Broadens mixle from a composable statistical-modeling library into a runtime for heterogeneous modeling, local reasoning, and auditable deployment. The stable center remains the distribution/estimator contract and optimize.
Highlights:
- Local reasoning runtime (
mixle.substrate): retrieval, multi-hop reasoning, grounding/factuality, and governance around fitted models. - Telemetry surfaces and production placement/reproducibility helpers in
mixle.inference. - Constructible neural-density families:
VAE,Flow,MAF,DiscreteAR(no build_* + adapter double-wrap). - Broader knowledge distillation (response/dark-knowledge, multi-teacher, hint/FitNets, attention-transfer, relational, sequence-level).
- Correctness fixes: neural / DPO / StreamingTransformer accumulators now honor per-item weights; registry paths constrained to the store root; structure-search estimator cloning uses deepcopy instead of eval.
See the "What Is New In 0.6.2" guide in the docs for the full map.