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Update notebook
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benchmark/Benchmarks.ipynb

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@@ -107,15 +107,15 @@
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"output_type": "stream",
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"text": [
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"name = \"Fashion MNIST\"\n",
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"recall(nn, true_nn) = 0.9968800000000001\n",
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"recall(idx, true_idx) = 0.911199999999999\n",
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"q_per_sec = 312.67200712455934\n"
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"recall(nn, true_nn) = 0.9966799999999998\n",
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"recall(idx, true_idx) = 0.9099999999999993\n",
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"q_per_sec = 306.35653137860936\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"312.67200712455934"
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"306.35653137860936"
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]
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},
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"execution_count": 5,
@@ -138,15 +138,15 @@
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"output_type": "stream",
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"text": [
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"name = \"Cosine Random\"\n",
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"recall(nn, true_nn) = 0.6250399999999964\n",
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"recall(idx, true_idx) = 0.8749999999999994\n",
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"q_per_sec = 188.72105219481088\n"
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"recall(nn, true_nn) = 0.6454999999999979\n",
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"recall(idx, true_idx) = 0.8749999999999991\n",
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"q_per_sec = 192.44264434039687\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"188.72105219481088"
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"192.44264434039687"
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]
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},
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"execution_count": 6,
@@ -171,15 +171,15 @@
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"output_type": "stream",
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"text": [
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"name = \"Hamming Random\"\n",
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"recall(nn, true_nn) = 0.12610000000000463\n",
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"recall(idx, true_idx) = 0.8365999999999981\n",
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"q_per_sec = 195.5048559294746\n"
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"recall(nn, true_nn) = 0.13036000000000472\n",
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"recall(idx, true_idx) = 0.8429999999999988\n",
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"q_per_sec = 193.82943617775595\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"195.5048559294746"
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"193.82943617775595"
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]
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},
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"execution_count": 7,

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