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We could support a command for evaluating how well Annif performs when compared against a gold standard (one or more manually created subject sets per document).
The CLI command for a single docume…
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Document and implement an `optimize` CLI command (no REST API necessary) that works similar to the `optimize.py` script in the prototype, i.e., given a document corpus with gold standard subjects, loo…
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Right now the `annif.corpus` classes are a bit of a mess. They are trying to support different kinds of corpora:
* SubjectIndex: subjects only as a TSV file + lookup and save functionality
* Subje…
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Currently Annif reports precision, recall and F-measure. We could have more, e.g.
* confusion matrix (true positives, false positives, true negatives, false negatives)
* top false positive concepts…
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This shouldn't happen:
```
$ echo "kissa" | annif analyze fasttext-tfidf-fi
1.0553042152709962 kissa
0.6740380641807556 kissaeläimet
0.23148740828037262 koreankie…
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Similar to analyzers and projects.
The `annif.backend` package contains a registry of backend types. Modules within the package implement different types of backends (tf-idf, Maui, fastText...)
…
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Service gives response code 200 but no content
Tested also here:
http://api.annif.org/doc/#!/Automatic32subject32indexing/post_autoindex
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Use Connexion for REST API implementation, using the Swagger API spec to define the functionality
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We should set up static analyzers that monitor code quality. These tools can be integrated directly with GitHub so that they check each committed version.
We could use one or more of these tools: (…
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Bonjour,
J’étais entrain de configurer Mon Jarvis :) et d'une fois, plus rien point de vue de la reconnaissance vocal... Il reconnaissait le HOTWORD mais après plus rien de reconnu...
J'ai fais des…