RELEASE_NOTES.md

0.5.1 TBP

• Additions:
  • latest commit #54feda1a
  • [#7aa79c61] add multinomial distribution
  • [#bb43b03b] add NMI
  • [#9919c4d5] documentation, tests, clean up
  • [#4b6f1cf7] add KNN classifier and logic to ML Unsupervised
  • [#9ba92b6f] add minkowski distance
  • [#65a0a690] add Bezier interpolation
  • [#b7792aeb] add hamming distance functions
  • [#94716bd1] Using Interval instead of tuples in distr.'s supports
  • [#59eaf551] add step interpolation docu
  • [#414d461e] add cubic spline with slopes
  • [#6a9038e9] add interpolation differentiation add interpolation integration
  • [#8fb5d6dd] add step interpolation
• Bugfixes:
  • [#63d8aa19] fix setColM as seen in #315
  • [#0ac2a52d] fix Akima interpolation

0.5.0 (Released 2022-8-4)

• Additions:
  • latest commit #8ae34d07
  • add various XML comments in Interpolation and Fitting modules
  • BREAKING: major refactor of Fitting and Interpolation module
    • separate CubicSpline.Simple and CubicSpline.Akima
    • rename coefficient to fit and fit to predict
  • addition of LinearRegression and Interpolation type
  • [#8ab0975] addition of clamped cubic spline
  • [#e884a75e] update FSharpAux version
  • update interval type

0.4.12-preview.3

• Additions:
  • latest commit #46d86ad1
  • [#c7117ef3] add negBinom distribution #256
  • [#e35a3e6a] add Signal.Binning
  • [#c3a98d41] add Nelder-Mead
  • [#e28b4c88] add geomspace #252
  • [#39e31c05] add linspace add linspace tests #235
  • [#6b839083] add shorthand to filter out nan values from array #249
  • [#35d0fc11] add chebyshev based approximation
  • [#e688e2be] add mor normalization function
  • [#3d6a2201] add normal InvCDF
  • [#44c80715] add map merge #263
  • [#6c9eb186] add wichura invCDF #262
  • [#1ccd534b] Added Performance Optimized hClust #266
  • [#7b210363] add invCDF for lognormal #262
  • [#3a0940fa] add parameter field to distribution interface #271
• Bugfixes:
  • [#32fa0c23] fix floating point errors at edge cases #245
  • [#ef21a0fd] fix beta distribution PDF
  • [#baf2a52f] fix neg binomial distribution #256
  • [#e6bfe6d4] fix Signal.Padding #265
• Documentation:
  • [#12e3f13e] update Empirical distribution docu #245
  • [#14041ceb] add chebyshev node documenation
  • [#b4e05356] add nelder mead docu
  • [#4d8b0505] add negBinom docu
• Deletions:
  • [#cf9ece39] remove the ContinuousDistribution module
  • [#6fa2a2d5] Remove DiscreteDistribution.fs

0.4.11+0c6567d4 (Released 2023-2-6)

• Additions:
  • latest commit #0c6567d4
  • [#ad67e226] add quantile normalization
  • [#71130762] add SAM individual features
  • [#0c6567d4] add matrix reader #185
• Deletions:
  • [#0726f42e] remove duplicate tests
• Bugfixes:
  • [#9f350419] fix SAM permutation #243
• Documentation
  • [#e7b81c1a] add normalization documentation closes #202

0.4.10+278bd95a (Released 2023-1-25)

• Additions:
  • latest commit #278bd95a
  • [#278bd95a] update median of ratios results type
  • [#f73b05fc] update SAM
  • [#b3714f23] update PCA deviation determination
  • [#27c92191] add logNormal nonlinear Model

0.4.9+b74ecf29 (Released 2022-11-18)

• Additions:
  • latest commit #b74ecf29
  • [#8d3427fa] add erfinv #238
  • [#20b2416d] add qq plot
  • [#26818d6b] update qq plot documentation
• Bugfixes:
  • [#3aa4c4ce] fix failing docs

0.4.8+be68a276 (Released 2022-8-29)

• Additions:
  • latest commit #be68a276
  • [#0d26dd2b] Add Gamma and Poisson fitting
  • [#fa9dc6c1] Refactoring distribution modules
  • [#20eee2e7] Add fitting and estimating a Gamma distribution from observations
  • [#e9170b0e] Add Trigamma function
  • [#e8e46bff] Add Digamma function
  • [#35b3fa36] Add unit test for Beta.powerSeries
  • [#ae70774b] Add Beta.powerSeries for incomplete beta integral
  • [#f64b4f1e] Add Seq.meanQuadratic and Seq.meanQuadraticBy
  • [#8b300c37] add new version PCA
• Deletions:
  • [#8ca9b900] removed obsolete wilcoxon distribution #213
• Bugfixes:
  • [#dcb044e6] Fixed: Sampling from Gamma
  • [#8fe33a6f] fixed Ftest tests
  • [#b83b8a71] 🐛 Fix infinite loop bug in X² CDF
  • [#526039cf] Fix Distributions.Discrete.Bernoulli.CDF 🐛
  • [#a9b2b055] Fix Distributions.Discrete.Bernoulli.PDF 🐛
  • [#db447834] fix intervals #208
• Tests:
  • [#bcc98700] add unit tests meanQuadratic #233
  • [#d21cc8c0] Added tests for Distributions.Continuous.F
  • [#ab261eda] added Tests for FSharp.Stats.Distributions.Distinct.Binominal
  • [#b0d6e540] add twoSamplePaired ttest test
  • [#f203428c] add Intervals.intersect unit test
  • [#a0ce2bbb] add PCA tests
  • [#b92244a4] Added tests for Distributions.Continuous.F
  • [#3ae95591] add interval tests #208
  • [#4907e532] Add exponential Distribution unit tests
  • [#47e2595e] Add beta function tests and xml docs
  • [#d9617f56] Add tests for SolveTriangularLinearSystem
  • [#dd412093] Add gamma function tests, add edgecase matches, add xml docs
  • [#68aec558] add twoSamplePaired ttest test
  • [#440a789c] add twosamplePaired ttest test
  • [#e5d21a7e] Add Binomial coefficient tests
  • [#142ae681] Add Unit test for F-Test
  • [#542b7897] Add docs for Bernoulli distribution 📚
  • [#312581f9] add onesample ttest test
  • [#8582dd72] Add error function tests, fix edge case return values for erfcx
  • [#cd964357] Add tests for SolveTriangularLinearSystems (Case: Lower)
  • [#872ace38] add twosample ttest test
  • [#c41cff63] Add logistic function tests
  • [#60615948] Add tests for SolveTriangularLinearSystems (Case: Upper)
  • [#1673a013] Add factorial and factorialLn tests, codebase cleanup
  • [#261b0b80] add distance metrics tests
• Documentation
  • [#8d03e0f3] Update F Distribution dokumentation
  • [#e159ab4d] update signal docu
  • [#be68a276] update distribution documentation
  • [#454abfe8] update ML documentation
  • [#b3e0960c] add Intervals documentation
  • [#f18cec6b] add PCA documentation

0.4.7+9386ed56 (Released 2022-5-30)

• Additions:
  • latest commit #9386ed56
  • [#a28a119b] add release notes build target
• Bugfixes:
  • [#8060b68a] Fix index errors on ommitted rows + ommitted cols formatting
• Tests
  • [#8a559f56] Add int Matrix formatting tests

0.4.6+5133c86a (Released 2022-5-30)

• Additions:
  • latest commit #5133c86a
  • [#194] add nullspace accuracy parameter #194
  • [#200] move DistanceMetrics from ML to Core #200
  • [#203] Add FSharp.Stats.Interactive
• Bugfixes:
  • [#195] fix Gamma function edge cases
  • [#183] fix rank module #183
• Tests:
  • [#72faba16] Add tests for formatting special float cases (infinity,nan)
  • [#39ffb209] Add formatting tests
  • [#9390d4b3] add rank unit tests
  • [#fb36a90d] add Polynomial interpolation test
  • [#6de434f0] add interpolation coefficients tests
  • [#ca9ad465] Add Natural Cubic,Quandratic and Parabolic Tests
• Documentation:
  • [#5b17a5f6] add rank documentation #183
  • [#d1a46d61] update q value variant description

0.4.5+dd76c80 (Released 2022-4-8)

• Additions:
  • latest commit #dd76c80
  • [#188] add Comparison metrics docs
  • [#188] add binary confusion matrix
  • [#188] add multi lable confusion matrix
  • [#188] add integration docs
• Improvements:
  • [#188] update Integration module
  • [#2777594] update to project-based build pipeline, use .net 6.0
  • [#192] improve Quantile speed

0.4.4+30d2f800 (Released 2022-3-8)

• Additions:
  • latest commit #30d2f800
  • [#30d2f800] update FSharpAux version
  • [#162] add LeastSquaresCholesky
  • [#165] remove Complex module
  • [#184] update List.median output

0.4.3+d424857 (Released 2022-1-19)

• Additions:
  • latest commit #d424857
  • [#a23fcd7] update signal.fs namespace #168
  • [#cc228f4] improve svd
  • [#09daa87] add Wilcoxon Test #117
  • [#5c36566] make benjaminiHochbergFDRBy tail-recursive
  • [#79913a2] update logo
  • [#165b8e3] add ascendingand descending versions of the 7 parameter richards curve
• Bugfixes:
  • [#b62743d] fix q value calculation #171
  • [#832f50c] fix svd #159
  • [#ba7ac89] fix Matrix.sumColumns output type #150
  • [#c18863c] fix spearman

0.4.2+b91c80d (Released 2021-7-27)

• Additions:
  • latest commit #b91c80d
  • [#050ead5] add dunnett multi comparison test #75
  • [#2f9fcf7] add RowVector.map #134
  • [#7d89443] add Matrix.map function #134
  • [#352d196] add nonlinear financial models
  • [#d33d971] add Friedman-Test
• Bugfixes:
  • [#6402636] fix degrees of freedom calculations for t statistic
  • [#3d4f3b8] fix Matrix.map references
  • [#b91c80d] fix LevenbergMarquardtConstrained parameter estimation

0.4.1+e699171 (Released 2021-4-9)

• Additions:
  • latest commit #e699171
  • [#1138ef6] update docs generation workflow
  • [#f8c2ed9] add binder links to all docs
  • [#e5a98bb] update altcover and switch to lcov coverage format
  • [#80c89d0] add generic Seq.cov functions based on Vector.cov.
  • [#8c82d85] add deseq2 medianOfRatios normalization
  • [#eba03f3] add ZScore calculations
  • update clustering, basic stats, and distribution documentation
• Deletions:
  • [#e855845] remove unnecessary doc files
• Bugfixes:
  • [#46d203e] fix Matrix.meanRowWise #119

0.4.0 - Tuesday. December 15, 2020

The documentation and unit tests have been extended.

• FSharp.Stats

  • latest commit #c76af47
  • Modernization of build and CI chains
  • Additional functionalities:
    • Chi Distribution
    • Box Muller transform
    • Multivariate normal distribution
    • zTransform
    • Statistical correlation testing

• FSharp.Stats.Lapack

  • detachment of FSharp.Stats.Lapack project from FSharp.Stats

• FSharp.Stats.MSF

  • detachment of FSharp.Stats.MSF project from FSharp.Stats

0.3.0-beta - Friday, October 9, 2020

Several bugfixes and additions to multiple namespaces. The documentation and unit tests have been extended.

Version bump to 0.3.0

• FSharp.Stats

  • Improvement of gap statistics performance
  • Bug fixes:
    • Random number generator bug in GapStatistics
    • Slope calculation for monoton spline
    • F distribution CDF
    • Chi square CDF
    • Covariance calculation
    • Tukey's HSD
    • Covariance calculation
  • Additional functionalities:
    • Silhouette index for cluster number determination
    • Extend range support for hypergeometric distribution
    • getCriticalTValue function
    • Confidence and prediction bands for simple linear regression
    • Shuffle and split cross validation
    • Generic version of leave one out cross validation
    • Constrained simple linear regression
    • Distribution distance metrices
    • Confidence intervals
    • SEM (Standard error of the mean)
    • Growth curve fitting
    • One sample t test
    • Hierarchical clustering aggregation
    • F test
    • Fishers LSD
    • H test
    • Studentized range distribution

• FSharp.Stats.Lapack

  • no changes

• FSharp.Stats.MSF

  • Modularization of temporal classification module
  • Additional functionalities:
    • xSpacing independent derivative determination with cubic splines

0.2.1-beta - Monday, February 17, 2020

First nuget pre-release package.

Version bump to 0.2.1-beta.

• FSharp.Stats

  • no changes

• FSharp.Stats.Lapack

  • no changes

• FSharp.Stats.MSF

  • no changes

0.2.0 - Friday, February 14, 2020

Additions, improvements and bugfixes in multiple namespaces. The documentation has been extended.

• FSharp.Stats.Fitting

  • Additional functionalities:
    • Nonlinear regression models for logistic functions
    • Parameter estimation for constrained Levenberg Marquard solver

• FSharp.Stats.ML

  • Namespace typo fix for GapStatistics. Watch out if using older versions.
  • Additional functionalities:
    • Imputation speed increase

• FSharp.Stats.MSF

  • Additional functionalities:
    • Third derivative spline calculation

0.1.1 - Thursday, November 7, 2019

Several bugfixes and additions to multiple namespaces. The documentation and unit tests have been extended.

• FSharp.Stats (core)

  • Additional functionalities:
    • Sparse Matrix initialization
    • Sparse Matrix multiplication replaced implementation to gain performance
    • Sparse Matrix QR decomposition
    • Spectral matrix norm
    • Generalized weighted pearson correlation

• FSharp.Stats.Fitting

  • Additional functionalities:
    • Crossvalidation kFold
    • RidgeRegression
    • Levenberg Marquardt implementation supporting box constrains

• FSharp.Stats.Signal

  • Additional functionalities:
    • Estimate optimal window width for savitzky golay filters
    • BaselineALS' internal use of sparse matrices to increase performance

• FSharp.Stats.ML

  • Additional functionalities:
    • Set similarity measures
    • Energy landscape plot to SA
    • GapStatistics assists cluster number optimization

0.1.0 - Wednesday, July 3, 2019

Several bugfixes and additions to multiple namespaces:

• FSharp.Stats (core)

  • Additional functionalities:
    • Matrix FSI printer for increasing convenience when working with matrices
    • Biweight midcorrelation for sequences, vectors and matrices
  • Bug fixes:
    • Fix shuffle functions to not shuffle in place (commits 2816d81 and 475874d)

• FSharp.Stats.Fitting

  • Additional functionalities:
    • Weighted polynomial least squares fitting to cope with heteroscedacity
    • Adjusted coefficient of determination to incorporate the number of required variables
    • Leave-out-one cross validation
    • Exponential fit model in non-linear regression
    • Theil-Sen estimator for robust linear regression
    • Weighted pearson correlation to cope with heteroscedacity
    • Calculate derivatives for polynomial regression

• FSharp.Stats.Interpolation

  • Additional functionalities:
    • Polynomial interpolation
    • Cubic spline interpolating with several boundary conditions
    • Cubic Hermite spline with simple slope estimator
    • Get monotonicity slopes that if possible fit an monotone interpolating cubic spline
    • Calculate derivatives for interpolating polynomials and interpolating cubic splines

• FSharp.Stats.Integration

  • Additional functionality:
    • TwoPointDifferentiation

• FSharp.Stats.Algebra

  • Additional functionality:
    • Calculation of the nullpace of a matrix based on SVD

• FSharp.Stats.Signal

  • Additional functionalities:
    • Ricker wavelet for 2D continuous wavelet transform
    • Marr wavelet for 3D continuous wavelet transform
    • Signal padding
    • Continuous wavelet transform with defaultCWT and discrete CWT

• FSharp.Stats.MSF

  • Several improvements for Hermite (Temporal Classification):
    • commit c0d98de
      • add extrema calculation of constrained spline
      • add third extrema constraints
      • add various weighting methods
      • add corrected AIC model selection criterion

0.0.14 - Friday, April 12, 2019

• PCA

0.0.13 - Wednesday, December 12, 2018

• Fix pValueAdjust

0.0.12 - Tuesday, December 11, 2018

• Fix median

0.0.11 - Monday, December 10, 2018

• Bump version to 0.0.11

0.0.1 - Tuesday, July 3, 2018

• Initial release