Merge branch 'fix_PrivacyThreshold'
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@@ -326,10 +326,10 @@ if (file_exists('./scripts/thisrun.txt')) {
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// Update the current slider value (each time you drag the slider handle)
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slider.oninput = function() {
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output.innerHTML = this.value;
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document.getElementById("predictionCount").innerHTML = parseInt((this.value * <?php echo $count; ?>)/100);
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document.getElementById("predictionCount").innerHTML = parseInt(Math.max(10, (this.value * <?php echo $count; ?>)/100));
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}
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</script>
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<p>If a Human is predicted anywhere among the top <span id="predictionCount"><?php echo $newconfig['PRIVACY_THRESHOLD'] == 0 ? "threshold % of" : intval(($newconfig['PRIVACY_THRESHOLD'] * $count)/100); ?></span> predictions, the sample will be considered of human origin and no data will be collected. Start with 1% and move up as needed.</p>
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<p>If a Human is predicted anywhere among the top <span id="predictionCount"><?php echo intval(max(10, ($newconfig['PRIVACY_THRESHOLD'] * $count)/100)); ?></span> predictions, the sample will be considered of human origin and no data will be collected. Start with 1% and move up as needed.</p>
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</td></tr></table><br>
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<table class="settingstable"><tr><td>
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+3
-5
@@ -223,12 +223,10 @@ def predict(sample, sensitivity):
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# Sort by score
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p_sorted = sorted(p_labels.items(), key=operator.itemgetter(1), reverse=True)
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log.debug("DATABASE SIZE: %d", len(p_sorted))
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log.debug("HUMAN-CUTOFF AT: %d", int(len(p_sorted)*priv_thresh)/10)
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#
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# # Remove species that are on blacklist
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human_cutoff = max(10, int(len(p_sorted) * priv_thresh / 100.0))
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human_cutoff = max(10, int(len(p_sorted) * priv_thresh))
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log.debug("DATABASE SIZE: %d", len(p_sorted))
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log.debug("HUMAN-CUTOFF AT: %d", human_cutoff)
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for i in range(min(10, len(p_sorted))):
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if p_sorted[i][0] == 'Human_Human':
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