c22

The Catch22 feature set with shortened names; see catch22.

c24

The Catch24 feature set with shortened names; see catch24.

catch22(𝐱::Vector)
catch22(X::Array)
catch22[featurename::Symbol](X::Array)

Evaluate all features for a time series vector 𝐱 or the columns of an array X. catch22 is a FeatureSet, which means it can be indexed by feature names (as symbols) to return a subset of the available features. getnames(catch22), getkeywords(catch22) and getdescriptions(catch22) will also return feature names, keywords and descriptions respectively. Features are returned in a FeatureArray, in which array rows are annotated by feature names. A FeatureArray can be converted to a regular array with Array(F).

Examples

𝐱 = Catch22.testdata[:test]
𝐟 = catch22(𝐱)

X = randn(100, 10)
F = catch22(X)
F = catch22[:DN_HistogramMode_5](X)

The set of Catch22 features without a preliminary z-score

catch24 isa FeatureSet

A feature set containing the mean (DN_Mean) and standard deviation (DN_Spread_Std) in addition to all catch22 features. See catch22.

Catch22.featuredescriptions

A vector listing short descriptions of each feature, as strings.

Catch22.featurekeywords

A vector listing keywords of features as vectors of strings.

DN_HistogramMode_5(x::AbstractVector{Union{Float64, Int}}) # For example

An alternative to catch22(:DN_HistogramMode_5](x). All features, such as DN_HistogramMode_5, are exported as Features and can be evaluated by calling their names.

Examples

𝐱 = Catch22.testdata[:test]
f = DN_HistogramMode_5(𝐱)

_catch22(𝐱::AbstractArray{Float64}, fName::Symbol)
_catch22(fName::Symbol, 𝐱::AbstractArray{Float64})

Evaluate the feature fName on the single time series 𝐱. See Catch22.featuredescriptions for a summary of the 22 available time series features. Time series with NaN or Inf values will produce NaN feature values.

Examples

𝐱 = Catch22.testdata[:test]
Catch22._catch22(𝐱, :DN_HistogramMode_5)