Feersum-nlu

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Added TSNE analytics to the intent model and its API. See 'examples/intent_classifier.py'.

Added model readonly flag which prevents a model from being modified or a new model of the same name being created.

Added CRF entity extractor.

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Specialised the entity extractor response models from entity_model to duckling_entity, person_name_entity, regex_entity and sim_word_entity.

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Added more samples to intent classifier to demonstrate cross validation.

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Added import and export of models to a feersum_nlu_util.transfer module.

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Added the threshold param (that used to be only on intents and FAQs) to the text classifier model.

Add num_training_samples and num_testing_samples to model instance details.

example/intent_classifier.py added example of providing a language hint.

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Added mypy, pylint, flake8, coverage and coveralls to dependencies.

example/intent_classifier.py updated to show how to get the model's editable parameters (intent_classifier_get_params).

example/dashboard.py updated to show how to retrieve response headers X-RateLimit-Remaining.