v0.12.1

MLJ v0.12.1

Diff since v0.12.0

Closed issues:

• Should some if any "classic" ML algorithms accepts matrix input in addition to table input? (#209)
• Dataset generation for model inspection (#214)
• Coerce fails when a column has type Vector{Missing} (#549)
• OpenML integration: Columns as Symbols (#579)
• Issue to generate new releases (#583)
• Something not right with the Binder project file? (#587)
• range(pipeEvoTreeClassifier, :(selector.features), values = cases): ArgumentError: values does not have an appropriate type. (#590)
• fitted_params(LogisticModel): linear_binary_classifier = Any[] (#597)
• Problem fetching spawned @pipeline processes (#598)
• LogisticModel: pdf(ŷ[i], 1) does not work after the last release (#599)
• Improve error message for non-functions in @pipeline ... operation=... (#600)
• unable to use predict_mode() on machine associated with pipeline since MLJ 0.12.0 release (#601)
• Unable to use functions predict(), predict_mode() (#602)
• In the latest version, how do we do range(pipeXGBoostRegressor, :(xgr.max_depth), lower=3, upper=10) ? (#603)
• Add section on creating synthetic data to the manual (#604)
• Documentation for adding models: Discourage fields with type Union{Nothing,T} where T<:Real (#606)
• ERROR: LoadError: BoundsError: pkg = DecisionTree (#607)
• Old @from_network syntax still in docs (#608)
• Can't use @load inside a package (#613)
• max_samples parameter for RamdomForestClassifier (#619)
• Ambiguous assignment in soft scope on Julia 1.5 and Julia 1.6 (#624)
• inverse_transform of a PCA (#625)
• potential bug in MLJBase.roc_curve (#630)
• MLJ 0.12.0 doesn't work with Julia 1.5.0 (Windows) (#631)
• Meta-issue: Add the JointProbabilistic supervised model type (#633)

Merged pull requests:

• links to mybinder.org added (#585) (@darenasc)
• Add binder links in readme and documentation (#586) (@ablaom)
• binder option (#589) (@darenasc)
• Sanitize filename of workflows_learning_curves.png to fix git checkouts on Windows (#595) (@Sh4pe)
• Binder with instantiate (#596) (@ablaom)
• Minor readme figure changes (not for new release) (#609) (@ablaom)
• Binder change. Not for new release (#610) (@ablaom)
• Binder again (#611) (@ablaom)
• Dump JIT demo from binder for now (only works in regular notebook) (#612) (@ablaom)
• paper.md edit . No release (#614) (@ablaom)
• switch to new @from_network synthax in docs (#615) (@OkonSamuel)
• Add arXiv version 1 of paper. No release (#617) (@ablaom)
• Update links to arXiv version 1 of paper. No release (#618) (@ablaom)
• Add links to JuliaCon 2020 workshop. No release. (#623) (@ablaom)
• Add Generating Synthetic Data section to manual (#626) (@ablaom)
• Manual updates. No new release. (#627) (@ablaom)
• fix readme links for manual. no release (#629) (@ablaom)
• corrected wrong method signatures in docs (#635) (@OkonSamuel)
• Doc fixes. No release. (#638) (@ablaom)
• Discourage Union types for fields (#639) (@ablaom)
• Doc fixes. No release (#640) (@ablaom)
• Create the "PullRequestBaseBranch" GitHub Action (#643) (@DilumAluthge)
• Install CompatHelper on this repository (#644) (@DilumAluthge)
• New GitHub action. No new release. (#645) (@ablaom)
• Export JointProbabilistic and predict_joint (#646) (@DilumAluthge)
• For a 0.12.1 release (#647) (@ablaom)