mirror of
https://github.com/20kaushik02/CSE515_MWDB_Project.git
synced 2025-12-06 07:44:07 +00:00
ls2 for task 9
This commit is contained in:
pranavbrkr
parent
0f8e5d845e
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"cells": [
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 2,
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"metadata": {},
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 3,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Applying CP decomposition on the cm_fd space to get 10 latent semantics (showing only top 10 image-weight pairs for each latent semantic)...\n",
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"(4339, 900, 101)\n",
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"Showing image-weight latent semantic\n",
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"Latent semantic no. 0\n",
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"image\t823\t-\tweight\t0.06101574157129977\n",
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"image\t809\t-\tweight\t0.06062830674568429\n",
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"image\t806\t-\tweight\t0.060448512391290884\n",
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"image\t832\t-\tweight\t0.06044200170224582\n",
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"image\t830\t-\tweight\t0.06028043498591822\n",
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"image\t808\t-\tweight\t0.06026752408221666\n",
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"image\t772\t-\tweight\t0.06021140705672949\n",
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"image\t750\t-\tweight\t0.060162025437143496\n",
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"image\t844\t-\tweight\t0.060101929899988096\n",
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"image\t784\t-\tweight\t0.06003388853666149\n",
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"Latent semantic no. 1\n",
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"image\t980\t-\tweight\t0.0754118902341204\n",
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"image\t1084\t-\tweight\t0.07362125136812943\n",
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"image\t1011\t-\tweight\t0.06967853969554338\n",
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"image\t997\t-\tweight\t0.06873541509302017\n",
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"image\t1065\t-\tweight\t0.06811244748351335\n",
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"image\t1184\t-\tweight\t0.06715708987702379\n",
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"image\t1053\t-\tweight\t0.06697645698011236\n",
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"image\t962\t-\tweight\t0.06677715910430597\n",
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"image\t1287\t-\tweight\t0.06650715541378867\n",
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"image\t968\t-\tweight\t0.065552599099574\n",
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"Latent semantic no. 2\n",
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"image\t0\t-\tweight\t0.0\n",
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"image\t1\t-\tweight\t0.0\n",
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"image\t2\t-\tweight\t0.0\n",
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"image\t3\t-\tweight\t0.0\n",
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"image\t4\t-\tweight\t0.0\n",
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"image\t5\t-\tweight\t0.0\n",
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"image\t6\t-\tweight\t0.0\n",
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"image\t7\t-\tweight\t0.0\n",
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"image\t8\t-\tweight\t0.0\n",
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"image\t9\t-\tweight\t0.0\n",
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"Latent semantic no. 3\n",
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"image\t218\t-\tweight\t0.0\n",
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"image\t219\t-\tweight\t0.0\n",
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"image\t220\t-\tweight\t0.0\n",
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"image\t221\t-\tweight\t0.0\n",
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"image\t222\t-\tweight\t0.0\n",
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"image\t223\t-\tweight\t0.0\n",
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"image\t224\t-\tweight\t0.0\n",
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"image\t225\t-\tweight\t0.0\n",
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"image\t226\t-\tweight\t0.0\n",
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"image\t227\t-\tweight\t0.0\n",
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"Latent semantic no. 4\n",
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"image\t4178\t-\tweight\t0.13411466061203375\n",
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"image\t4133\t-\tweight\t0.13381869962849108\n",
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"image\t4186\t-\tweight\t0.1328204635772519\n",
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"image\t4112\t-\tweight\t0.13246858130287337\n",
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"image\t4165\t-\tweight\t0.13047834274654035\n",
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"image\t4096\t-\tweight\t0.12970904464417174\n",
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"image\t4130\t-\tweight\t0.1276357487547854\n",
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"image\t4163\t-\tweight\t0.12611220410021198\n",
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"image\t4175\t-\tweight\t0.12609814994237703\n",
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"image\t4125\t-\tweight\t0.12492475451893506\n",
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"Latent semantic no. 5\n",
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"image\t0\t-\tweight\t0.0\n",
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"image\t1\t-\tweight\t0.0\n",
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"image\t2\t-\tweight\t0.0\n",
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"image\t3\t-\tweight\t0.0\n",
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"image\t4\t-\tweight\t0.0\n",
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"image\t5\t-\tweight\t0.0\n",
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"image\t6\t-\tweight\t0.0\n",
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"image\t7\t-\tweight\t0.0\n",
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"image\t8\t-\tweight\t0.0\n",
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"image\t9\t-\tweight\t0.0\n",
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"Latent semantic no. 6\n",
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"image\t0\t-\tweight\t0.0\n",
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"image\t1\t-\tweight\t0.0\n",
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"image\t2\t-\tweight\t0.0\n",
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"image\t3\t-\tweight\t0.0\n",
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"image\t4\t-\tweight\t0.0\n",
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"image\t5\t-\tweight\t0.0\n",
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"image\t6\t-\tweight\t0.0\n",
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"image\t7\t-\tweight\t0.0\n",
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"image\t8\t-\tweight\t0.0\n",
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"image\t9\t-\tweight\t0.0\n",
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"Latent semantic no. 7\n",
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"image\t0\t-\tweight\t0.0\n",
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"image\t1\t-\tweight\t0.0\n",
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"image\t2\t-\tweight\t0.0\n",
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"image\t3\t-\tweight\t0.0\n",
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"image\t4\t-\tweight\t0.0\n",
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"image\t5\t-\tweight\t0.0\n",
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"image\t6\t-\tweight\t0.0\n",
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"image\t7\t-\tweight\t0.0\n",
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"image\t8\t-\tweight\t0.0\n",
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"image\t9\t-\tweight\t0.0\n",
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"Latent semantic no. 8\n",
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"image\t0\t-\tweight\t0.0\n",
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"image\t1\t-\tweight\t0.0\n",
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"image\t2\t-\tweight\t0.0\n",
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"image\t3\t-\tweight\t0.0\n",
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"image\t4\t-\tweight\t0.0\n",
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"image\t5\t-\tweight\t0.0\n",
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"image\t6\t-\tweight\t0.0\n",
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"image\t7\t-\tweight\t0.0\n",
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"image\t8\t-\tweight\t0.0\n",
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"image\t9\t-\tweight\t0.0\n",
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"Latent semantic no. 9\n",
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"image\t0\t-\tweight\t0.0\n",
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"image\t1\t-\tweight\t0.0\n",
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"image\t2\t-\tweight\t0.0\n",
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"image\t3\t-\tweight\t0.0\n",
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"image\t4\t-\tweight\t0.0\n",
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"image\t5\t-\tweight\t0.0\n",
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"image\t6\t-\tweight\t0.0\n",
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"image\t7\t-\tweight\t0.0\n",
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"image\t8\t-\tweight\t0.0\n",
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"image\t9\t-\tweight\t0.0\n",
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"Showing feature-weight latent semantic\n",
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"Latent semantic no. 0\n",
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"feature\t0\t-\tweight\t0.07577182824380883\n",
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"feature\t9\t-\tweight\t0.07573677778472039\n",
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"feature\t3\t-\tweight\t0.07557126037394385\n",
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"feature\t6\t-\tweight\t0.0753781982199277\n",
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"feature\t7\t-\tweight\t0.0001951950616295707\n",
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"feature\t4\t-\tweight\t0.00017549416192999285\n",
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"feature\t1\t-\tweight\t0.00012194961415249631\n",
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"feature\t2\t-\tweight\t4.287652912002155e-06\n",
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"feature\t8\t-\tweight\t-2.314815116961173e-06\n",
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"feature\t5\t-\tweight\t-5.197417109414247e-06\n",
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"Latent semantic no. 1\n",
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"feature\t9\t-\tweight\t0.09115512060365509\n",
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"feature\t0\t-\tweight\t0.09113096158559393\n",
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"feature\t3\t-\tweight\t0.09044159243667037\n",
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"feature\t6\t-\tweight\t0.09018059343754826\n",
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"feature\t7\t-\tweight\t0.0021130646053269977\n",
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"feature\t4\t-\tweight\t0.002030234496532767\n",
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"feature\t1\t-\tweight\t0.002009281088063933\n",
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"feature\t5\t-\tweight\t-0.0006594073704548895\n",
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"feature\t2\t-\tweight\t-0.0006852646011520126\n",
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"feature\t8\t-\tweight\t-0.0007029010314333884\n",
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"Latent semantic no. 2\n",
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"feature\t2\t-\tweight\t0.0017202269882332225\n",
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"feature\t5\t-\tweight\t0.0012782693995776035\n",
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"feature\t8\t-\tweight\t0.0011056757480729573\n",
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"feature\t1\t-\tweight\t-0.008219352401356154\n",
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"feature\t7\t-\tweight\t-0.0082326697588083\n",
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"feature\t6\t-\tweight\t-0.052967486759999564\n",
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"feature\t0\t-\tweight\t-0.053269849112101635\n",
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"feature\t3\t-\tweight\t-0.053314794168011104\n",
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"feature\t9\t-\tweight\t-0.054790922702571875\n",
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"Latent semantic no. 3\n",
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"feature\t8\t-\tweight\t0.0012457435033955949\n",
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"feature\t5\t-\tweight\t0.0011302318267326496\n",
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"feature\t2\t-\tweight\t0.0008915556276299796\n",
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"feature\t1\t-\tweight\t-0.0067143893348969585\n",
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"feature\t7\t-\tweight\t-0.006979411165292033\n",
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"feature\t4\t-\tweight\t-0.007115085250947199\n",
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"feature\t9\t-\tweight\t-0.04627063193585373\n",
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"feature\t0\t-\tweight\t-0.04669584380231813\n",
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"feature\t3\t-\tweight\t-0.05358789010258499\n",
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"feature\t6\t-\tweight\t-0.05372707309592606\n",
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"Latent semantic no. 4\n",
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"feature\t9\t-\tweight\t0.06636728404803105\n",
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"feature\t0\t-\tweight\t0.06602164959781295\n",
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"feature\t2\t-\tweight\t3.412235539925601e-05\n",
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"feature\t8\t-\tweight\t3.0388889414075837e-05\n",
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"feature\t5\t-\tweight\t-3.5221294849889635e-05\n",
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"Latent semantic no. 5\n",
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"feature\t2\t-\tweight\t-0.0004406092931454461\n",
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"feature\t8\t-\tweight\t-0.0004885796160427777\n",
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"feature\t9\t-\tweight\t-0.06196505846576572\n",
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"Latent semantic no. 6\n",
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"feature\t8\t-\tweight\t0.001098350913411075\n",
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"feature\t2\t-\tweight\t0.0010016779555276794\n",
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"feature\t7\t-\tweight\t-0.0061876362657868585\n",
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"feature\t0\t-\tweight\t-0.06848064266828655\n",
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"feature\t6\t-\tweight\t-0.0686464268816822\n",
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"feature\t9\t-\tweight\t-0.0692640377395642\n",
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"Latent semantic no. 7\n",
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"feature\t5\t-\tweight\t0.0017254022262197148\n",
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"feature\t8\t-\tweight\t0.001702794313355738\n",
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"feature\t2\t-\tweight\t0.0003159487432469688\n",
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"feature\t1\t-\tweight\t-0.0020164365697178\n",
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"feature\t4\t-\tweight\t-0.0027621541654151115\n",
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"feature\t7\t-\tweight\t-0.002853145862649653\n",
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"feature\t0\t-\tweight\t-0.06195980356747699\n",
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"feature\t3\t-\tweight\t-0.06385832819997592\n",
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"Latent semantic no. 8\n",
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"feature\t5\t-\tweight\t0.000579681022086685\n",
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"feature\t8\t-\tweight\t0.00023776162317446615\n",
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"feature\t2\t-\tweight\t-8.903068121134156e-05\n",
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"feature\t1\t-\tweight\t-0.003628410033754683\n",
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"feature\t4\t-\tweight\t-0.004042182279091933\n",
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"feature\t6\t-\tweight\t-0.07284859530849022\n",
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"feature\t3\t-\tweight\t-0.07317257962730919\n",
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"Latent semantic no. 9\n",
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"feature\t5\t-\tweight\t8.414336905221735e-05\n",
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"feature\t8\t-\tweight\t5.6427744439484355e-05\n",
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"feature\t2\t-\tweight\t-0.00016083066069906443\n",
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"feature\t1\t-\tweight\t-0.0028491737945443647\n",
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"feature\t4\t-\tweight\t-0.003057268122115886\n",
|
||||||
|
"feature\t7\t-\tweight\t-0.003069397622655647\n",
|
||||||
|
"feature\t0\t-\tweight\t-0.06533602471133236\n",
|
||||||
|
"feature\t3\t-\tweight\t-0.06579569084919401\n",
|
||||||
|
"feature\t6\t-\tweight\t-0.06579792129352352\n",
|
||||||
|
"feature\t9\t-\tweight\t-0.06583901427338712\n",
|
||||||
|
"Showing label-weight latent semantic\n",
|
||||||
|
"Latent semantic no. 0\n",
|
||||||
|
"label\t3\t-\tweight\t1.0\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"label\t9\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 1\n",
|
||||||
|
"label\t5\t-\tweight\t0.9999999999999999\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"label\t9\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 2\n",
|
||||||
|
"label\t1\t-\tweight\t0.9999999999999998\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"label\t9\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 3\n",
|
||||||
|
"label\t0\t-\tweight\t0.9999999999999994\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"label\t9\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 4\n",
|
||||||
|
"label\t94\t-\tweight\t1.0000000000000007\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 5\n",
|
||||||
|
"label\t55\t-\tweight\t1.0\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 6\n",
|
||||||
|
"label\t12\t-\tweight\t0.9999999999999998\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 7\n",
|
||||||
|
"label\t63\t-\tweight\t0.9999999999999997\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 8\n",
|
||||||
|
"label\t46\t-\tweight\t1.0\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n",
|
||||||
|
"Latent semantic no. 9\n",
|
||||||
|
"label\t93\t-\tweight\t1.0000000000000002\n",
|
||||||
|
"label\t0\t-\tweight\t0.0\n",
|
||||||
|
"label\t1\t-\tweight\t0.0\n",
|
||||||
|
"label\t2\t-\tweight\t0.0\n",
|
||||||
|
"label\t3\t-\tweight\t0.0\n",
|
||||||
|
"label\t4\t-\tweight\t0.0\n",
|
||||||
|
"label\t5\t-\tweight\t0.0\n",
|
||||||
|
"label\t6\t-\tweight\t0.0\n",
|
||||||
|
"label\t7\t-\tweight\t0.0\n",
|
||||||
|
"label\t8\t-\tweight\t0.0\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"selected_feature_model = valid_feature_models[\n",
|
"selected_feature_model = valid_feature_models[\n",
|
||||||
" str(input(\"Enter feature model - one of \" + str(list(valid_feature_models.keys()))))\n",
|
" str(input(\"Enter feature model - one of \" + str(list(valid_feature_models.keys()))))\n",
|
||||||
@ -59,7 +401,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.10.5"
|
"version": "3.11.4"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@ -2,7 +2,7 @@
|
|||||||
"cells": [
|
"cells": [
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 197,
|
"execution_count": 207,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -21,7 +21,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 198,
|
"execution_count": 208,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@ -35,7 +35,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 199,
|
"execution_count": 209,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@ -45,14 +45,14 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 200,
|
"execution_count": 210,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"image_sim-cm_fd-kmeans-10-semantics.json loaded\n"
|
"cm_fd-cp-10-semantics.json loaded\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@ -109,7 +109,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 201,
|
"execution_count": 211,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@ -200,7 +200,37 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 202,
|
"execution_count": 233,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"def extract_similarities_ls2(data, label):\n",
|
||||||
|
"\n",
|
||||||
|
" LS = np.array(data[\"label-semantic\"])\n",
|
||||||
|
" S = np.array(data[\"semantics-core\"])\n",
|
||||||
|
"\n",
|
||||||
|
" if len(S.shape) == 1:\n",
|
||||||
|
" S = np.diag(S)\n",
|
||||||
|
"\n",
|
||||||
|
" comparison_vector = LS[label]\n",
|
||||||
|
" comparison_feature_space = np.matmul(LS, S)\n",
|
||||||
|
"\n",
|
||||||
|
" distances = []\n",
|
||||||
|
"\n",
|
||||||
|
" n = len(comparison_feature_space)\n",
|
||||||
|
" for i in range(n):\n",
|
||||||
|
" if i != label:\n",
|
||||||
|
" distances.append({\"label\": i, \"distance\": math.dist(comparison_vector, comparison_feature_space[i])})\n",
|
||||||
|
" \n",
|
||||||
|
" distances = sorted(distances, key=lambda x: x[\"distance\"], reverse=False)[:knum]\n",
|
||||||
|
"\n",
|
||||||
|
" for x in distances:\n",
|
||||||
|
" print(x)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 234,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@ -238,23 +268,23 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 203,
|
"execution_count": 235,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"{'image_id': 1596, 'label': 13, 'distance': 10.699607616770502}\n",
|
"{'label': 2, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 81, 'label': 0, 'distance': 11.42726536242745}\n",
|
"{'label': 4, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 3045, 'label': 57, 'distance': 12.5398964971548}\n",
|
"{'label': 6, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 311, 'label': 1, 'distance': 13.106117374912184}\n",
|
"{'label': 7, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 2671, 'label': 47, 'distance': 14.239608716065096}\n",
|
"{'label': 8, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 1923, 'label': 23, 'distance': 15.409297843450119}\n",
|
"{'label': 9, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 3471, 'label': 74, 'distance': 15.417780769047727}\n",
|
"{'label': 10, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 4108, 'label': 94, 'distance': 17.628035952336866}\n",
|
"{'label': 11, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 1547, 'label': 12, 'distance': 19.28128511589925}\n",
|
"{'label': 13, 'distance': 0.9999999999999999}\n",
|
||||||
"{'image_id': 3115, 'label': 59, 'distance': 19.762521112658867}\n"
|
"{'label': 14, 'distance': 0.9999999999999999}\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@ -268,6 +298,10 @@
|
|||||||
" case \"label_sim\":\n",
|
" case \"label_sim\":\n",
|
||||||
"\n",
|
"\n",
|
||||||
" extract_similarities_ls3(selected_dim_reduction_method, data, label)\n",
|
" extract_similarities_ls3(selected_dim_reduction_method, data, label)\n",
|
||||||
|
"\n",
|
||||||
|
" case \"cp\":\n",
|
||||||
|
"\n",
|
||||||
|
" extract_similarities_ls2(data, label)\n",
|
||||||
" "
|
" "
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user