v0.0.12: misc updates (version fixes and claude md)

see #17

v0.0.11: bootstrapping

See #16 for details.

v0.0.10: update python version

update python verion (#15)

v0.0.9: binary treatment & survival loss

Adds example of binary treatment and (exponential) survival loss , including censorship.

adds loss functions, dataset simulation, and a notebook example run.

v0.0.8: add exponential loss; add causal loss metric for early stopping/monitoring

See #13

v0.0.7: update dependencies (pypress) and python upgrade

See #12 for details.

v0.0.6: support for non-binary treatment

Update pypsps to support non-binary treatment and generic outcome handling.

in particular, allows users to specify any y_pred and y_true for outcome and treatment, as long as it fits into k columns in the overall y_true and y_pred of the inputs/outputs of a pypsps model.

v0.0.5

• fix relative imports
• add default loss functions

v0.0.4 - configurable model architecture, support any distribution loss

• more than just toy model architecture supported for binary treatment and normal distribution outcome
• allows for any distribution based loss function as outcome loss using tfp/distributions
• misc cleanup and unit test updates

v0.0.3 - poetry package mgmt; workflows

• changed to poetry package mgmt
• added python Github workflows for PRs