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v0.10.0

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**Merged pull requests:**
- first pass at Gramian training for OLS (#146) (@adienes)
- Minor release with Gramian training for OLS (#151) (@tlienart)

**Closed issues:**
- should scale_penalty_with_samples = true be defualt? (#149)

v0.9.2

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**Closed issues:**
- Improve documentation around available solvers (#78)
- Testing quantreg vs MLJLinearModels (#147)

**Merged pull requests:**
- Fix a doc typo (#144) (@ablaom)
- Fixes for quantile regression (#148) (@tlienart)

v0.9.1

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**Closed issues:**
- Help with documentation review (#136)

**Merged pull requests:**
- Create MLJ compliant doc strings (#138) (@ablaom)
- Fix MLJ docstrings (#141) (@ablaom)

v0.9.0

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**Merged pull requests:**
- Optim defaults doc (#139) (@olivierlabayle)

v0.8.1

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**Merged pull requests:**
- more flexible optim options (#133) (@jbrea)
- docs for new options in Optim solvers (#134) (@jbrea)
- Some minor doc improvements (#137) (@ablaom)

v0.8.0

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- (**breaking**) Change the default value of the regularisation parameter `lambda` in `LogisticClassifier` from `1.0` to `eps()` (#131)

**Closed issues:**
- Unexpected behaviour with LogisticClassifier (#131)

**Merged pull requests:**
- For a 0.8.0 release (#132) (@ablaom)

v0.7.1

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**Closed issues:**
- `predict` throws an error for `MultinomialClassifier` on crabs dataset (#129)

**Merged pull requests:**
- closes #129 by fixing the interface after #123 (#130) (@tlienart)

v0.7.0

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[Diff since v0.6.5](v0.6.5...v0.7.0)

**Closed issues:**
- TagBot not working (#126)

v0.6.5

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[Diff since v0.6.2](v0.6.2...v0.6.5)

**Closed issues:**
- Multinomial regressor requires integer categories, and greater than zero (#58)
- Bug: LassoRegressor from MLJLinearModels returns null vector but the one from ScikitLearn does not (#81)
- Documentation generation is failing (#116)
- `LogisticClassifier` lambda and gamma are easy to confuse (#122)
- Problems when only one class manifest in the training target (#123)
- What is the new scale_penalty_with_samples=true doing? (#124)

**Merged pull requests:**
- Extend  compat for DocStringExtensions and relax test (#119) (@ablaom)
- For a 0.6.2 release (#120) (@ablaom)
- Clarify `LogisticClassifier.lambda` docstring (#121) (@rikhuijzer)
- closes #123 (#125) (@tlienart)

v0.6.4

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[Diff since v0.6.2](v0.6.2...v0.6.4)

**Closed issues:**
- Multinomial regressor requires integer categories, and greater than zero (#58)
- Bug: LassoRegressor from MLJLinearModels returns null vector but the one from ScikitLearn does not (#81)
- Documentation generation is failing (#116)
- `LogisticClassifier` lambda and gamma are easy to confuse (#122)

**Merged pull requests:**
- Extend  compat for DocStringExtensions and relax test (#119) (@ablaom)
- For a 0.6.2 release (#120) (@ablaom)
- Clarify `LogisticClassifier.lambda` docstring (#121) (@rikhuijzer)
- closes #123 (#125) (@tlienart)
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