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Hospitals and data
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-12
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‎projects/aries-fl/notebooks/.DS_Store

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‎projects/aries-fl/notebooks/hospital/Hospital.ipynb renamed to ‎projects/aries-fl/notebooks/hospital/Hospital1.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"id": "terminal-breath",
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"id": "indoor-valley",
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"metadata": {},
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"source": [
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"# Hospital \n",
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"# Hospital 1\n",
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"\n",
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"See hospital.py for full code"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "cathedral-operations",
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"id": "heated-typing",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "environmental-shuttle",
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"id": "enclosed-webmaster",
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"metadata": {},
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"outputs": [],
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"source": [
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"data_location = 'hospital1.csv'"
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"data_location = 'data/hospital1.csv'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "junior-northern",
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"id": "massive-envelope",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "approved-identification",
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"id": "colonial-quebec",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "amended-calibration",
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"id": "demanding-advice",
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"metadata": {},
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"source": [
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"## Copy from Researcher"
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "young-length",
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"id": "accepted-chamber",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "recognized-campus",
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"id": "magnetic-announcement",
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"metadata": {},
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"outputs": [
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{
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "accompanied-transformation",
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"id": "assumed-password",
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"metadata": {},
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"outputs": [],
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"source": []
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎projects/aries-fl/notebooks/hospital/Hospital2.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "completed-question",
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"metadata": {},
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"source": [
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"# Hospital 2\n",
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"\n",
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"See hospital.py for full code"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "cubic-international",
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"metadata": {},
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"outputs": [],
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"source": [
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"from hospital import Hospital\n",
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"import nest_asyncio\n",
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"\n",
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"nest_asyncio.apply()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "piano-joyce",
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"metadata": {},
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"outputs": [],
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"source": [
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"data_location = 'data/hospital2.csv'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "complex-direction",
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"metadata": {},
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"outputs": [],
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"source": [
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"WEBHOOK_HOST = \"0.0.0.0\"\n",
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"WEBHOOK_PORT = 8062\n",
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"WEBHOOK_BASE = \"\"\n",
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"ADMIN_URL = \"http://hospital1-agent:8061\"\n",
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"\n",
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"agent_config = {\n",
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" \"webhook_host\": WEBHOOK_HOST,\n",
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" \"webhook_port\": WEBHOOK_PORT,\n",
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" \"webhook_base\": WEBHOOK_BASE,\n",
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" \"admin_url\": ADMIN_URL\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "thirty-scratch",
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"metadata": {},
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"outputs": [],
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"source": [
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"hospital2 = Hospital(agent_config, data_location)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "afraid-marijuana",
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"metadata": {},
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"source": [
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"## Copy from Researcher"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "based-blackberry",
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"metadata": {},
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"outputs": [],
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"source": [
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"research_invite = {\"@type\": \"did:sov:BzCbsNYhMrjHiqZDTUASHg;spec/connections/1.0/invitation\", \"@id\": \"06fa0413-825f-4600-8bec-a582e5d75acc\", \"label\": \"Health Researcher\", \"serviceEndpoint\": \"http://172.17.0.1:8040\", \"recipientKeys\": [\"HrC95BgohtYLsTHjn6g4UspCx8tWzviGAg7PbvnRWHjZ\"]}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "dated-beverage",
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"metadata": {},
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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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"Connection Handler Called\n",
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"Connection b16c712d-640e-4948-8ac6-ac767f3cddc2 in State invitation\n",
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"Connection Handler Called\n",
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"Connection b16c712d-640e-4948-8ac6-ac767f3cddc2 in State request\n",
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"Connection Handler Called\n",
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"Connection b16c712d-640e-4948-8ac6-ac767f3cddc2 in State response\n",
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"Connection Handler Called\n",
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"Connection b16c712d-640e-4948-8ac6-ac767f3cddc2 in State active\n",
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"Pending connection moved to active. Challenging with auth policy if set\n",
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"Trusted Research Connection Established - b16c712d-640e-4948-8ac6-ac767f3cddc2\n",
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"ML Message from b16c712d-640e-4948-8ac6-ac767f3cddc2\n",
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"Open file\n",
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"learning\n",
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"untrained_model.pt\n",
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"HOSPITAL MODEL LOADED\n",
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"HOSPITAL IS TRAINING\n",
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"loss at epoch 0 : tensor(0.2577)\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:132: UserWarning: CUDA initialization: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:100.)\n",
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" allow_unreachable=True) # allow_unreachable flag\n"
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]
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},
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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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"loss at epoch 5000 : tensor(0.1234)\n",
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"loss at epoch 10000 : tensor(0.1123)\n",
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"loss at epoch 15000 : tensor(0.1070)\n",
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"loss at epoch 20000 : tensor(0.1005)\n",
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"loss at epoch 25000 : tensor(0.0970)\n",
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"loss at epoch 30000 : tensor(0.0950)\n",
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"loss at epoch 35000 : tensor(0.0935)\n",
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"loss at epoch 40000 : tensor(0.0925)\n",
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"loss at epoch 45000 : tensor(0.0917)\n",
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"Learnt \n",
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"Trained file open\n",
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"connection ID b16c712d-640e-4948-8ac6-ac767f3cddc2\n"
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]
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}
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],
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"source": [
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"hospital2.establish_research_connection(research_invite)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cardiovascular-typing",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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