From user-return-1905-archive-asf-public=cust-asf.ponee.io@predictionio.apache.org Mon Apr 23 18:43:36 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id EC5FD180634 for ; Mon, 23 Apr 2018 18:43:35 +0200 (CEST) Received: (qmail 50865 invoked by uid 500); 23 Apr 2018 16:43:34 -0000 Mailing-List: contact user-help@predictionio.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@predictionio.apache.org Delivered-To: mailing list user@predictionio.apache.org Received: (qmail 50855 invoked by uid 99); 23 Apr 2018 16:43:34 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd3-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 23 Apr 2018 16:43:34 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd3-us-west.apache.org (ASF Mail Server at spamd3-us-west.apache.org) with ESMTP id 801C11802E6 for ; Mon, 23 Apr 2018 16:43:34 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd3-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 3.543 X-Spam-Level: *** X-Spam-Status: No, score=3.543 tagged_above=-999 required=6.31 tests=[DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, HTML_MESSAGE=2, RCVD_IN_BRBL_LASTEXT=1.644, SPF_PASS=-0.001] autolearn=disabled Authentication-Results: spamd3-us-west.apache.org (amavisd-new); dkim=pass (2048-bit key) header.d=teyanlogic.se Received: from mx1-lw-us.apache.org ([10.40.0.8]) by localhost (spamd3-us-west.apache.org [10.40.0.10]) (amavisd-new, port 10024) with ESMTP id dgWGHDL129GV for ; Mon, 23 Apr 2018 16:43:31 +0000 (UTC) Received: from server1.vo2lab.nu (vps12327503.123-vps.co.uk [212.48.67.53]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTPS id 1D0F95FB19 for ; Mon, 23 Apr 2018 16:43:30 +0000 (UTC) DKIM-Signature: v=1; a=rsa-sha256; q=dns/txt; c=relaxed/relaxed; d=teyanlogic.se; s=default; h=Message-Id:In-Reply-To:To:References:Date: Subject:Mime-Version:Content-Type:From:Sender:Reply-To:Cc: Content-Transfer-Encoding:Content-ID:Content-Description:Resent-Date: Resent-From:Resent-Sender:Resent-To:Resent-Cc:Resent-Message-ID:List-Id: List-Help:List-Unsubscribe:List-Subscribe:List-Post:List-Owner:List-Archive; bh=MxXp3S5VNpQXricJm1Ea/x0MIya6oCHtuAO80+I/j9U=; b=KuwmVzcdmTYUxKI+L1q9nF3aC lMo49UrkvM5Ez3fC/ObJE2ikNHObBeoZQTCXjcf1wt530fPH1KyWDFLqTzlQf/Sx9vfSi2J19p3Kb aMk4RfNCpCeHHk+TaeTrTfLjMfltmcxfuvnbdt/emUS+oRQqYSUnzIQ9HKL8UvBHy3YngrBxY4P+d uitWM33oRGS9jv1IWhHqSYnbIkYM691tAS9nTQujMdVA7mqBb5zx4kvCYBM2WNEiSiTxomBKOFi2h yAJK2RMF9j7+1PFar09jSRxUr4jgJOV/SZdqe9WEmCc4acwB3NAH+TI2gWtnvVNZnekwWikUl6dfQ hAjqkOVRQ==; Received: from 31-208-193-88.cust.bredband2.com ([31.208.193.88]:38951 helo=[10.0.1.6]) by server1.vo2lab.nu with esmtpsa (TLSv1.2:ECDHE-RSA-AES256-GCM-SHA384:256) (Exim 4.89_1) (envelope-from ) id 1fAeYl-0007jj-NF for user@predictionio.apache.org; Mon, 23 Apr 2018 18:43:23 +0200 From: Mike Graham Content-Type: multipart/alternative; boundary="Apple-Mail=_D95131FD-3359-4757-8198-30F6A8E870A0" Mime-Version: 1.0 (Mac OS X Mail 10.3 \(3273\)) Subject: unsubscribe Date: Mon, 23 Apr 2018 18:43:22 +0200 References: To: user@predictionio.apache.org In-Reply-To: Message-Id: X-Mailer: Apple Mail (2.3273) X-AntiAbuse: This header was added to track abuse, please include it with any abuse report X-AntiAbuse: Primary Hostname - server1.vo2lab.nu X-AntiAbuse: Original Domain - predictionio.apache.org X-AntiAbuse: Originator/Caller UID/GID - [47 12] / [47 12] X-AntiAbuse: Sender Address Domain - teyanlogic.se X-Get-Message-Sender-Via: server1.vo2lab.nu: authenticated_id: mike@teyanlogic.se X-Authenticated-Sender: server1.vo2lab.nu: mike@teyanlogic.se X-Source: X-Source-Args: X-Source-Dir: --Apple-Mail=_D95131FD-3359-4757-8198-30F6A8E870A0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii > On 23 Apr 2018, at 18:41, Andrew Troemner = wrote: >=20 > Hi, >=20 > PredictionIO serves as a framework for other numerical processing = libraries, primarily Spark's MLlib. You can read more of the = documentation on the Spark website = . >=20 > The library has many tools related to classification, regression, = collaborative filtering, NLP, and other related tasks, so it's probably = easier to describe the broad task you want to do and then find out the = specific Spark / Java / Scala implementation API's. >=20 > If you want to learn more about several statistical techniques, I = would recommend a general statistical book that describes many common = techniques. I find the Elements of Statistical Learning = by Springer Press to = be particularly useful to that end. There are several other books about = Scikit-learn that also describe very well the variety of statistical = algorithms available to Data Scientists. >=20 > Hope that helps! >=20 > ANDREW TROEMNER > Associate Principal Data Scientist | salesforce.com = > Office: 317.832.4404 > Mobile: 317.531.0216 >=20 > = > On Mon, Apr 23, 2018 at 12:32 PM, GMAIL > wrote: > Hello.=20 > Is it possible to find scientific articles or a mathematical = description of the work of PredictionIO anywhere?=20 > I could not find anything on predictionio.apache.org = except for a brief description of the = principle of work and deployment documentation. >=20 --Apple-Mail=_D95131FD-3359-4757-8198-30F6A8E870A0 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=us-ascii
On 23 Apr 2018, at 18:41, Andrew Troemner <atroemner@salesforce.com> wrote:

Hi,

PredictionIO serves as a framework for other numerical = processing libraries, primarily Spark's MLlib. You can read more of the = documentation on the Spark website.

The library has many tools related to = classification, regression, collaborative filtering, NLP, and other = related tasks, so it's probably easier to describe the broad task you = want to do and then find out the specific Spark / Java / Scala = implementation API's.

If you want to learn more about several statistical = techniques, I would recommend a general statistical book that describes = many common techniques. I find the Elements of Statistical Learning by Springer Press to be = particularly useful to that end. There are several other books about = Scikit-learn that also describe very well the variety of statistical = algorithms available to Data Scientists.

Hope that helps!

ANDREW TROEMNER
Associate= Principal Data Scientist | salesforce.com
Office: = 317.832.4404
Mobile: = 317.531.0216


On Mon, Apr 23, 2018 at 12:32 = PM, GMAIL <babaevkamil@gmail.com> wrote:
Hello.
Is = it possible to find scientific articles or a mathematical description of = the work of PredictionIO anywhere?
I = could not find anything on predictionio.apache.org except for a = brief description of the principle of work and deployment = documentation.


= --Apple-Mail=_D95131FD-3359-4757-8198-30F6A8E870A0--