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75 lines
1.4 KiB
75 lines
1.4 KiB
3 years ago
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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": "2e848ca9-c915-4aa2-a7cc-a5654ed06863",
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"metadata": {},
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"source": [
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"# Demonstration of Training and Testing"
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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": "a9506e99-a947-4f69-8355-a3ce696793fa",
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"metadata": {},
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"outputs": [],
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"source": [
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"from main import train, test\n",
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"import pickle"
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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": "de500d9e-40d1-4b6b-900f-96c2ec69e464",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = pickle.load(open(\"data.pkl\", \"rb\"))"
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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": "39ca7791-c844-4231-9f3b-e8ae80fe8103",
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"metadata": {},
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"outputs": [],
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"source": [
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"mud_point = train(data)"
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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": "8d8c70ab-d055-418c-b67e-ba5109d989f3",
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"metadata": {},
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"outputs": [],
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"source": [
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"test(mud_point)"
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]
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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 (ipykernel)",
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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": "3.9.7"
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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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