lnccbrown / lnccbrown/HSSM

add MAP /MLE functions

Open
#1,102 1 comment 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
124
Forks
24
Avg merge
19h 32m
Merged PRs (30d)
60

Description

Would be good to provide users the opportunity to fit MAP() or MLE to datasets using HSSM -- based on PyMC's findMAP(). This will allow for fast debugging and cheap estimation if they don't want to be fully bayesian (or to compare).

Contributor guide

Open the contributing guide

Research direction

Start by reviewing HSSM's existing fitting interface and PyMC's findMAP() behavior. Define how MAP and MLE fitting should accept datasets and how results should support debugging, inexpensive estimation, and comparison with fully Bayesian fitting; the issue names no files or tests, so the expected API and validation still need clarification.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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