gwkokab-v0.3.1

What's Changed

• feat: add warnings for missing alternate priors in DiscretePELoader by @Qazalbash in #830
• chore: summary table for reference priors by @Qazalbash in #831
• CLI for detailed diagnostics of Numpyro samples by @IamMuhammadZeeshan in #832
• fix: streamline mass matrix validation in FlowMCBased class by @Qazalbash in #835
• feat: add mixture-model probability utilities, HDF5 persistence, HDF5 file tools, and API consistency improvements by @Qazalbash in #840
• refactor: remove redundant reference prior summary by @Qazalbash in #841
• chore: remove sage, genie, and monk nomenclature by @Qazalbash in #842
• chore: improved help description for analyses CLIs by @Qazalbash in #843

Full Changelog: 0.3.0...0.3.1

gwkokab-v0.3.0

What's Changed

• chore: add MCMC summary printing after each chain batch completion by @Qazalbash in #671
• chore: use jax.device_get for sampler resource data retrieval by @Qazalbash in #672
• chore: optimize log probability calculations in poisson_mean_from_sensitivity_injections by @Qazalbash in #673
• chore(gh-454): refactor log likelihood calculations and improve masking in Poisson likelihood functions by @Qazalbash in #674
• chore: refactor probability calculations to use numerically stable log functions and improve truncation handling by @Qazalbash in #675
• chore: refactor inference data handling and MCMC configuration for numpyro backend by @Qazalbash in #676
• feat: implement BlockTransform for block-separable transformations with independent sub-transforms by @Qazalbash in #677
• feat(gh-580): add transformations for redshift to luminosity distance and its inverse by @Qazalbash in #678
• feat(gh-602): enhance bucketing logic in pad_and_stack and improve loss calculations in jenks module by @Qazalbash in #679
• refactor: convert PLANCK cosmology constants to functions for reduced latency upon initialization of modules by @Qazalbash in #680
• feat(gh-135, gh-635): add MadauDickinsonRedshift distribution by @Qazalbash in #681
• feat: implement dynamic versioning with git commit hash for nightly builds by @Qazalbash in #682
• fix: increase batch size for variance computation and apply JIT compilation by @Qazalbash in #683
• chore(deps): bump actions/setup-python from 6.0.0 to 6.1.0 by @dependabot[bot] in #685
• chore(deps): bump actions/checkout from 5 to 6 by @dependabot[bot] in #684
• fix: correction in usage of condition_matrix in Hamiltonian Monte Carlo by flowMC by @Qazalbash in #686
• feat: add gwk_diag_mass_matrix script for computing diagonal mass matrix from pilot-run samples by @Qazalbash in #688
• feat(gh-135): add BrokenPowerlaw, NBrokenPowerlawMGaussian, and MinimumTiltModelExtended by @Qazalbash in #687
• refactor: add constant parameters to likelihood functions and refactor model parameter classification by @Qazalbash in #691
• feat: add gwk_flowMC_info script for FlowMC configuration analysis and visualization by @Qazalbash in #692
• refactor(gh-454): optimize likelihood to consume less memory for feasible points by @Qazalbash in #693
• chore: remove extra license from cosmology module by @Qazalbash in #698
• streamline generic pipelines and introduce unified mixture models by @Qazalbash in #701
• refactor(gh-690): rename two truncated gaussian mixture parameters by @Qazalbash in #703
• feat(gh-135, gh-690): mixture of two truncated normal distribution as spin model by @Qazalbash in #705
• feat(gh-135): skew normal model for effective spin by @Qazalbash in #708
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in #711
• chore: move all scripts from src/cli_gwkokab to src/scripts by @Qazalbash in #719
• ci: replacing pre-commit with prek by @Qazalbash in #720
• ci: simplify CI triggers and remove Python 3.12 from matrix by @Qazalbash in #725
• New Models for spins along with internal restructuring and refactoring by @Qazalbash in #728
• fix: adhere with NumPyro 0.20.0 by @Qazalbash in #730
• chore(deps): bump actions/setup-go from 5 to 6 by @dependabot[bot] in #734
• chore(deps): bump actions/setup-python from 6.1.0 to 6.2.0 by @dependabot[bot] in #733
• fix(gh-739): add optax dependency with version constraint by @Qazalbash in #740
• ci: only install required pacakge groups by @Qazalbash in #752
• fix: change in URLs in adherence to the recent change in the organization's name/username by @Qazalbash in #772
• chore(deps): bump j178/prek-action from 1 to 2 by @dependabot[bot] in #783
• chore(deps): update optax requirement from <0.2.7 to <0.2.9 by @dependabot[bot] in #784
• Refactor GWKokab Data Pipeline and Extend Population Inference Capabilities by @Qazalbash in #818
• chore: rename gwkanal to gwkokab/analysis by @Qazalbash in #829

Full Changelog: 0.2.1...0.3.0

gwkokab-v0.2.1

What's Changed

• refactor(gh-614): logging into a log file by @Qazalbash in #622
• refactor: poisson mean and its API by @Qazalbash in #623
• refactor(gh-601): move gwkokab.population module to kokab.core.population module by @Qazalbash in #624
• refactor: move essentials modules in kokab to core module by @Qazalbash in #625
• chore(deps): bump actions/setup-python from 5.6.0 to 6.0.0 by @dependabot[bot] in #629
• refactor(gh-628): replace hardcoded names with standard parameter names by @Qazalbash in #634
• feat: add option to save weighted samples in _save_data_from_sampler by @Qazalbash in #637
• chore(gh-636): GPU as default accelerator during installation and build routines by @Qazalbash in #640
• feat: integrate until MCMC threshold error and variational inference for matching mean by @Qazalbash in #631
• chore: segregate purely mass models and hybrid models by @Qazalbash in #642
• chore(gh-633): removing Bake class from Guru by @Qazalbash in #641
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in #644
• feat(gh-135): HalfNormal distribution for eccentricity in One Powerlaw and Peak model by @Qazalbash in #638
• chore: update contribution guidelines to use uv and make by @Qazalbash in #656
• docs: update installation instructions by @Qazalbash in #657
• chore(deps): bump astral-sh/setup-uv from 6 to 7 by @dependabot[bot] in #662
• chore(deps-dev): update astroid requirement from <4 to <5 by @dependabot[bot] in #661
• Comprehensive Model, Inference, and Training Updates: Lazy Priors, Broken Powerlaw+TwoPeak, Multi-Spin Extensions, and Stable Regressor Improvements by @Qazalbash in #664
• docs(gh-107): update tutorials by @Qazalbash in #659
• feat(gh-639): enabling cuda 13 by @Qazalbash in #665
• feat: save data from numpyro sampler when a chain finishes by @Qazalbash in #667
• refactor(gh-454): profile based optimization of Poisson likelihood for NUTS (NumPyro) sampler by @Qazalbash in #666
• feat: filter samples based on variance of log likelihood by @Qazalbash in #668
• feat(flowMC): implement chain saving functionality during training/production by @Qazalbash in #670

Full Changelog: 0.2.0...0.2.1

gwkokab-v0.2.0

What's Changed

• Rewriting smoothing mass distributions by @Qazalbash in #157
• dept: no more truncated power law model by @Qazalbash in #158
• Mass Gap Model by @Qazalbash in #159
• New model and refactor smoothing mass models by @Qazalbash in #160
• Transforms from component masses to various quantities by @Qazalbash in #161
• Documentation update by @Qazalbash in #162
• Subtitle extended by @Qazalbash in #163
• Typos fixed in parameters by @Qazalbash in #165
• Spin misalignment parameter typo by @Qazalbash in #166
• Welcome Flexible Mixture Model by @Qazalbash in #167
• Contributing guidelines link to docs in README.md by @Qazalbash in #168
• Workflow to auto-update top ranking issues by @Qazalbash in #169
• Fix: Attribute missing in MutliPeakMassModel by @Qazalbash in #170
• Workflows for top ranking issues by @Qazalbash in #171
• Renaming attributes of smoothing mass models by @Qazalbash in #172
• Smoothing model attribute access failure resolved by @Qazalbash in #181
• chore(deps): bump mypy from 1.6.0 to 1.11.1 by @dependabot[bot] in #186
• chore(deps): bump ruff from 0.3.4 to 0.5.6 by @dependabot[bot] in #185
• chore(deps): bump types-pytz from 2023.3.1.1 to 2024.1.0.20240417 by @dependabot[bot] in #184
• chore(deps): bump pytz from 2022.1 to 2024.1 by @dependabot[bot] in #183
• chore(deps): bump typer from 0.9.0 to 0.12.3 by @dependabot[bot] in #182
• Version number imposed on dependencies by @Qazalbash in #187
• Fix transformations names typo by @Qazalbash in #189
• Exp rate without sample method by @Qazalbash in #177
• Top issues update once a day at midnight by @Qazalbash in #190
• Smoothing model typos and uniform space sampling monte carlo approximation by @Qazalbash in #192
• Transformation Jacobians fixed by @Qazalbash in #193
• Gaussian Interval Fix in PowerLawPeak Model by @zeeshan5885 in #194
• Interval of tuncnorm from jax.scipy bug fixed by @Qazalbash in #195
• VT scaling for inference and population generation by @Qazalbash in #196
• Extra files in project binaries and package by @Qazalbash in #200
• chore(deps): bump myst-parser from 3.0.1 to 4.0.0 by @dependabot[bot] in #203
• chore(deps): bump ruff from 0.5.6 to 0.5.7 by @dependabot[bot] in #202
• chore(deps): bump matplotlib from 3.9.0 to 3.9.1.post1 by @dependabot[bot] in #204
• chore(deps): bump setuptools from 72.1.0 to 72.2.0 by @dependabot[bot] in #211
• chore(deps): bump polars from 1.4.1 to 1.5.0 by @dependabot[bot] in #210
• chore(deps): bump matplotlib from 3.9.1.post1 to 3.9.2 by @dependabot[bot] in #209
• chore(deps): bump nbsphinx from 0.9.4 to 0.9.5 by @dependabot[bot] in #208
• chore(deps): bump ruff from 0.5.7 to 0.6.1 by @dependabot[bot] in #207
• Adoption of data frames for inference by @Qazalbash in #206
• chore(deps): bump ruff from 0.6.1 to 0.6.2 by @dependabot[bot] in #214
• chore(deps): bump setuptools from 72.2.0 to 73.0.1 by @dependabot[bot] in #212
• chore(deps): bump typer from 0.12.3 to 0.12.5 by @dependabot[bot] in #215
• chore(deps): bump mypy from 1.11.1 to 1.11.2 by @dependabot[bot] in #217
• Update dependabot cycle by @Qazalbash in #223
• chore(deps): bump pygithub from 2.3.0 to 2.4.0 by @dependabot[bot] in #218
• chore(deps): bump jaxtyping from 0.2.33 to 0.2.34 by @dependabot[bot] in #219
• chore(deps): bump plotly from 5.23.0 to 5.24.0 by @dependabot[bot] in #220
• chore(deps): bump setuptools from 73.0.1 to 74.0.0 by @dependabot[bot] in #221
• chore(deps): bump rich from 13.7.1 to 13.8.0 by @dependabot[bot] in #222
• chore(deps): bump actions/setup-python from 2 to 5 by @dependabot[bot] in #224
• chore(deps): bump pozil/auto-assign-issue from 1 to 2 by @dependabot[bot] in #227
• chore(deps): bump pypa/gh-action-pypi-publish from 1.8.11 to 1.10.0 by @dependabot[bot] in #226
• chore(deps): bump actions/checkout from 2 to 4 by @dependabot[bot] in #225
• Debugging flag and verbose by @Qazalbash in #216
• Update top ranking issue once a week by @Qazalbash in #228
• genie scripts in kokab namespace by @Qazalbash in #201
• Data generation scripts starts with genie_... by @Qazalbash in #230
• Workflow update and optimized by @Qazalbash in #231
• Formated files from ruff 0.6.4 by @Qazalbash in #232
• friendship ended with polars 🐻‍❄️ now pandas 🐼 is my friend by @Qazalbash in #235
• refactor: emoji free issue/pr labels and accordingly updated scripts by @Qazalbash in #236
• refactor: update script paths in pyproject.toml by @Qazalbash in #238
• CodeCov in GWKokab by @Qazalbash in #239
• N PowerLaw M Gaussians with different flavors (Vanila, Spin, Tilt and Spin and Tilt) by @Qazalbash in #240
• breaking: multispin and multisource model depreciated by @Qazalbash in #241
• chore(deps): bump actions/checkout by @Qazalbash in #258
• chore(deps): bump pypi packages versions by @Qazalbash in #259
• sage scripts in kokab namespace by @Qazalbash in #233
• gh-78(dept): Truncated Power Law removed by @Qazalbash in #262
• gh-265: constraint name typo fixed by @Qazalbash in #266
• gh-261: distributions tests from numpyro modified and adjusted for gwkokab by @Qazalbash in #264
• gh-268: remove private _src folder by @Qazalbash in #269
• tests for all constraints in gwkokab by @Qazalbash in #270
• tests for all transforms in GWKokab by @Qazalbash in #271
• gh-272: depreciating unique_interval constraint by @Qazalbash in #273
• Functional use of relevant methods of DoublyTruncatedPowerLaw by NumPyro by @Qazalbash in #274
• gh-275: Different PRNGKeys for different random variates by @Qazalbash in #276
• Globally enable validation for distributions by @Qazalbash in #277
• Sage scripts for PowerLawPrimaryMassRatio (Primary Mass Source and Mass Ratio) by @Qazalbash in #279
• Refactor sage scripts for PowerLawPrimaryMassRatio for Primary Mass Source and Secondary Mass Source by @Qazalbash in #282
• gh-278: Remove CodeCov by @Qazalbash in #281
• gh-263: Handling limiting cases in PowerLawPrimaryMassRatio by @Qazalbash in #284
• gh-260: Required removed from default values in genie and sage scripts by @Qazalbash in #285
• chore(deps): bump actions/setup-python from 2.3.4 to 5.2.0 by @dependabot[bot] in #294
• October Dependent bot updates by @Qazalbash in #297
• Multi rate likelihood with no-nan gradients by @Qazalbash in #299
• gh-298: Raise error if data files are unavailable by @Qazalbash in #300
• gh...

gwkokab-v0.1.0

What's Changed

• Convert primary mass and mass ratio to component masses by @Qazalbash in #124
• Transform for models to handle different coordinates systems by @Qazalbash in #125
• GWKokab Docs by @Qazalbash in #129
• Transforms, constraints and docs by @Qazalbash in #131
• UnnomralizedUniformPrior removed by @Qazalbash in #132
• Depreciates partial constraints by @Qazalbash in #134
• How to train Neural VT? by @Qazalbash in #136
• New API for creating models for data generation by @Qazalbash in #137
• Models with multiple rate by @Qazalbash in #138
• Likelihood method for multi rate models by @Qazalbash in #140
• Population generation for multi-rate models by @Qazalbash in #143
• Abstract module for PyTrees by @Qazalbash in #144
• Revert "Abstract module for PyTrees" by @Qazalbash in #146
• Mulit-rate models, better API for data generation and inference by @Qazalbash in #147
• Error handling in Likelihood and corner plot script modification by @Qazalbash in #149
• mixture of n-power laws and m-gaussians model by @Qazalbash in #150
• Rich progress bar by @Qazalbash in #153
• Bump to 0.1.0 by @Qazalbash in #155

Full Changelog: 0.0.1...0.1.0

gwkokab-v0.0.1

What's Changed

• Wysocki2019MassModel random realization method signature not aligned with JAXampmler by @Qazalbash in #3
• Migrate from setup.py to standard python package builder by @Qazalbash in #18
• Saving injections along with posteriors by @Qazalbash in #23
• Redesign Astrophysical models by @Qazalbash in #27
• Error function for masses by @Qazalbash in #29
• Volume Time calculations from mass and spin by @Qazalbash in #30
• VT Weighting and grid generator by @Qazalbash in #32
• Selection effect on synthetic data using VT file by @Qazalbash in #33
• Rename the project by @Qazalbash in #37
• Fix random population generation and save injections by @Qazalbash in #40
• Apply VT effects on injections and store weighted events by @Qazalbash in #43
• Fix issue with adding errors to injections by @Qazalbash in #44
• Migrating Abstract*Model to numpyro.distribution.Distribution by @Qazalbash in #46
• Versatile sampling distributions and versatile error functions by @Qazalbash in #48
• Documentation by @Qazalbash in #49
• Parameter estimation (Inference) by @Qazalbash in #50
• RTD Docs to MKDocs by @Qazalbash in #60
• Approximation of VT via Neural Network by @Qazalbash in #59
• Automating the inference process by @Qazalbash in #61
• Number of events through expected rate by @Qazalbash in #69
• Equinox based NVT by @Qazalbash in #72
• Extending classes to be PyTrees for better jit compatible compilation by @Qazalbash in #77
• Numerical Inverse Transform Sampling by @Qazalbash in #80
• Standardizing mass model parameters. by @Qazalbash in #84
• New design for population generation by @Qazalbash in #83
• All necessary transformations in intrinsic parameters/coordinates by @Qazalbash in #89
• Parameter class for reference priors by @Qazalbash in #91
• Explicit Public APIs by @Qazalbash in #94
• New design for Log Posteriors class by @Qazalbash in #96
• Improper Jeffery prior for uniform distribution by @Qazalbash in #102
• Unit tests for transformations by @Qazalbash in #105
• Example notebook for data generation by @Qazalbash in #109
• [PR] Hard-coded Coordinates in Mass Models for VT Calculations by @Qazalbash in #111
• Coordinate independent models and types changes by @Qazalbash in #114
• Removing unnecessary abstractions and arguments by @Qazalbash in #117
• Simplification of population generation process by @Qazalbash in #118
• Eccentricity matters data generation by @Qazalbash in #120
• Eccentricity Matters analysis notebook by @Qazalbash in #121

New Contributors

• @Qazalbash made their first contribution in #3

Full Changelog: https://github.com/gwkokab/gwkokab/commits/0.0.1