65 lines
1.1 KiB
Plaintext
65 lines
1.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "a35b6bf3",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np"
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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": 5,
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"id": "ea7529b2",
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"metadata": {},
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"outputs": [],
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"source": [
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"iris = np.loadtxt(\"../supplement_files/iris.csv\",delimiter=',')\n"
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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": "c3166860",
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"metadata": {},
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"outputs": [],
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"source": [
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"# 4d)\n",
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"\n"
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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": "8f9a70f7",
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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": "nnw (3.14.x)",
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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": "3.14.8"
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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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