Ml4gw

Latest version: v0.7.4

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0.6.2

What's Changed
* Directly restrict `scipy` in tox when running unit tests due to deprecation

Bug fixes
* Fixed discrepancy between torch and LAL IMRPhenomPv2 implementations 176
* Fixed bug when using batched inputs to IMRPhenomPV2 181

0.6.1

What's Changed
• Fix bug in fmaxCalc of PhenomD which was causing nans 172
• Add more robust waveform tests 172
• Adds conversion function for chirp mass and mass ratio to component masses 173


**Full Changelog**: https://github.com/ML4GW/ml4gw/compare/v0.6.0...v0.6.1

0.6.0

What's Changed
- Adds spline interpolation transform 157
- Standardizes IMRPhenomP and PhenomD API 167
- Adds option to regularize standard scaler 166
- Adds function for converting from bilby to lalsimulation spin parameters 168
- Refactors `waveforms` module, adding `cbc` and `adhoc` submodules 168

Bug Fixes
- Fixes bug when performing spectral density estimation with odd outputs 165

0.5.1

What's Changed
* Constrained `scipy` to `>=1.9` to avoid bug in median calculation in https://github.com/ML4GW/ml4gw/pull/154
* Switch type-checking library from `torchtyping` to `jaxtyping` in https://github.com/ML4GW/ml4gw/pull/153
* Add support for Python 3.12 in https://github.com/ML4GW/ml4gw/pull/156

**Full Changelog**: https://github.com/ML4GW/ml4gw/compare/v0.5.0...v0.5.1

0.5.0

What's Changed


- Added KAGRA as detector 132
- Added `IMRPhenomP` implementation 138
- `SineGaussian` returns polarizations in `dtype` of passed parameters 139
- Refactored `TaylorF2` and `IMRPhenomD` into `torch.nn.Modules` 137
- Added dimensionality check to `GroupNorm1D` 134

Bug Fixes
- Fixed typehints in `ml4gw.distributions` module 129
- `numpy` version restricted to `<2.0.0` 145

**Full Changelog**: https://github.com/ML4GW/ml4gw/compare/v0.4.2...v0.5.0

0.4.2

- `InMemoryDataset` now inherits from `torch.utils.data.IterableDataset` for compatibility with `torch.utils.data.Dataloader` 119
- `ml4gw.distributions` now inherit from torch.distributions module
Bug Fixes
- Fixed deprecation warning for use of `torch.Tensor.T` in `ml4gw.waveforms.IMRPhenomD` 114

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