Releases: simslab/scHPF
Releases · simslab/scHPF
0.3.0-alpha
- Refactor so loss can be an arbitrary function
- Fix bugs in and expand options for projetion
- prep-like CLI to prepare data for projection onto a trained model
- cellscore fraction file for score CLI
- Verbose option for load_txt
- Update options for validation cells & selection
- Version as an object attribute
- Handle change in scipy API
- new GENCODE files
- (feature request) options to specify a and c from the train CLI
- Documentation with ReadTheDocs
v0.2.4-alpha
Emergency patch preprocessing error for loom files. Also fixed an errant test. Not really enough to justify a new release but fixed a pretty irritating/embarrassing error.
v0.2.3-alpha: Merge pull request #5 from simslab/dev
- Emergency fix no split on dot error
- Max pairwise table + default max pairwise in score
- Note about ld.so error
- Fix max pairwise second greatest bug
- Some integration tests
v0.2.2-alpha
from dev pull request:
- partial test suite
- max pairwise method
- faster preprocessing of large text files
- refactor preprocessing and training control flow out of CLI
- move load and save methods outside of scHPF object
- message_function now checkstep_function in scHPF._fit
v0.2.1-alpha
- Slight speedup during inference (for Xphi calculation)
- Fix bug (occurred first in 0.2.0-alpha) genes in whitespace-delim input to prep that have no counts anywhere causes shape mismatches
v0.2.0-alpha
Numba implementation with scikit-learn-like API
v0.1-alpha
Tensorflow implementation