F = FeatureArray(data::AbstractArray, features::Union{Tuple{Symbol},Vector{Symbol}}, [timeseries::Union{Vector, Tuple}], args...)

Construct a FeatureArray, which annotates the array data with names of features along rows and, optionally, timeseries along columns. Since FeatureArray <: AbstractFeatureArray <: AbstractDimArray, further arguments to the FeatureArray constructor are passed to the DimArray constructor. To access feature names, use getnames(F).

Examples

data = rand(Int, 2, 10) # Some feature matrix with 2 features and 10 timeseries
F = FeatureArray(data, [:sum, :length])

FeatureArray{T, 2} where {T}

An alias to construct a FeatureArray for a flat set of timeseries.

Examples

data = rand(Int, 2, 3) # Some feature matrix with 2 features and 3 timeseries
F = FeatureMatrix(data, [:sum, :length], [1, 2, 3])

FeatureArray{T, 1} where {T}

An alias to construct a FeatureArray for a single time series.

Examples

data = randn(2) # Feature values for 1 time series
𝐟 = FeatureVector(data, [:sum, :length])

getnames(𝒇::FeatureArray)

Get the names of features represented in the feature vector or array 𝒇 as a vector of symbols.