[Diff since v1.0.0](v1.0.0...v1.0.1)

**Merged pull requests:**
- Fix doc horizontal banner (#49) (@ablaom)
- Fix an incorrect claim in the `FiniteIterable` doc-string (#50) (@ablaom)
- For a 1.0.1 release (#51) (@ablaom)

**Closed issues:**
- Discussion: `ingest!` and `update!` (#13)

[Diff since v0.2.0](v0.2.0...v1.0.0)

This release contains no breaking changes, only final documentation polish, including integration of the newly released packages:

- [LearnTestAPI.jl](https://github.com/JuliaAI/LearnTestAPI.jl)

-  [LearnDataFrontEnds.jl](https://juliaai.github.io/LearnDataFrontEnds.jl/stable/).

**Merged pull requests:**
- Final documentation polish for version 1.0 (#47) (@ablaom)
- For a 1.0 release 🎉 (#48) (@ablaom)

[Diff since v0.1.0](v0.1.0...v0.2.0)

This is a major, breaking rewrite of the original tentative "proposal" represented by 0.1.0, which was never intended for widespread adoption. Noteworthy change affecting StatisticalMeasures.jl and StatisticalMeasuresBase.jl:

- (**breaking**) `LiteralTarget` has been renamed `Point`.

**Merged pull requests:**
- Major refactor based on Julia Discourse feedback (#25) (@ablaom)
- Fix documentation generation (#26) (@ablaom)
- fix issue with predict_output_type (#28) (@ablaom)
- Major revision to simplify; in particular, to remove `obsfit`, `obspredict`, `obstransform` (#30) (@ablaom)
- Add a perceptron classifier to examples (#31) (@ablaom)
- Add an observation-updatable density estimator to tests (#32) (@ablaom)
- improve coverage (#33) (@ablaom)
- Coverage upgrade (#34) (@ablaom)
- Remove data slurping fallbacks (#35) (@ablaom)
- doc and test tweaks (#36) (@ablaom)
- add test (#37) (@ablaom)
- Use "learner" instead of "algorithm" in docs and in variable names (#38) (@ablaom)
- Remove testing of patterns (#40) (@ablaom)
- Fix links to sample patterns (#41) (@ablaom)
- Add a global default verbosity (#42) (@ablaom)
- Fix doc link (#43) (@ablaom)
- Update docs. No new release (#44) (@ablaom)
- For a 0.2.0 release (#45) (@ablaom)

**Closed issues:**
- Don't use "model" to describe hyperparameter struct. (#12)
- Accounting for data objects that only iterate  (#15)
- Add `fit_transform`? (#18)
- Add a user-changeable global variable for default verbosity (#20)
- Add link to discussion in julia discourse regarding what to call learning algorithm configuration structs. (#21)
- Add new KindOfProxy: LabelAmbiguousFuzzy (#29)
- adopt getobs/numobs? (#39)

**Closed issues:**

- Allow multiple target proxy support with `predict` dispatching on the proxy. (#14)

**Merged pull requests:**
- Trigger doc generation (#1) (@ablaom)
- More docs (#2) (@ablaom)
- Dummy commit (#3) (@ablaom)
- Try to generate docs again (#4) (@ablaom)
- Try again to generate docs (#5) (@ablaom)
- Update README.md (#6) (@ablaom)
- Finish up traits and optional data interface (#7) (@ablaom)
- Add admonition re terminology to reference section (#8) (@ablaom)
- Typos (#9) (@PallHaraldsson)
- Clarify meaning of `ingest!` versus `update!` (#10) (@ablaom)
- Use "algorithm" instead of "model" and dispatch `predict` on kind of target proxy (#17) (@ablaom)
- For a 0.1.0 release (#22) (@ablaom)