spaCy-tutorial | repo contains materials for the ODSC Workshop | Natural Language Processing library

 by   stefan-jansen HTML Version: Current License: MIT

kandi X-RAY | spaCy-tutorial Summary

kandi X-RAY | spaCy-tutorial Summary

spaCy-tutorial is a HTML library typically used in Artificial Intelligence, Natural Language Processing applications. spaCy-tutorial has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repo contains materials for the ODSC Workshop: Intermediate NLP: Topic Modeling and word2vec for translation.
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              spaCy-tutorial has a low active ecosystem.
              It has 10 star(s) with 19 fork(s). There are 4 watchers for this library.
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              It had no major release in the last 6 months.
              spaCy-tutorial has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spaCy-tutorial is current.

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              spaCy-tutorial has no bugs reported.

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              spaCy-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              spaCy-tutorial is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              spaCy-tutorial releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            spaCy-tutorial Key Features

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            spaCy-tutorial Examples and Code Snippets

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            Community Discussions

            QUESTION

            Can't evaluate custom ner in spacy 3.0 using CLI
            Asked 2021-Apr-26 at 12:57

            I'm trying to load a custom pre-trained model with custom pipeline from disk as a pipeline in spacy 3.0:

            The code of the factory is like this:

            ...

            ANSWER

            Answered 2021-Apr-26 at 12:57

            From spaCy v3.0 onwards, pipeline components are expected to support an exclude keyword on their to_disk method. You can add the exclude keyword to your function, give it a default, and simply not use its value in the function body, and this error should be resolved.

            For completeness, here's the migration guide for the transition from v2 to v3, which may include some additional interesting pointers for you: https://spacy.io/usage/v3#migrating

            Source https://stackoverflow.com/questions/67252812

            QUESTION

            ImportError: [E048] Can't import language custom_en from spacy.lang: No module named 'spacy.lang.custom_en'
            Asked 2021-Apr-19 at 11:26

            In spacy 3.0 I have registered my custom Language like this:

            ...

            ANSWER

            Answered 2021-Apr-19 at 11:26

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install spaCy-tutorial

            Set up a virtual environment and run pip install -r requirements.txt.

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