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The following commit(s) were added to refs/heads/asf-site by this push: new 1cd6fcbe97e Publishing website 2023/01/25 04:17:06 at commit a96afe2 1cd6fcbe97e is described below commit 1cd6fcbe97ef67c7a5cdad8251c6b3691c0c1a1d Author: jenkins <bui...@apache.org> AuthorDate: Wed Jan 25 04:17:07 2023 +0000 Publishing website 2023/01/25 04:17:06 at commit a96afe2 --- .../documentation/sdks/python-machine-learning/index.html | 5 +++-- website/generated-content/sitemap.xml | 2 +- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/website/generated-content/documentation/sdks/python-machine-learning/index.html b/website/generated-content/documentation/sdks/python-machine-learning/index.html index bd00a096b14..d3fa8bf7745 100644 --- a/website/generated-content/documentation/sdks/python-machine-learning/index.html +++ b/website/generated-content/documentation/sdks/python-machine-learning/index.html @@ -19,8 +19,9 @@ function addPlaceholder(){$('input:text').attr('placeholder',"What are you looking for?");} function endSearch(){var search=document.querySelector(".searchBar");search.classList.add("disappear");var icons=document.querySelector("#iconsBar");icons.classList.remove("disappear");} function blockScroll(){$("body").toggleClass("fixedPosition");} -function openMenu(){addPlaceholder();blockScroll();}</script><div class="clearfix container-main-content"><div class="section-nav closed" data-offset-top=90 data-offset-bottom=500><span class="section-nav-back glyphicon glyphicon-menu-left"></span><nav><ul class=section-nav-list data-section-nav><li><span class=section-nav-list-main-title>Languages</span></li><li><span class=section-nav-list-title>Java</span><ul class=section-nav-list><li><a href=/documentation/sdks/java/>Java SDK overvi [...] -Pydoc</a></td></table><p><br><br><br></p><p>You can use Apache Beam with the RunInference API to use machine learning (ML) models to do local and remote inference with batch and streaming pipelines. Starting with Apache Beam 2.40.0, PyTorch and Scikit-learn frameworks are supported. Tensorflow models are supported through tfx-bsl.</p><p>You can create multiple types of transforms using the RunInference API: the API takes multiple types of setup parameters from model handlers, and the par [...] +function openMenu(){addPlaceholder();blockScroll();}</script><div class="clearfix container-main-content"><div class="section-nav closed" data-offset-top=90 data-offset-bottom=500><span class="section-nav-back glyphicon glyphicon-menu-left"></span><nav><ul class=section-nav-list data-section-nav><li><span class=section-nav-list-main-title>Languages</span></li><li><span class=section-nav-list-title>Java</span><ul class=section-nav-list><li><a href=/documentation/sdks/java/>Java SDK overvi [...] +Pydoc</a></td></table><p><br><br><br></p></a></td><td><a target=_blank class=button href=https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/extensions/python/transforms/RunInference.html><img src=https://beam.apache.org/images/logos/sdks/java.png width=20px height=30px alt=Javadoc> +Javadoc</a></td></tr></table><p>You can use Apache Beam with the RunInference API to use machine learning (ML) models to do local and remote inference with batch and streaming pipelines. Starting with Apache Beam 2.40.0, PyTorch and Scikit-learn frameworks are supported. Tensorflow models are supported through tfx-bsl.</p><p>You can create multiple types of transforms using the RunInference API: the API takes multiple types of setup parameters from model handlers, and the parameter type [...] <a href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/utils/shared.py#L20><code>Shared</code> class documentation</a>.</p><h3 id=multi-model-pipelines>Multi-model pipelines</h3><p>The RunInference API can be composed into multi-model pipelines. Multi-model pipelines can be useful for A/B testing or for building out cascade models made up of models that perform tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, language detection, co [...] with pipeline as p: predictions = ( p | 'Read' >> beam.ReadFromSource('a_source') diff --git a/website/generated-content/sitemap.xml b/website/generated-content/sitemap.xml index acd18744557..e71d75791ce 100644 --- a/website/generated-content/sitemap.xml +++ b/website/generated-content/sitemap.xml @@ -1 +1 @@ -<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.44.0/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/blog/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/categories/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/catego [...] \ No newline at end of file +<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.44.0/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/blog/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/categories/</loc><lastmod>2023-01-18T12:23:16-05:00</lastmod></url><url><loc>/catego [...] \ No newline at end of file