Comments (3)
Hi, I've added the suggested changes and test cases to the clone of the repo on my local. How do I run the test cases and check if it's working? Apologies for the trivial doubt, I'm very new to open-source
from complexitymeasures.jl.
Hi, how did you add the package? If you have done the simple
] dev ComplexityMeasures
then you can then just do
] test ComplexityMeasures
The symbol ]
means to press it to go into package manager mode in the REPL.
For your tests to run they need to be part of one of the files in the test
subfolder.
from complexitymeasures.jl.
Closed with #395.
from complexitymeasures.jl.
Related Issues (20)
- 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
- Fix deprecated syntax HOT 2
- Variant of `codify` that also returns the outcomes. HOT 2
- Rank-based outcome space HOT 4
- Generalize transfer operator HOT 14
- Optimize transfer operator estimation HOT 5
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from complexitymeasures.jl.