Feersum-nlu

Latest version: v2.0.46

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2.0.37

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Updated the API key management interface to allow one to add an entry with an existing key.

The api key details response now includes an api call breakdown over the endpoints.

2.0.36

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Added an emotion classifier model.

Added an image reader model for OCR and barcode reading applications.

Added optional index and len query params to the GET sample endpoints to allow one to split large sample
downloads over multiple calls in cases where the service config doesn't allow large responses.

2.0.35

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Added num_epochs to the image classifier's train endpoint.

Added automatic class balancing added for the image classifier.

Updated the Python API wrapper for Python 3.7 using swagger-codegen 2.4.6.

2.0.34

==============

Server patched, no functional updates.

2.0.33

==============

Added image classifier endpoint.

Added LR4_language_recogniser alias for language_recogniser for compatibility with some older applications.

The dashboard now reports language models as sentence_encoders instead of word_manifolds. The sentence encoder model
also now returns the encoder type and language.

Added examples of how to use the text classifier using Naive Bayes and nearest neighbour L1 search (with different language
models).

The word manifold endpoint have been removed from the service while developing the new language model endpoints!

Add ignore word boundaries and ignore case flags to synonym extractor entities.

2.0.31

==============

Added git-like revision control. One can now load a specific revision of a model by providing its UUID in the create endpoints.
The dashboard endpoint also now returns a model's revision history.

Added a second POST dashboard end-point that allows one to set some operation parameters like a model's history size to show.

Added a synonym entity extractor.

Added a convenience 'delete_all' endpoint for data objects.

Added a PrometheusHandler logging handler that logs counts of various log level emits to Prometheus.

Added X-Caller header param. E.g. x_caller='example_caller' in api call.

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