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32 lines
2.0 KiB
32 lines
2.0 KiB
<?php
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// This file is part of Moodle - http://moodle.org/
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//
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// Moodle is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// Moodle is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with Moodle. If not, see <http://www.gnu.org/licenses/>.
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/**
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* Strings for component 'mlbackend_php'
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*
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* @package mlbackend_php
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* @copyright 2017 David Monllao {@link http://www.davidmonllao.com}
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* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
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*/
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$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.';
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$string['errorcantloadmodel'] = 'Model file {$a} does not exist. The model should been trained before using it to predict.';
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$string['errorlowscore'] = 'The evaluated model prediction accuracy is not very high, so some predictions may not be accurate. Model score = {$a->score}, minimum score = {$a->minscore}';
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$string['errornotenoughdata'] = 'There is not enough data to evaluate this model using the time-splitting method.';
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$string['errornotenoughdatadev'] = 'The evaluation results varied too much. It is recommended that more data is gathered to ensure the model is valid. Evaluation results standard deviation = {$a->deviation}, maximum recommended standard deviation = {$a->accepteddeviation}';
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$string['errorphp7required'] = 'The PHP machine learning backend requires PHP 7';
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$string['pluginname'] = 'PHP machine learning backend';
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$string['privacy:metadata'] = 'The PHP machine learning backend plugin does not store any personal data.';
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