methods.md

List of methods introduced in the tutorials

Part 1

scitype(object), coerce(vector, SomeSciType), levels(categorical_vector), levels!(categorical_vector), schema(table), MLJ.table(matrix), autotype(table), coerce(table, ...), coerce!(dataframe, ...), elscitype(vector)

Part 2

OpenML.load(id), unpack(table, ...), models(), models(filter), models(string), @load ModelType pkg=PackageName, info(model), machine(model, X, y), partition(row_indices, ...), fit!(mach, rows=...), predict(mach, rows=...), predict(mach, Xnew), fitted_params(mach), report(mach), MLJ.save, machine(filename), machine(filename, X, y), pdf(single_prediction, class), predict_mode(mach, Xnew), predict_mean(mach, Xnew), predict_median(mach, Xnew), measures(), evaluate!, range(model, :(param.nested_param), ...), learning_curve(mach, ...)

Part 3

Standardizer, transform, inverse_transform, ContinuousEncoder, @pipeline

Part 4

iterator(r, resolution), sampler(r, distribution), RandomSearch, TunedModel

Part 5

source(data), source(), Probabilistic(), Deterministic(), Unsupervised(), @from_network