Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id 6C6B9200B6B for ; Thu, 25 Aug 2016 22:14:42 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 6B134160ABE; Thu, 25 Aug 2016 20:14:42 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 1501A160AA4 for ; Thu, 25 Aug 2016 22:14:39 +0200 (CEST) Received: (qmail 16784 invoked by uid 500); 25 Aug 2016 20:14:39 -0000 Mailing-List: contact commits-help@predictionio.incubator.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@predictionio.incubator.apache.org Delivered-To: mailing list commits@predictionio.incubator.apache.org Received: (qmail 16775 invoked by uid 99); 25 Aug 2016 20:14:39 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd4-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 25 Aug 2016 20:14:39 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd4-us-west.apache.org (ASF Mail Server at spamd4-us-west.apache.org) with ESMTP id 82372C0A64 for ; Thu, 25 Aug 2016 20:14:38 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd4-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -4.646 X-Spam-Level: X-Spam-Status: No, score=-4.646 tagged_above=-999 required=6.31 tests=[KAM_ASCII_DIVIDERS=0.8, KAM_LAZY_DOMAIN_SECURITY=1, RCVD_IN_DNSWL_HI=-5, RCVD_IN_MSPIKE_H3=-0.01, RCVD_IN_MSPIKE_WL=-0.01, RP_MATCHES_RCVD=-1.426] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd4-us-west.apache.org [10.40.0.11]) (amavisd-new, port 10024) with ESMTP id cfU1xdAwep1B for ; Thu, 25 Aug 2016 20:14:24 +0000 (UTC) Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with SMTP id 5C84F60E64 for ; Thu, 25 Aug 2016 20:13:59 +0000 (UTC) Received: (qmail 12599 invoked by uid 99); 25 Aug 2016 20:13:57 -0000 Received: from git1-us-west.apache.org (HELO git1-us-west.apache.org) (140.211.11.23) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 25 Aug 2016 20:13:57 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id 69BE7E0BDC; Thu, 25 Aug 2016 20:13:57 +0000 (UTC) Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit From: donald@apache.org To: commits@predictionio.incubator.apache.org Date: Thu, 25 Aug 2016 20:14:45 -0000 Message-Id: <731fe4fc697142df86cf95f5c78c6f85@git.apache.org> In-Reply-To: References: X-Mailer: ASF-Git Admin Mailer Subject: [50/51] [partial] incubator-predictionio-site git commit: Update template gallery archived-at: Thu, 25 Aug 2016 20:14:42 -0000 http://git-wip-us.apache.org/repos/asf/incubator-predictionio-site/blob/afc2fa9a/algorithm/index.html ---------------------------------------------------------------------- diff --git a/algorithm/index.html b/algorithm/index.html index 9166412..227667b 100644 --- a/algorithm/index.html +++ b/algorithm/index.html @@ -1,4 +1,4 @@ -Built-in Algorithm Libraries
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An engine can virtually call any algorithm in the Algorithm class. Apache PredictionIO (incubating) currently offers native support to Spark MLlib machine learning library. It is being used by some of the engine templates in the template gallery.

More library support will be added soon.

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An engine can virtually call any algorithm in the Algorithm class. Apache PredictionIO (incubating) currently offers native support to Spark MLlib machine learning library. It is being used by some of the engine templates in the template gallery.

More library support will be added soon.

Edit this page

You can use more than one algorithm to build multiple models in an engine. The predicted results can be combined in the Serving class.

Here are some How-to examples:

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You can use more than one algorithm to build multiple models in an engine. The predicted results can be combined in the Serving class.

Here are some How-to examples:

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Every engine template comes with default algorithm(s). To switch to another algorithm, you simply need to modify the Algorithm class.

Here are some How-to examples:

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Every engine template comes with default algorithm(s). To switch to another algorithm, you simply need to modify the Algorithm class.

Here are some How-to examples: