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Fix JAX warnings in tests#306

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Commits on Sep 7, 2022

• prebuilds setup (#68)

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• refactor imports (#69)

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Commits on Sep 8, 2022

• fix unitary case in prior from trace (#67)

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Commits on Sep 9, 2022

• Add wrapper for running blackjax pathfinder (#72)

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Commits on Sep 10, 2022

• Revert "Add wrapper for running blackjax pathfinder (#72)" (#78)

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• remove bart (#75)

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Commits on Sep 13, 2022

• Added model_builder as directed in PR #6023 on pymc (#64)

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• Add wrapper for running blackjax pathfinder.

  

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Commits on Sep 28, 2022

• Add Genextreme distribution (#84)

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Commits on Oct 1, 2022

• Implementing linear conjugate gradients (#62)

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Commits on Oct 5, 2022

• Add license to file header (#86)

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Commits on Oct 22, 2022

• added predict_posterior (#90)

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Commits on Oct 24, 2022

• Initial commit of pivoted Cholesky algorithm from GPyTorch (#63)

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Commits on Nov 15, 2022

• Remove python-specific conda environments

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• Update PyMC dependency

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Commits on Nov 21, 2022

• Make xhistogram dependency optional (#92)

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Commits on Nov 25, 2022

• Update PyMC dependency

  

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• Add pytest slow mark

  

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• Automatic logp marginalization of finite discrete variables

  

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Commits on Dec 15, 2022

• Fix package name in setup.py

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• Update PyMC dependency

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• Update warning for transformed variables that depend on marginalized variable

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Commits on Feb 7, 2023

• Update index.rst (#106)

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Commits on Feb 15, 2023

• Updated load method in ModelBuilder (#104)

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Commits on Feb 16, 2023

• Bump version to 0.0.2.

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Commits on Feb 17, 2023

• changed id of model_builder to property, added type hinting (#110)

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Commits on Mar 5, 2023

• Model builder tests (#114)

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Commits on Mar 28, 2023

• storing model_config and sampler_config changed to json string

  

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Commits on Mar 30, 2023

• Rename environments

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• Temporarily install pymc via pip

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• Fix isinstance check in `test_predict`

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• Update API reference listings (#105)

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• Seed flaky test

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• Fix PyMC API change

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• Model Builder refactoring (#131)

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• release preparation (#134)

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• Remove HSGP as it became a part of PyMC (#136)

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Commits on Apr 12, 2023

• Make pytest fail on uncaught warnings (#133)

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Commits on Apr 19, 2023

• Add `build_model` abstractmethod to `ModelBuilder` (#142)

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Commits on Apr 20, 2023

• Return posterior predictive samples from all chains in `ModelBuilder` (#140)

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• removed unused *args from fit, added named args to sampler_config

  

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• docstrings update in model_builder.py (#148)

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• Add DiscreteMarkovChain distribution (#100)

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• updating api_reference.rst (#150)

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Commits on Apr 24, 2023

• Automate pypi release (#135)

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Commits on Apr 27, 2023

• fixed test failing due to infinite precision requirement (#153)

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Commits on Apr 28, 2023

• Tweak README.md

  

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• adding codecov badge

  

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• Skip GenExtreme logcdf test on float32 and Windows

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• Fix unused expression in test_pathfinder

  

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• doctest setup with solved merge conflicts

  

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• doctest setup with solved merge conflicts

  

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• Add GeneralizedPoisson distribution

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• replacing versioneer (#164)

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• PoC for model_builder to work with scikit-learn. (#161)

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Commits on May 11, 2023

• fixing broken docs reference (#166)

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Commits on May 22, 2023

• Implement utility to convert Model to and from FunctionGraph

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• Return memo dictionary in `fgraph_from_model`

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Commits on May 24, 2023

• add default to argument (#93)

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Commits on May 25, 2023

• Add r2m2d2cp prior (#137)

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Commits on May 26, 2023

• Merging BayesianEstimator into ModelBuilder (#165)

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• version change

  

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• Version change (#172)

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• replacing slicing in git actions with python slicing (#173)

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• new version to release the pypi release CI/CD (#175)

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• adjusting test pypi publish (#176)

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• pre-release change (#177)

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Commits on May 30, 2023

• Fix docstrings code-block

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• Fix type-hint

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Commits on Jun 2, 2023

• Bump PyMC dependency

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• Pass kwargs through to pymc sample calls

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• Make fgraph Deterministic conversion logic more robust

  

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• Allow inlining of Deterministics and Data in fgraph IR

  

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• Implement observe and do model transformations

  

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• Add option to prune variables after do intervention

  

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• model_builder adaptations for full sklearn compatibility

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• replacing standard_scaler_df with sklearn_config

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• adapting linearmodel and it's tests to use sklearn-only approach

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• making y optional, adding fitted model fixture to make tests more efficient

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• version changed to 0.0.6

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• Update to pymc 5.5.0 (#191)

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• version bump (#193)

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• Added seeding to draws in tests (#195)

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• Refactor modelbuilder fit (#198)

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• Implement limit case of R2D2M2CP for P (#182)

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• Revert "Refactor modelbuilder fit (#198)" (#200)

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• rename missing to unobserved in test

  

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• bump versions in requirements

  

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• Fix math in sigma attachment (#207)

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• ModelBuilder.load versatility improvements (#210)

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• arviz group warning suppressed (#214)

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• version bump (#215)

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• Fix bug in model_fgraph where RNGs weren't being copied as advertised

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• fixing second loading issue (#220)

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• adding test for model_config_formatter helper function (#222)

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• version bump for release (#223)

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• Ignore constant shape dependencies in MarginalModel

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• Implement utility to change value variable transforms

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• Fixing docstring (#228)

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• Allow do interventions to reference intervened variable

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• Merge statespace module from http://github.com/jessegrabowski/pymc_statespace (#174)

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• version bump (#233)

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• test_fit_no_y to use tune=1, draws=1 (#234)

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• Change default_*_config from @property to @staticmethod (#235)

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• Bump minimum PyMC dependency

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• Bump version 0.0.11 -> 0.0.12

  

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• Temporarily ignore `DepreciationWarning` raised by `test_pathfinder`

  

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• Fix CI errors in statspace test suite (#251)

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• Fix DiscreteMarkovChain logp

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• Fix pathfinder wrapper

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• Implement Chi distribution helper

  

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• Bump version

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• Implement Skellam distribution (#260)

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• Fix pymc module usage in KL

  

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• Implement Maxwell Distribution (#261)

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• Set data when building Linearmodel (#249)

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• Blackjax SMC from pymc models (#267)

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• Add `@as_model` decorator (#268)

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• Bump version to 0.0.14 (#270)

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• Bump PyMC minimum version requirement

  

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• Bump version to 0.0.15

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• Fix testing and remove warnings for r2d2m2cp (#284)

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• Variationally Informed Parameterization (#276)

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• Pass coords argument into model factory (#282)

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• Bugfixes for `statespace/models/structural.py` (#287)

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• Fix initial state size in CycleComponent (#288)

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• Implement utility to recover marginalized variables from `MarginalModel` (#285)

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• Add reference for VIP

  

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• Remove use of treedict, addresses #291

  

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Commits on Jan 3, 2024

• Update version.txt

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Commits on Jan 7, 2024

• Use model variables named "sigma" as standard deviations rather than variances (#296)

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Commits on Jan 23, 2024

• [pre-commit.ci] pre-commit autoupdate

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• [pre-commit.ci] auto fixes from pre-commit.com hooks

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Commits on Feb 6, 2024

• [pre-commit.ci] pre-commit autoupdate

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Commits on Feb 10, 2024

• Fix MarginalModel with Data containers

  ricardoV94

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Commits on Feb 11, 2024

• Call `pm.sample` with `chains=1` to avoid JAX warning

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