This repository has been archived by the owner on May 26, 2024. It is now read-only.
Releases: poypoyan/edhsmm
Releases · poypoyan/edhsmm
v0.2.3
Changes:
- Added citation comments (#19)
- Put the RNG (
self.rng
) in HSMM class constructor (#17). This fixed a bug whereinsample()
with specifiedrandom_state
has the same output every time it is run.
This is the final release before I archive this repository for good. The above fixes are just for making the code easier to read for reference. Hope this project helped you in any way, but I have to move on and leave this in my mind.
poypoyan
v0.2.2
Changes:
- Support for parallelism with Joblib: All methods now return something. For
fit()
, it returnsself
, the fitted model. - There is a new attribute called "name". This is used in displayed messages for monitoring. This is helpful when models are run in parallel.
v0.2.1
Changes:
- Left-censoring implemented. WARNING: experimental.
- Made the repo more "venv-friendly" for testing.
- Parameter
rnd_state
changed torandom_state
. - PEP8 blank lines.
- Renamed variables related to log-likelihood.
I deleted v0.2.0 because of the above renaming of variables.
I may now leave this project for now.
v0.1.3
Changes:
- Removed all usage of
ndarray.resize
, and do pre-allocation instead. This is good practice. - In
iter_from_X_length()
fromhsmm_utils.py
, raise error ifend[-1] != n_samples
. This is more general than before, which is justend[-1] > n_samples
. - Removed stray spaces.