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Update multi-processing example and add to docs

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ines 2017-10-27 01:58:55 +02:00
parent 4eabaafd66
commit 1d69a46cd4
4 changed files with 31 additions and 3 deletions
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6
examples/parallel_tag.py
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@ -1,7 +1,9 @@
"""
Example of multi-processing with joblib. Here, we're exporting
Example of multi-processing with Joblib. Here, we're exporting
part-of-speech-tagged, true-cased, (very roughly) sentence-separated text, with
each "sentence" on a newline, and spaces between tokens.
each "sentence" on a newline, and spaces between tokens. Data is loaded from
the IMDB movie reviews dataset and will be loaded automatically via Thinc's
built-in dataset loader.
Last updated for: spaCy 2.0.0a18
"""

2
website/usage/_data.json
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@ -106,7 +106,7 @@
"How Pipelines Work": "pipelines",
"Custom Components": "custom-components",
"Developing Extensions": "extensions",
"Multi-threading": "multithreading",
"Multi-Threading": "multithreading",
"Serialization": "serialization"
}
},

13
website/usage/_processing-pipelines/_multithreading.jade
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@ -38,3 +38,16 @@ p
| the generator in two, and then #[code izip] the extra stream to the
| document stream. Here's
| #[+a(gh("spacy") + "/issues/172#issuecomment-183963403") an example].
+h(3, "multi-processing-example") Example: Multi-processing with Joblib
p
| This example shows how to use multiple cores to process text using
| spaCy and #[+a("https://pythonhosted.org/joblib/") Joblib]. We're
| exporting part-of-speech-tagged, true-cased, (very roughly)
| sentence-separated text, with each "sentence" on a newline, and
| spaces between tokens. Data is loaded from the IMDB movie reviews
| dataset and will be loaded automatically via Thinc's built-in dataset
| loader.
+github("spacy", "examples/parallel_tag.py")

13
website/usage/examples.jade
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@ -71,6 +71,19 @@ include ../_includes/_mixins
+github("spacy", "examples/pipeline/custom_attr_methods.py")
+h(3, "parallel-tag") Multi-processing with Joblib
p
| This example shows how to use multiple cores to process text using
| spaCy and #[+a("https://pythonhosted.org/joblib/") Joblib]. We're
| exporting part-of-speech-tagged, true-cased, (very roughly)
| sentence-separated text, with each "sentence" on a newline, and
| spaces between tokens. Data is loaded from the IMDB movie reviews
| dataset and will be loaded automatically via Thinc's built-in dataset
| loader.
+github("spacy", "examples/parallel_tag.py")
+section("training")
+h(3, "training-ner") Training spaCy's Named Entity Recognizer