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· 997 commits to master since this release
v0.11.5
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MLJ v0.11.5

Diff since v0.11.4

Closed issues:

  • computing UnivariateFinite matrix seems to be substantially slow (#511)
  • AMES tutorial doesn't work (UndefVarError) if ScikitLearn.jl or StatsBase.jl are loaded (#534)
  • DimensionMismatch in evaluate() (#540)
  • Hyperparameter tuning of KNN classifier (#543)
  • Decision trees from ScikitLearn.jl not available (#545)
  • Export supports_weights() and prediction_type() (#547)
  • Testing for type of values in a range too restrictive (#548)
  • SVC won't tune cost (#551)
  • Implementation of Tversky Loss (#554)
  • Fix broken MLJ logo in the manual (MLJ github pages) (#555)
  • Add configuration options for RandomForestClassifier.n_subfeatures that depend on the data size (#557)
  • Change DecisionTree.jl n_subfeatures default to -1 for random forest classifier and regressor (#558)
  • Tutorial link in Getting Started doesn't link to right spot (#560)
  • Old documentation deployed on github pages (#561)
  • Document how to load models without the @load macro (#562)
  • Request for monte-carlo cross validation (#564)
  • Loading SKLearn packages causes Julia to crash (#565)

Merged pull requests:

Assets 2