v0.7.1

HiddenMarkovModels v0.7.1

Diff since v0.7.0

Merged pull requests:

• docs: mention what weight_seq is for in examples/interfaces.jl (#141) (@gfayebedrin)
• Add gradient descent docs - bump Julia compat to 1.10 (#142) (@rsenne)
• Add controlled emission HMM. (#143) (@rsenne)
• Adds optional progress bar (#144) (@rsenne)
• Fix links following repo transfer (#146) (@gdalle)
• Minor doc fixes (#147) (@rsenne)
• Improve benchmark suite (#148) (@rsenne)
• Add duration distribution helpers (#150) (@rsenne)
• Pin JuliaFormatter to 1.0.62 and apply formatting (#152) (@rsenne)

Closed issues:

• Examples of fitting with gradient descent (#51)
• Progress bar? (#131)
• docs: mention what weight_seq is for in examples/interfaces.jl (#140)
• Documentation link in README 404s (#145)
• Pin JuliaFormatter version (#151)

v0.7.0

HiddenMarkovModels v0.7.0

Diff since v0.6.3

Breaking changes

• Shift temporal effect of control on transition matrix (#138). The control variable $u_t$ used to influence the transition matrix from $x_t$ to $x_{t+1}$, now it influences the transition from $x_{t-1}$ to $x_t$ (which is more coherent with the observation process). Models without controls are not affected by this change.

Merged pull requests:

• BREAKING CHANGE: Shift temporal effect of control on transition matrix (#138) (@gdalle)

v0.6.3

HiddenMarkovModels v0.6.3

Diff since v0.6.2

Merged pull requests:

• Skip broken alloc test on 1.11 (#128) (@gdalle)
• Add precompilation workload (#133) (@gdalle)
• Revert "Add precompilation workload" (#135) (@gdalle)
• Format (#136) (@gdalle)
• Bump (#137) (@gdalle)

v0.6.2

HiddenMarkovModels v0.6.2

Diff since v0.6.1

Merged pull requests:

• Add citation to README (#124) (@gdalle)
• Don't error if the loglikelihood isn't finite (#127) (@gdalle)

Closed issues:

• HDP priors? (#118)

v0.6.1

HiddenMarkovModels v0.6.1

Diff since v0.6.0

Merged pull requests:

• Clarify discrete aspect in README (#117) (@adannenberg)
• Functional API for applying transition matrix (#121) (@gdalle)
• Restrict single-threading to single sequence (#122) (@gdalle)

Closed issues:

• Linear memory Baum-Welch? (#7)

v0.6.0

HiddenMarkovModels v0.6.0

Breaking changes

In-place single-sequence routines were hidden from the public API. Most user code will not be affected.

Performance improvements

• Multithreading is now deactivated if seq_ends is passed as an NTuple. This helps remove overhead for very few sequences (especially for a single one).

Diff since v0.5.4

Merged pull requests:

• Decompose forward function into initialize, predict, update (#105) (@THargreaves)
• Update inference routines (#116) (@gdalle)

Closed issues:

• Stop testing against HMMBase (#109)
• Avoid @threads for a single sequence (#110)

v0.5.4

HiddenMarkovModels v0.5.4

Diff since v0.5.3

Merged pull requests:

• Minor optimizations and simd (#108) (@gdalle)
• Make HMMBase optional in the test suite (#111) (@gdalle)
• Fix loglikelihood increase check in Baum-Welch (#112) (@gdalle)
• Disable multithreading when seq_ends is passed as a tuple (#113) (@gdalle)
• Bump version to 0.5.4 (#114) (@gdalle)
• Improve code coverage (#115) (@gdalle)

Closed issues:

• Avoid repeated transposition when using time-homogenous transition matrix (#106)

v0.5.3

HiddenMarkovModels v0.5.3

Diff since v0.5.2

Merged pull requests:

• Allow heterogeneous distributions (#102) (@gdalle)

Closed issues:

• Allow dist to be a Vector{Distribution{Univariate, Continuous}} in Baum Welch (#101)

v0.5.2

HiddenMarkovModels v0.5.2

Diff since v0.5.1

Merged pull requests:

• Add JOSS citation (#98) (@gdalle)
• Allow different types for elementwise log (#100) (@gdalle)

Closed issues:

• Allow different types for transition matrix and elementwise log (#99)

v0.5.1

HiddenMarkovModels v0.5.1

Diff since v0.5.0

Merged pull requests:

• Final benchmarks (#94) (@gdalle)
• Fix benchmark reproducibility (#95) (@gdalle)
• Remove precompilation (#97) (@gdalle)

Closed issues:

• Benchmarks (#2)
• Porting issues from HMMBase.jl (#92)