Comments (3)
Datseris
commented on July 24, 2024
rng should be a field of the encoding. it doesn't have to be a field of OrdinalPatterns, only give as an input to it.
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Datseris
commented on July 24, 2024
will not give reproducible results
Note that this is only a problem if there are duplicate datapoints in the timeseries.
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kahaaga
commented on July 24, 2024
Note that this is only a problem if there are duplicate datapoints in the timeseries.
The problem occurs if there are tied values inside any state vector, since it is the individual state vectors that are sorted to map them onto an ordinal pattern.
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Related Issues (20)
- The function `lt` in `OrdinalPatternEncoding` isn't actually used HOT 1
- It shouldn't be possible to construct an empty `CombinationEncoding` HOT 3
- Feature: "distribution entropy" HOT 3
- Feature: bubble entropy (description is WIP) HOT 4
- Feature: "increment entropy" HOT 1
- Feature: "attention entropy"
- `missing_probabilities` HOT 1
- `counts_and_outcomes` for `BubbleSortSwaps` should also accept state space sets
- Syntax with type parameter `{m}` in `OrdinalPatterns` is not harmonious with the rest of the library HOT 10
- Encoding using `Dispersion` is slower than necessary due to manual integration for normal cdf
- Encoding complex-valued data HOT 2
- [Q] How to calculate MI between two vectors? HOT 3
- Latest stable documentation has an error in the `StatisticalComplexity` docstring HOT 1
- "Amplitude entropy"
- Good-Turing probabilities estimator HOT 2
- `AddConstant` estimator lacks reference
- Latest tagged release not appearing in neither stable nor dev docs HOT 1
- Our new fluctuation complexity generalization is incorrect. HOT 8
- `TsallisExtropy` doctoring missing some keyword arguments
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