Bug Fixes * handle corner case of `eta=0.25` giving `nan` in `phenom_d`
0.3.0
Feature additions - `augmentations` module that adds `SignalInverter` and `SignalReverser` modules - `dataloading.ChunkedTimeSeriesDataset` replaces `dataloading.ChunkLoader` - `dataloading.Hdf5TimeSeriesDataset` for loading directly from `hdf5` files on disk - `ShiftedPearsonCorrelation` transform - New `nn` submodule that contains: * `autoencoder` library for building arbitrary autoencoder structures * `streaming` library that contains `Snapshotter` and `OnlineAverager` modules for IaaS deployment - Torch implementations of TaylorF2 and PhenomD waveforms
Deprecations - `dataloading..ChunkLoader` removed in favor of `dataloading.ChunkedTimeSeriesDataset`
0.2.0
Feature additions - `waveforms` module for generating gravitational wave polarizations from source parameters - `whiten` function and `Whiten` module for performing time-domain whitening using arbitrary background data - `ChunkedDataloader` for loading time domain strain data from disk on-the-fly during training - Modularizing `RandomWaveformInjector` into more functional submodules: - `gw.compute_observed_strain` wrapped into `WaveformProjector` module - `SnrRescaler` module for rescaling waveform amplitudes to achieve target SNR values - `InterferometerGeometry` module encoding interferometer properties locally without having to rely on `gwpy`
Deprecations - `spectral.normalize_psd` removed in favor of enforcing use of torch Tensors during transform fitting - `gwpy` dependency removed