP object.
`simple_fast()`	Compute the join similarity for Sound data
`stamp_par()` `stamp()`	Anytime univariate STAMP algorithm Parallel version
`stomp_par()` `stomp()`	Univariate STOMP algorithm
`stompi_update()`	Real-time STOMP algorithm
`tsmp()`	Computes the Matrix Profile and Profile Index
`valmod()`	Variable Length Motif Discovery
`visualize()`	Plots an object generated from one of the algorithms. In some cases multiple plots will be generated
`write()`	Write a TSMP object to JSON file.

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