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Useful distance measures include but are not limited to:
- [x] (minimum) distance https://shapely.readthedocs.io/en/stable/manual.html#object.distance
- [x] Hausdorff distance https://shapely.read…
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### Is your feature request related to a problem?
Feature request #2385 discusses fuzzy string matching that was implemented in PR #1904.
@tobiemh mentioned three not-yet-implemented string distance…
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Let's analyse the NN classifier with different distance measures to see if we get a better classification, then try and explain why.
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Many users are unfamiliar with the various time series distance measures and are unsure which ones are most suitable for their specific tasks. To address this issue, it would be beneficial to provide …
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**Context:** Currently we have only implemented Euclidean Distance (L2 norm) (can read more about it from `l2.rs` file in `Utils` module)
As a starting point to get familiar with the codebase, we w…
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The following functions have a `usebounds` parameter: `center`, `periphery`, `diameter`, `radius`.
The purpose of this parameter is not documented. What does it do?
Doc page:
https://networ…
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### Feature request
Add an option to the RLOOTrainer that enables the use of string-based reward models, such as BLEU and Levenshtein distance, for evaluating model outputs.
### Motivation
Curren…
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What should we include in our summary statistics? Should we always provide both central estimates and uncertainty estimates? Here's a list of potential ideas.
Also, I think it would make sense to h…
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Like #2182, but for quantum channels.
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- fidelity
- process fidelity
- purity
- diamond norm
- others?