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Merge branch 'fix_PrivacyThreshold'

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frederik
2024-02-17 12:44:40 +01:00
parent 5e18e0c803 17ff415217
commit ff09690286
2 changed files with 5 additions and 7 deletions
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scripts/advanced.php
+2 -2
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@@ -326,10 +326,10 @@ if (file_exists('./scripts/thisrun.txt')) {
// Update the current slider value (each time you drag the slider handle) // Update the current slider value (each time you drag the slider handle)
slider.oninput = function() { slider.oninput = function() {
output.innerHTML = this.value; output.innerHTML = this.value;
document.getElementById("predictionCount").innerHTML = parseInt((this.value * <?php echo $count; ?>)/100); document.getElementById("predictionCount").innerHTML = parseInt(Math.max(10, (this.value * <?php echo $count; ?>)/100));
} }
</script> </script>
<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'] * $count)/100); ?></span> predictions, the sample will be considered of human origin and no data will be collected. Start with 1% and move up as needed.</p> <p>If a Human is predicted anywhere among the top <span id="predictionCount"><?php echo intval(max(10, ($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>
</td></tr></table><br> </td></tr></table><br>
<table class="settingstable"><tr><td> <table class="settingstable"><tr><td>
scripts/server.py
+3 -5
View File
@@ -223,12 +223,10 @@ def predict(sample, sensitivity):
# Sort by score # Sort by score
p_sorted = sorted(p_labels.items(), key=operator.itemgetter(1), reverse=True) p_sorted = sorted(p_labels.items(), key=operator.itemgetter(1), reverse=True)
log.debug("DATABASE SIZE: %d", len(p_sorted)) human_cutoff = max(10, int(len(p_sorted) * priv_thresh / 100.0))
log.debug("HUMAN-CUTOFF AT: %d", int(len(p_sorted)*priv_thresh)/10)
#
# # Remove species that are on blacklist
human_cutoff = max(10, int(len(p_sorted) * priv_thresh)) log.debug("DATABASE SIZE: %d", len(p_sorted))
log.debug("HUMAN-CUTOFF AT: %d", human_cutoff)
for i in range(min(10, len(p_sorted))): for i in range(min(10, len(p_sorted))):
if p_sorted[i][0] == 'Human_Human': if p_sorted[i][0] == 'Human_Human':