jaxampler-v0.0.7

Full Changelog: v0.0.6...v0.0.7

jaxampler-v0.0.6

What's Changed

• Location-Scale variant of Beta distribution by @Qazalbash in #74
• Loc-Scale variant of Cauchy distribution by @Qazalbash in #75
• Loc-Scale variant of Chi-sq distribution by @Qazalbash in #76
• Loc-scale variant of Exponential distribution by @Qazalbash in #78
• Loc-scale variant of Gamma distribution by @Qazalbash in #79
• Loc-scale variant of Geometric distribution by @Qazalbash in #80
• Loc-scale variant of Logistic distribution by @Qazalbash in #81
• Loc-scale variant of Normal and LogNormal distribution by @Qazalbash in #82
• Loc-scale variant of Pareto distribution by @Qazalbash in #83
• Loc-scale varaint of Poisson distribution by @Qazalbash in #84
• Loc-scale variant of Rayleigh distribution by @Qazalbash in #85
• Loc-scale variant of Student-t distribution by @Qazalbash in #86
• Loc-scale variant of Tuncated Normal distribution by @Qazalbash in #87
• Loc-scale variant of Weibull distribution by @Qazalbash in #88
• rvs method redesigned into a factory method by @Qazalbash in #90
• Factory methods for xxf methods by @Qazalbash in #91
• Single type for to represent random variables by @Qazalbash in #94
• Algebraic manipulation of random variables by @Qazalbash in #95

Full Changelog: v0.0.5...v0.0.6

jaxampler-v0.0.5

What's Changed

• Point and vectroized numerical functions by @Qazalbash in #20
• Add Monte Carlo Integration by @Qazalbash in #23
• Importance Sampling by @Qazalbash in #24
• Generalized Monte Carlo Integration by @Qazalbash in #26
• Migrate from setup.py to standard python package builder by @Qazalbash in #35
• Generalize MetropolisHastingSampler for random variables provided by jaxampler by @Qazalbash in #39
• Fix broadcasting arrays making objects heavy by @Qazalbash in #44
• Fix issue with shapes of parameters in rvs method by @Qazalbash in #45
• Operators type conflict for Numeric type resolved by @Qazalbash in #51
• Incompatible method override issue resolved by @Qazalbash in #53
• Unit test for binomial distribution by @mahausmani in #55
• Unit tests for Geometric Distribution by @mahausmani in #57
• Unit tests for uniform distribution and triangular distribution by @mahausmani in #58
• Incorrect implementation of rvs.Triangular.logcdf_x by @Qazalbash in #61
• Unit tests for Triangular Distribution by @mahausmani in #62
• Unit tests for Rayleigh Distribution by @mahausmani in #65
• Unit tests for Truncated Power Law Distribution by @mahausmani in #64
• Unit tests for Pareto Distribution by @mahausmani in #66
• unit tests for lognormal distribution by @Qazalbash in #71
• Unit test for Boltzmann distribution by @Qazalbash in #70
• Unit tests for exponential distribution by @Qazalbash in #68
• Unit tests for Weibull distribution by @Qazalbash in #67

New Contributors

• @Qazalbash made their first contribution in #20
• @mahausmani made their first contribution in #55

Full Changelog: v0.0.4...v0.0.5

jaxampler-v0.0.4

The main changes are to modify the samplers for multivariate pdfs and allow shaped arrays to be passed as arguments to rvs.

What's change

• Change in accept reject sampler to sample multivariate distribution by @Qazalbash #9
• Change the design of rvs and the return type by @Qazalbash #10
• Broadcast arrays added by @Qazalbash #11

Full Changelog: v0.0.3...v0.0.4

jaxampler-v0.0.3

First release for automatic publication to pypi.

Full Changelog: v0.0.2...v0.0.3