2023-06-21 13:39:01 +02:00
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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": "f7b2b9cc",
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"metadata": {},
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"source": [
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2024-04-09 09:46:32 +02:00
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"## Inżynieria uczenia maszynowego\n",
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"### 19 czerwca 2024\n",
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"# 15. Google Cloud Vertex AI"
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2023-06-21 13:39:01 +02:00
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]
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},
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{
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"cell_type": "markdown",
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"id": "6ee5fc51",
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"metadata": {},
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"source": [
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"### Wprowadzenie\n",
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"https://cloud.google.com/vertex-ai/docs/beginner/beginners-guide"
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]
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},
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{
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"attachments": {
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"image.png": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAACyCAYAAACgGWHrAAAgAElEQVR4nO2df3SU1Z3/X09+wAQIDog4o6gMYm2oWJLCfp3sulvGL1omZfc4WdwlWdyjQbtKvu7WRFpN5HsOJvYsTuh3kWhrie6Rk9Cj34Tvls2wLWXYFjdhi5vR6hItlKGFdoaCZDCBDOTH/f4xk8lknvmVkEDQz+ucHJiZ5977ufe5z/u5z32e5301pZRCEAQhioyrHYAgCJMPEQZBEHSIMAiCoEOEQRAEHSIMgiDoEGEQBEGHCIMgCDpEGARB0CHCIAiCDhEGQRB0iDAIgqBDhEEQBB0iDIIg6BBhEARBhwiDIAg6RBgEQdAhwiAIgg4RBkEQdIgwCIKgQ4RBEAQdIgyCIOgQYRAEQYcIgyAIOkQYBEHQ8TkShgCdu5poOui/2oEIwqTncyMMgd3VLHKUUmqtoGUM2tD+goamaWgvtI9/cIIwyUhbGCIHRhp/xTtHf+RN9IFnzLdRthBMywuwGCekCEH4zJB1tQO4YsxzsP2ILNMpCOmQ9ojB+rxCqai/9prwLw4aT4z8rXmNaYLCFQThSjBhcwz+ncWhS4OHmhhxYXGyiWJNQ9OKaToJHKxF0zQKN4Z/31iov6To8eJ6aR33LTaHfrujkHUvtNAZSFxm53v1lC42o2mloTmFcDmaVsuIi5V+P+6Xyym2Lgj9bl7EfY/W4U73aqink5YX1lF4h5Y0NkG4lrj6k49ZRmwrbFgXhj8vtGJbYcNmNIQ+97RTu2IBRRsacH8YPlqPttOwsZhFK8txnYyT55FtlK0sp+lDPxAk2J+g7KCHuvvzue+peloOgnWFDeuMTtxvVHJffjENR1PE3tNO7YpFFG9soJ1Q3Hk94diWleM6M+rWEITJgRor7TUKUOBQjSf0P/uaHKHfVzcqX/QPJxqVI066tk2Ett/UFrVxr9r3jCn0/T01qq0r/HVXh3KuDG1veqJVDX0dKROUZbVTNbcfVj7vMeXrjY63Rg2V4HurJPTdkiq1bygT1aVaw2Want2nepPEFylv5TZ1uC/8ZXebqrkntG3+lo7RtqogTAom9+RjwE3LS34gH+erVViH7iYY86l40Unjnko8rzbges5OybzohFU0vlWBNUX2ptWNKNUY862RgvxCoAX/UT8BINGMic/vDWdkxjzUkjOsrH9jH1YfYLakWVFBmFxc/UuJZHzkoR4AO4VLYn5bUkgxAC0cPh6bMCf9MgKdtLwUNcegaZhLWtJKmr+8NCQ+bxRTYF1H5RsttH8UwPBFG7blNmxflPuiwrXJ5BaGCMkP9M4TY3ya8YyL8mWLKN5Qj2eWnarNTpybnVStzU8v/ZIKXB80UrHSgvdgA3WPFlOYN4ucO4qo3NlJcGxRCcJVZ3JfSkToTfprgWVst0c9O6qpPwqsbmTfWyUMDfz9O9uo3eFJKw/jXSU4XSXUnOnEc8iDe0cN23a6qCvpwJfloXG13LoVrj0mfsQQ6E1xWCdhfh4lALhoey/mt/faaAbAgWUeY8BPZ3v44F9sIXo2oDfRXYwReHG9VEfdS3W4PgLDnDysK0uoajqMa3M+4KdpdxvyZoZwLTJhwmCyFIQm7fa20PJeeFDd78f1yjbiXcEbssJn1vbDeCOZ2Ch9wgR4qHyuDs/QswGBThq2OPEApifKsI9JGExYFg+V2YanJ/Tf4NEW6l5JZ45hFngrqdxQSdnWFoYfWwjgO+0LlXCHOeHEpSBMasZ8PyPF7UqlOpQzfNtuxJ/JpExx0vW6q8Lfx9wWjLr9ByjLXXnD292zXrVG5TF8u3L4lqQ+3qjfPE5ljY0PlMkUvkW6xKmGbjjGvZ3qbVQlpvD3C63KtsKmbHeF05pKVKN3zK0rCFeVCbyUyKdidxvOR6zhYboF6yNO9nkaKY+ztWF5Na6tJeSZAEzkzQg/4DTDStXewzRvKsN2lwnvh534F1op29TM4T3bxjhaCLOkAndnIxWr8kJn9oVWyjbvw7O7knyA99rojPcA1RDzS2jsDMVmpR33XjfuoAXHE9vY52mkZP5lxCYIVxFNKSVvFgmCMIJr5HalIAhXEhEGQRB0iDAIgqBDhEEQBB0iDIIg6BBhEARBhwiDIAg6RBgEQdAhwiAIgg4RBkEQdIgwCIKgQ4RBEAQdIgyCIOgQYRAEQYcIgyAIOkQYBEHQIcIgCIIOEQZBEHR8NoQh4KXzWvJp93fivUZXw/Z/5CWd0Ntf0CjeOb47ZSLyTB8/TQ9p1B68SsVfYdIUhlCjDC3hFvt3tRurc+c6bJtdaaz8dHV27sgOHcS12ca6nZ3jlPvo6nRZB1ePC+fydTR+NLbkAJxsolirpf0ysvh8cHWFKM2VqEyUvKXCi7/4aXrIjPdpRdU9ExjZKMh7Yh++qx1E2hiwb/Fhv9phjIUZdpy+azJyYbSM3nHepxpXo2rao7460agcrFfOrQ5lwaEafxH63BpZWv6Y2r7CNDJNmN7ORlWx0hJaz+GuErXN0xuVZ5Vq/FGFsi9EYcpTJVs7IsvSj4ioyRFZ76FtE8rxSrPatia0/oRlZYVq9Q7lF2fditNtyhneVl9+VJ1OJIlVKaW8rapiVVQ+h7qUUm2qJrrM1Y3KNxRjk08pj1Plr9iujkUy6VDOJXa1/YhSSvWqw03humNR9mdao7aLbveYOrXXRMoJ0aZqcKjGE/FjUapLtW0uUXmmUBvbn2lWx/rUcFs+71QVy03h9hrKK5x192HV+IxdWdDvn0gdY/dTVAxD/SG6XS33lIXbTs/IPJO0T6q4ouvUXqNYvU01bw23wUK7qviRrqXVUL+verM1HKtJ5a3Zpjq6h34fGY/1kW2qoyvUvs2PoCp+MhRBh3IuiT4W2lSNKWZtlrT6ql1VtMSLc3wYR2EwqZLXOpSvq0v1hhtj/Y/CO/jIdmU3xVkEpnefqjJZVc2B0HZd7iqVP7RdJM/DqksppbzblSPB4jaxwsA9VarVp5RSXWrf8/nKFFkkJjb2DuW8x6RK3gw1cNchp7KbqtS+3jh1ShZrb4equceqqlyhTtt7pFGVmMpU82kViSn6IBn+3KGcS2xhIVAhoVgZEoquH61XpntqVFuXUqrPp5qfMCn764k7bKROCYUhfiwdW6zKtLZRHesNldP6rFXlb2pTvdFt6e1SXd2xefWqfc+alHVTW2j/dO1TVVEdPp4wKDXUrlF94XSrWm+yqhp3uF0/2K5KYg8UXbsla5/UcY2oU3uNguF9N2K/xmln09rt6nCXUqrvmNq+Wh/PvtNKKdWlDr9Wokzh/eBrcijTi+Gli45sVzZQ+VvCnz1OlT9if40sL15f7VVKKV+rqronX9W0xztVXj7jOPlYRvlj+ZiMRgwYsa0qo/5AB0HAf8hFx5O20JLx0RgKqex0U/UnoeXijcuLsPs78EYWeSmn/LE8jADziyhe3RL1W2IcT5VjNwEYsdmL8X/gjb+G5LsunLk11KwNLYljXFpK6b21tEfWyYyqU7JYP3SxzVxO2crQgnSGhQ7qdpeQlzLSfBxPQtP+0KJ8nv2NmFfbsODH/XY9pZsqsBqBLBOOh8tx7Wkf57UwPbg251CzsQSLIVSO/elKCjY20xaesHE8WYZ9vhHjjNi0Bgo3dOJ+1hraP0YbRav8dHhHF6F/fyP1a2uoWB5u17vKqHzaS8Meb7JUSdondVy6Oq0upzy874zLiyge0QdHUv5kGXlGIMtC0YMOWo56R8RjmwNgJO+xSiqPNNB6FEzL7Cza34EX8O5vIr+lGdubbjyAv7ONWSusqZcyjOqrBgCTncoNBVS3tE3IqurjKAwjl6o33mun7CUXbcEAHQfaKF+hkwXAAB/Ws866IDyRWUjt+AWUmn7w713HgshEqpnSt+HwiaFOFF2nxLEGTnjxZ0VvbcC01EbenNQhWJaXYNjlxouXjj0WSleERCoYhLr7c4Ynea3VcMA7znMpQfAbyTFEfTXHjAUv/jPhz1k58RICYOjvpP7xwkj7Fb4whhD6g5CbQ3QI5nkW3P7kApOsfVLGlaROYyUYhFm5I2qB+Q53qB0XFmA/
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}
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},
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|
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"cell_type": "markdown",
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"id": "91b3327d",
|
|
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"metadata": {},
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|
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"source": [
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|
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|
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"### Tutoriale\n",
|
|
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|
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"https://console.cloud.google.com/vertex-ai -> View Tutorials\n",
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""
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]
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},
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{
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"attachments": {
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"image.png": {
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"image/png": "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}
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},
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"cell_type": "markdown",
|
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|
"id": "8a77edaf",
|
|
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|
"metadata": {},
|
|
|
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|
"source": [
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|
|
|
|
"### Tabular AutoML tutorial\n",
|
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|
|
""
|
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|
]
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},
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{
|
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|
"cell_type": "markdown",
|
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|
"id": "f666b76e",
|
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|
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|
"metadata": {},
|
|
|
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|
"source": [
|
|
|
|
|
"### Najczęstsze problemy\n",
|
|
|
|
|
"- trenowanie z użyciem AutoML sięnie powiedzie, jeśli nie wybierzesz maszyn z GPU, np. typu G1 albo A2\n",
|
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|
|
"- mszynę wybieramy w ostatnim kroku ustawień trenowania, po rozwinięciu dodatkowych ustawień\n",
|
|
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|
|
"- jeśli na liście nie widzisz maszyn z GPU to:\n",
|
|
|
|
|
" - zmień region, np. w us-central1 są dostępne A2\n",
|
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|
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" - być może musisz zwiększyć quota na maszyny A2 w https://console.cloud.google.com/apis/api/compute.googleapis.com/quotas\n",
|
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|
|
"- po uruchomieniu trenowania musisz trochę poczekać aż ono się rozpocznie, cierpliwości"
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]
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}
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],
|
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"metadata": {
|
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|
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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": "3.9.16"
|
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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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