unable to get the binding for '[`Plots.plot(conf_model::ConformalPrediction.ConformalInterval, fitresult, X, y; kwrgs...)`](@ref)' in src/tutorials/plotting.md from expression ':(Plots.plot(conf_model::ConformalPrediction.ConformalInterval, fitresult, X, y; kwrgs...))' in module ConformalPrediction exception = UndefVarError: `Plots` not defined

unable to get the binding for '[`Plots.bar(conf_model::ConformalPrediction.ConformalModel, fitresult, X; label="", xtickfontsize=6, kwrgs...)`](@ref)' in src/tutorials/plotting.md from expression ':(Plots.bar(conf_model::ConformalPrediction.ConformalModel, fitresult, X; label = "", xtickfontsize = 6, kwrgs...))' in module ConformalPrediction exception = UndefVarError: `Plots` not defined

unable to get the binding for '[`Plots.contourf(conf_model::ConformalPrediction.ConformalProbabilisticSet, fitresult, X, y; kwrgs...)`](@ref)' in src/tutorials/plotting.md from expression ':(Plots.contourf(conf_model::ConformalPrediction.ConformalProbabilisticSet, fitresult, X, y; kwrgs...))' in module ConformalPrediction exception = UndefVarError: `Plots` not defined

unable to get the binding for '[`Plots.bar(conf_model::ConformalPrediction.ConformalModel, fitresult, X; label="", xtickfontsize=6, kwrgs...)`](@ref)' in src/tutorials/plotting.md from expression ':(Plots.bar(conf_model::ConformalPrediction.ConformalModel, fitresult, X; label = "", xtickfontsize = 6, kwrgs...))' in module ConformalPrediction exception = UndefVarError: `Plots` not defined

no doc found for reference '[`JackknifePlusABMinMaxRegressor`](@ref)' in src/reference.md.

no doc found for reference '[`TimeSeriesRegressorEnsemble`](@ref)' in src/reference.md.

12 docstrings not included in the manual: ConformalPrediction.ConformalTraining.smooth_size_loss :: Tuple{ConformalPrediction.ConformalProbabilisticSet, Any, Any} ConformalPrediction.score :: Union{Tuple{ConformalPrediction.SimpleInductiveClassifier, Type{<:Union{MLJEnsembles.DeterministicEnsembleModel{var"#s103"}, MLJEnsembles.ProbabilisticEnsembleModel{var"#s103"}} where var"#s103"<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any}, Tuple{ConformalPrediction.SimpleInductiveClassifier, Type{<:Union{MLJEnsembles.DeterministicEnsembleModel{var"#s105"}, MLJEnsembles.ProbabilisticEnsembleModel{var"#s105"}} where var"#s105"<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any, Union{Nothing, AbstractArray}}} ConformalPrediction.score :: Union{Tuple{ConformalPrediction.SimpleInductiveClassifier, Type{<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any}, Tuple{ConformalPrediction.SimpleInductiveClassifier, Type{<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any, Union{Nothing, AbstractArray}}} ConformalPrediction.ConformalTraining.ConformalNNRegressor ConformalPrediction.ConformalTraining.soft_assignment :: Tuple{ConformalPrediction.ConformalProbabilisticSet} ConformalPrediction.ConformalTraining.soft_assignment :: Tuple{ConformalPrediction.ConformalProbabilisticSet, Any, Any} ConformalPrediction.ConformalTraining.ConformalNNClassifier ConformalPrediction.ConformalTraining.classification_loss :: Tuple{ConformalPrediction.ConformalProbabilisticSet, Any, Any, Any} MLJFlux.shape :: Tuple{ConformalPrediction.ConformalTraining.ConformalNNRegressor, Any, Any} MLJFlux.train! :: Tuple{Union{ConformalPrediction.ConformalTraining.ConformalNNClassifier, ConformalPrediction.ConformalTraining.ConformalNNRegressor}, Vararg{Any, 5}} ConformalPrediction.ConformalTraining.score :: Union{Tuple{ConformalPrediction.AdaptiveInductiveClassifier, Type{<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any}, Tuple{ConformalPrediction.AdaptiveInductiveClassifier, Type{<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any, Union{Nothing, AbstractArray}}} ConformalPrediction.ConformalTraining.score :: Union{Tuple{ConformalPrediction.AdaptiveInductiveClassifier, Type{<:Union{MLJEnsembles.DeterministicEnsembleModel{var"#s5"}, MLJEnsembles.ProbabilisticEnsembleModel{var"#s5"}} where var"#s5"<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any}, Tuple{ConformalPrediction.AdaptiveInductiveClassifier, Type{<:Union{MLJEnsembles.DeterministicEnsembleModel{var"#s108"}, MLJEnsembles.ProbabilisticEnsembleModel{var"#s108"}} where var"#s108"<:Union{MLJFlux.MLJFluxDeterministic, MLJFlux.MLJFluxProbabilistic}}, Any, Any, Union{Nothing, AbstractArray}}} These are docstrings in the checked modules (configured with the modules keyword) that are not included in @docs or @autodocs blocks.

invalid local link: unresolved path in tutorials/plotting.md link.text = 1-element Vector{Any}: Markdown.Code("", "Plots.plot(conf_model::ConformalPrediction.ConformalInterval, fitresult, X, y; kwrgs...)") link.url = "@ref"

invalid local link: unresolved path in tutorials/plotting.md link.text = 1-element Vector{Any}: Markdown.Code("", "Plots.bar(conf_model::ConformalPrediction.ConformalModel, fitresult, X; label=\"\", xtickfontsize=6, kwrgs...)") link.url = "@ref"