v1.3.3

Fixed dependence on deprecated tensorflow.keras.__version__ that caused EFNs and PFNs to be unimportable.

Fixed dependence on deprecated np.int.

Moved default dataset pointers to more stable Zenodo links.

v1.3.2

1.3.2

• Fixed typo in MODDataset code that caused abs_gen_jet_y and abs_get_jet_eta to be invalid selectors.
• Added mass option to ptyphims_from_p4s to mirror ptyphims_from_pjs.

v1.3.0

• EMD module now uses Wasserstein package for optimal transport computations by default. This should yield some speed and stability improvements while being mostly transparent to the user.
• EMD Demo updated to use Wasserstein package for EMD computation and correlation dimension calculation.
• remap_pids now works on arrays of events (rather than arrays of padded events only.)

v1.2.0

• Keras is now imported via Tensorflow.
• Added the ability to concatenate global features directly into the F funciton of an EFN/PFN model. See the num_global_features option of the EFN/PFN models.
• In list of tensors in EFN/PFN models, changed how input tensors are listed in order to produce a flattened list.
• Modified internals so that DNN and EFN/PFN models use the same code to construct fully-connected network fragments.

v1.1.3

• Added phi_ref option to ptyphims_from_pjs.
• Simplified pjs_from_ptyphims to use fastjet.PtYPhiM.
• Simplified multiprocessing usage to avoid setting global start context when trying to use fork.
• Added EFN regression example.

v1.1.2

• Remove extraneous warning from setting multiprocessing start method on OSX.

v1.1.1

• Try to set multiprocessing start method to 'fork' in order for EMD multicore functionality to work, warn if the context has already been set otherwise.

v1.1.0

• Changed default EFP behavior when kappa≠1 and added option to revert to original behavior if desired. See the EFP Measures page for more details.
• Explicitly cast some numpy arrays as object arrays to avoid deprecation warnings.
• Cached EFP file info after the first time it is accessed to improve speed.
• Added Python 3.8 to Travis CI testing.
• Deployment to PyPI via Travis CI.

v1.0.3

• Increased the speed of pjs_from_ptyphims.
• Channels now default to the last axis for images to accomodate the limitations of newer versions of Keras/Tensorflow.
• pixelate, standardize, zero_center functions now designed to work with channels_last.
• Added EMD animation example.

v1.0.2

• Added ptyphims_from_pjs function in fastjet_utils.
• Removed eroneous print statement in D2 when using strassen.