| Server IP : 172.67.187.206 / Your IP : 162.159.115.42 Web Server : Apache/2.4.25 (Win32) OpenSSL/1.0.2j PHP/5.6.30 System : Windows NT WIN-ECQAAA40806 6.2 build 9200 (Windows Server 2012 Standard Edition) i586 User : SYSTEM ( 0) PHP Version : 5.6.30 Disable Function : NONE MySQL : ON | cURL : ON | WGET : OFF | Perl : OFF | Python : OFF | Sudo : OFF | Pkexec : OFF Directory : E:/Inetpub/www/myschool/triamudom/tuprblearn/lib/mlbackend/php/lang/en/ |
Upload File : |
<?php
// This file is part of Moodle - http://moodle.org/
//
// Moodle is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// Moodle is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Moodle. If not, see <http://www.gnu.org/licenses/>.
/**
* Strings for component 'mlbackend_php'
*
* @package mlbackend_php
* @copyright 2017 David Monllao {@link http://www.davidmonllao.com}
* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
*/
$string['datasetsizelimited'] = 'Only part of the dataset has been evaluated due to its size. Set $CFG->mlbackend_php_no_memory_limit if you are confident that your system can cope with a {$a} dataset.';
$string['errorcantloadmodel'] = 'Model file {$a} does not exist. The model should been trained before using it to predict.';
$string['errorlowscore'] = 'The evaluated model prediction accuracy is not very high, so some predictions may not be accurate. Model score = {$a->score}, minimum score = {$a->minscore}';
$string['errornotenoughdata'] = 'There is not enough data to evaluate this model using the provided analysis interval.';
$string['errornotenoughdatadev'] = 'The evaluation results varied too much. It is recommended that more data is gathered to ensure the model is valid. Evaluation results standard deviation = {$a->deviation}, maximum recommended standard deviation = {$a->accepteddeviation}';
$string['errorphp7required'] = 'The PHP machine learning backend requires PHP 7';
$string['pluginname'] = 'PHP machine learning backend';
$string['privacy:metadata'] = 'The PHP machine learning backend plugin does not store any personal data.';