From mboxrd@z Thu Jan 1 00:00:00 1970 From: Piter_ Subject: org-learn question Date: Fri, 25 Jun 2010 14:45:35 +0200 Message-ID: Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="===============1622884990==" Return-path: Received: from [140.186.70.92] (port=57551 helo=eggs.gnu.org) by lists.gnu.org with esmtp (Exim 4.43) id 1OSD2R-0006az-S2 for emacs-orgmode@gnu.org; Fri, 25 Jun 2010 13:50:09 -0400 Received: from Debian-exim by eggs.gnu.org with spam-scanned (Exim 4.69) (envelope-from ) id 1OS8Hs-0007g8-9M for emacs-orgmode@gnu.org; Fri, 25 Jun 2010 08:45:41 -0400 Received: from mail-ww0-f41.google.com ([74.125.82.41]:53343) by eggs.gnu.org with esmtp (Exim 4.69) (envelope-from ) id 1OS8Hs-0007ff-2Z for emacs-orgmode@gnu.org; Fri, 25 Jun 2010 08:45:40 -0400 Received: by wwf26 with SMTP id 26so1055885wwf.0 for ; Fri, 25 Jun 2010 05:45:35 -0700 (PDT) List-Id: "General discussions about Org-mode." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Sender: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org Errors-To: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org To: emacs-orgmode@gnu.org --===============1622884990== Content-Type: multipart/alternative; boundary=0016e6d7e949b75ecf0489da2573 --0016e6d7e949b75ecf0489da2573 Content-Type: text/plain; charset=ISO-8859-1 Hi all. Can somebody tell me more detailed instruction about how to make "learning data" for org-learn mode? >5. Your "learning data" is kept in a special property called :LEARN_DATA:. Do not modify this, as it controls how the algorithm reschedules after future repetitions, and based on past quality responses. Thanks. Petro. --0016e6d7e949b75ecf0489da2573 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Hi all.
Can somebody tell me more detailed instruction about how to make= "learning data" for org-learn mode?


>5. Your "learning data" is kept in a special= property called :LEARN_DATA:. Do =A0not modify this, as it controls how th= e algorithm reschedules after future =A0 repetitions, and based on past qua= lity responses.

Thanks.
Petro.

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