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Update cross references and increment patch version #392

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Jan 17, 2024
Merged

Update cross references and increment patch version #392

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2 changes: 1 addition & 1 deletion Project.toml
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Expand Up @@ -2,7 +2,7 @@ name = "ComplexityMeasures"
uuid = "ab4b797d-85ee-42ba-b621-05d793b346a2"
authors = "Kristian Agasøster Haaga <kahaaga@gmail.com>, George Datseries <datseris.george@gmail.com>"
repo = "https://github.com/juliadynamics/ComplexityMeasures.jl.git"
version = "3.4.0"
version = "3.4.1"

[deps]
Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
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1 change: 1 addition & 0 deletions src/core/complexity.jl
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Expand Up @@ -24,6 +24,7 @@ any subtype of [`ComplexityEstimator`](@ref):
- [`MissingDispersionPatterns`](@ref).
- [`ReverseDispersion`](@ref).
- [`SampleEntropy`](@ref).
- [`BubbleEntropy`](@ref).
- [`StatisticalComplexity`](@ref).
"""
function complexity(c::ComplexityEstimator, x)
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2 changes: 2 additions & 0 deletions src/core/encodings.jl
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Expand Up @@ -16,6 +16,8 @@ Current available encodings are:
- [`RelativeMeanEncoding`](@ref).
- [`RelativeFirstDifferenceEncoding`](@ref).
- [`UniqueElementsEncoding`](@ref).
- [`BubbleSortSwapsEncoding`](@ref).
- [`PairDistanceEncoding`](@ref).
- [`CombinationEncoding`](@ref), which can combine any of the above encodings.
"""
abstract type Encoding end
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32 changes: 17 additions & 15 deletions src/core/outcome_spaces.jl
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Expand Up @@ -24,21 +24,23 @@ discretize/encode the data directly.

## Implementations

| Outcome space | Principle | Input data | Counting-compatible |
| :-------------------------------------- | :--------------------------- | :------------------------ | :------------------ |
| [`UniqueElements`](@ref) | Count of unique elements | `Any` | ✔ |
| [`ValueBinning`](@ref) | Binning (histogram) | `Vector`, `StateSpaceSet` | ✔ |
| [`OrdinalPatterns`](@ref) | Ordinal patterns | `Vector`, `StateSpaceSet` | ✔ |
| [`SpatialOrdinalPatterns`](@ref) | Ordinal patterns in space | `Array` | ✔ |
| [`Dispersion`](@ref) | Dispersion patterns | `Vector` | ✔ |
| [`SpatialDispersion`](@ref) | Dispersion patterns in space | `Array` | ✔ |
| [`CosineSimilarityBinning`](@ref) | Cosine similarity | `Vector` | ✔ |
| [`TransferOperator`](@ref) | Binning (transfer operator) | `Vector`, `StateSpaceSet` | ✖ |
| [`NaiveKernel`](@ref) | Kernel density estimation | `StateSpaceSet` | ✖ |
| [`WeightedOrdinalPatterns`](@ref) | Ordinal patterns | `Vector`, `StateSpaceSet` | ✖ |
| [`AmplitudeAwareOrdinalPatterns`](@ref) | Ordinal patterns | `Vector`, `StateSpaceSet` | ✖ |
| [`WaveletOverlap`](@ref) | Wavelet transform | `Vector` | ✖ |
| [`PowerSpectrum`](@ref) | Fourier transform | `Vector` | ✖ |
| Outcome space | Principle | Input data | Counting-compatible |
| :-------------------------------------- | :-------------------------------- | :------------------------ | :------------------ |
| [`UniqueElements`](@ref) | Count of unique elements | `Any` | ✔ |
| [`ValueBinning`](@ref) | Binning (histogram) | `Vector`, `StateSpaceSet` | ✔ |
| [`OrdinalPatterns`](@ref) | Ordinal patterns | `Vector`, `StateSpaceSet` | ✔ |
| [`SpatialOrdinalPatterns`](@ref) | Ordinal patterns in space | `Array` | ✔ |
| [`Dispersion`](@ref) | Dispersion patterns | `Vector` | ✔ |
| [`SpatialDispersion`](@ref) | Dispersion patterns in space | `Array` | ✔ |
| [`CosineSimilarityBinning`](@ref) | Cosine similarity | `Vector` | ✔ |
| [`BubbleSortSwaps`](@ref) | Swap counts when sorting | `Vector` | ✔ |
| [`SequentialPairDistances`](@ref) | Sequential state vector distances | `Vector`, `StateSpaceSet` | ✔ |
| [`TransferOperator`](@ref) | Binning (transfer operator) | `Vector`, `StateSpaceSet` | ✖ |
| [`NaiveKernel`](@ref) | Kernel density estimation | `StateSpaceSet` | ✖ |
| [`WeightedOrdinalPatterns`](@ref) | Ordinal patterns | `Vector`, `StateSpaceSet` | ✖ |
| [`AmplitudeAwareOrdinalPatterns`](@ref) | Ordinal patterns | `Vector`, `StateSpaceSet` | ✖ |
| [`WaveletOverlap`](@ref) | Wavelet transform | `Vector` | ✖ |
| [`PowerSpectrum`](@ref) | Fourier transform | `Vector` | ✖ |

In the column "input data" it is assumed that the `eltype` of the input is `<: Real`.

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