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Description
- parametrize coefficients
- handle constraints
- make github repo
- add syntactic sugar for constraints
- implement block gibbs
- pairwise / quadratic / cross terms
- ingest tsv file in example.py (fritz)
- move to HMC (fritz)
- port notebook pipeline to scripts
- add helpers to specify and validate initial data
{"sequences": _, "batch_id": _, "response": _}
- add some unit tests (fritz)
- wrap things up in higher-level components with validation logic (fritz)
- e.g. wrap
thompson_sample()inget_next_batch()
- e.g. wrap
- improve README.md (fritz)
- improve docstrings (fritz)
- add tf8 plots to README (martin)
- make tf8 example reproducible, add plots (martin)
- make observation model configurable
- currently a quantized response model
- maybe add a couple options specified by string?
- extend model language to include user-provided features
- rename
FEATUREStoGROUPSorFEATURE_BLOCKS? - continuous-valued embeddings
- cluster ids
- rename
- model criticism (martin)
- assess model fit, heldout error, find outliers
- explore which features are active (rank or visualize?)
- warnings and errors
- warn if GIBBS_BLOCKS or FEATURE_BLOCKS are too large
- print number of parameters and the user-facing code that led to the most parameters
- choose better hyperparameter priors
- support coefficient sparsity (fritz)
- allow Laplace priors for coefficients (probably default to this)
- use different scale parameters for single vs pairwise coefficients
martinjankowiakmartinjankowiakmartinjankowiak
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