The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
visit_array buffer
sized to grammar interval count (was series length); could overflow and
segfault when seed >= 0 enabled the
seeded random-search path. Tier-B tests now exercise
seed = 0 on ecg0606.seed = 0);
w150/p7/a4 asserts the top discord is not a zero-distance boundary
gap.\examples{}
on sax_via_window, SAX-VSM bag/TF·IDF helpers, and
cosine_sim; clarify cosine_dist() title and
find_discords_rra() defaults in .Rd files;
Codecov badge URL → app.codecov.io (CRAN incoming
check).NEWS.md in the
tarball; exclude agent audit HTML from builds; refresh
DESCRIPTION summary; roxygen2 8.0.0 metadata.rule_record
by-value), RRA, and cosine_sim (Valgrind-clean on long
runs)._paa2 in-place fractional PAA,
_znorm_slice, unified _sax_via_window path
(~2.3× on bag construction).w_size
z-norm windows (~1.3× on ecg0606); identical results and distance-call
counts.idx_to_letter() validates index range [1,
26]._is_equal_mindist(std::string) in SAX
numerosity reduction; remove unused HOT-SAX state; clarify
cosine_dist() roxygen.Matrix Profile / MASS convention: - znorm now uses POPULATION
standard deviation (divide by n) instead of sample std (n-1). Each
normalized window then has empirical variance exactly 1, the assumption
behind SAX’s equiprobable Gaussian breakpoints. - SAX symbol assignment
maps a value exactly on a breakpoint to the symbol ABOVE the cut
(cuts[j] <= ts[i]), matching the jmotif Java original and saxpy.
Previously a strict < mapped on-cut values to the symbol
below. - PAA: fixed a floating-point boundary bug in the fractional PAA
(_paa2, the public paa() / sax_by_chunking path). The final segment
break paa_num * (len/paa_num) can round above len in IEEE-754
(e.g. 7(29/7) = 29.000000000000004), which dropped the last sample
from the final segment and corrupted its mean on ~5-6% of non-divisible
(n, paa_num) shapes. The final break is now snapped to len, matching the
saxpy / Java fractional PAA. NOTE: all three are behavioral changes –
SAX words for windows whose normalized PAA values fall near a breakpoint
may differ from 1.2.x output. HOT-SAX and brute-force discord
discovery now measure the nearest-neighbour distance on Z-NORMED windows
(the SAX premise of shape similarity): - find_discords_hotsax: the three
internal _znorm() calls had been left commented out, so distances were
computed on RAW subsequences – it reported raw-amplitude outliers
(e.g. ecg0606 pos 411 / 1.50) instead of true z-normed shape discords
(pos 430 / 5.28). The windows are now z-normed and compared with an
early-abandoning Euclidean distance. - find_discords_brute_force now
z-normalizes too and gained an n_threshold parameter
(default 0.01); previously it had no threshold and ran on raw
subsequences. It is again a valid z-normed reference for HOT-SAX. - Both
now use a deterministic lowest-index tie-break and a +/-(w-1) exclusion
zone, so results are reproducible and match saxpy / Java exactly
(ecg0606 top discords: 430/5.279, 318/4.176, 2080/2.393). NOTE:
behavioral change – discord positions/distances differ from 1.2.x, which
reported raw-distance discords.
Pre-release development version.
Added the Re-Pair grammatical inference algorithm implementation.
Added grammatical “rule coverage” curve implementation facilitating a time series anomaly discovery.
Added RRA (Rare Rule Anomaly) algorithm implementation for grammar-based variable length time series anomaly discovery.
Added the HOT-SAX time series discord finding algorithm implementation.
Added the brute-force time series discord finding algorithm implementation based on the early-abandoning Euclidean distance.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.