Compare commits

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Author SHA1 Message Date
Andrew Ferlitsch b95c6bae8f fix: remove output 2023-11-08 23:14:27 +00:00
@@ -2,7 +2,7 @@
"cells": [
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@@ -118,7 +118,7 @@
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"metadata": {
"id": "C1ZEiJcophY0"
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@@ -183,19 +183,11 @@
},
{
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"execution_count": 3,
"execution_count": null,
"metadata": {
"id": "oM1iC_MfAts1"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated property [core/project].\n"
]
}
],
"outputs": [],
"source": [
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
"\n",
@@ -216,7 +208,7 @@
},
{
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"metadata": {
"id": "RfLtjhGNmKvA"
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@@ -257,7 +249,7 @@
},
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@@ -277,7 +269,7 @@
},
{
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@@ -312,7 +304,7 @@
},
{
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@@ -333,7 +325,7 @@
},
{
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@@ -351,7 +343,7 @@
},
{
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"metadata": {
"id": "zgVQcE0ewO8W"
},
@@ -363,7 +355,7 @@
},
{
"cell_type": "code",
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"metadata": {
"id": "1e6e1b98-a632-44a2-afb8-fc212018ef4f"
},
@@ -385,28 +377,18 @@
},
{
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"execution_count": null,
"metadata": {
"id": "2OUg-Qf8iFta"
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"outputs": [
{
"name": "stdout",
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"text": [
"Copying gs://cloud-samples-data/vertex-ai/dataset-management/datasets/bert_finetuning/wide_and_deep_trainer_container_tests_input.jsonl...\n",
"/ [1 files][ 14.1 KiB/ 14.1 KiB] \n",
"Operation completed over 1 objects/14.1 KiB. \n"
]
}
],
"outputs": [],
"source": [
"!gsutil cp gs://cloud-samples-data/vertex-ai/dataset-management/datasets/bert_finetuning/wide_and_deep_trainer_container_tests_input.jsonl ."
]
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": null,
"metadata": {
"id": "BNPapKXviHlE"
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@@ -422,291 +404,11 @@
},
{
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"execution_count": null,
"metadata": {
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"source": [
"# Peek at the data.\n",
"df = pd.DataFrame(records)\n",
@@ -715,7 +417,7 @@
},
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@@ -741,259 +443,11 @@
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" <script>\n",
" async function quickchart(key) {\n",
" const containerElement = document.querySelector('#' + key);\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" }\n",
" </script>\n",
"\n",
" <script>\n",
"\n",
"function displayQuickchartButton(domScope) {\n",
" let quickchartButtonEl =\n",
" domScope.querySelector('#df-1a15e67b-31cb-4138-bafe-7be1fd1413ef button.colab-df-quickchart');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"}\n",
"\n",
" displayQuickchartButton(document);\n",
" </script>\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" flex-wrap:wrap;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-1479f378-5477-42b8-a034-2ffa6ff5eac4 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-1479f378-5477-42b8-a034-2ffa6ff5eac4');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" textContent \\\n",
"0 Cats are good pets, for they are clean and are... \n",
"1 More RVs were seen in the storage lot than at ... \n",
"2 When he asked her favorite number, she answere... \n",
"3 Greetings from the real universe. \n",
"4 As he entered the church he could hear the sof... \n",
"\n",
" classificationAnnotation \\\n",
"0 {'displayName': 'FirstClass', 'annotationResou... \n",
"1 {'displayName': 'SecondClass', 'annotationReso... \n",
"2 {'displayName': 'FirstClass', 'annotationResou... \n",
"3 {'displayName': 'SecondClass', 'annotationReso... \n",
"4 {'displayName': 'FirstClass', 'annotationResou... \n",
"\n",
" dataItemResourceLabels \\\n",
"0 {'aiplatform.googleapis.com/ml_use': 'training'} \n",
"1 {'aiplatform.googleapis.com/ml_use': 'training'} \n",
"2 {'aiplatform.googleapis.com/ml_use': 'training'} \n",
"3 {'aiplatform.googleapis.com/ml_use': 'training'} \n",
"4 {'aiplatform.googleapis.com/ml_use': 'training'} \n",
"\n",
" embedding \n",
"0 [0.037178341299295425, -0.010241042822599411, ... \n",
"1 [-0.011439577676355839, -0.032596345990896225,... \n",
"2 [0.020134523510932922, -0.0022515689488500357,... \n",
"3 [-0.016334038227796555, 0.0007779737352393568,... \n",
"4 [0.005115862935781479, -0.034255024045705795, ... "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"# Peek at the data.\n",
"df.head()"
@@ -1010,7 +464,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": null,
"metadata": {
"id": "245bc8cd-038b-484a-acb2-3a705d4cc4cf"
},
@@ -1050,7 +504,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": null,
"metadata": {
"id": "494079df-d8f6-4a6a-b26b-0b0477791adc"
},
@@ -1078,44 +532,22 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": null,
"metadata": {
"id": "50497681-6112-4147-a13e-afedb72b54f5"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[docid:20] [0.6497225761413574] -- Hit me with your pet shark!...\n",
"[docid:24] [0.6352805495262146] -- Today I dressed my unicorn in preparation for the race....\n",
"[docid:30] [0.6284741163253784] -- A kangaroo is really just a rabbit on steroids....\n",
"Latency (ms): 97.6724624633789\n"
]
}
],
"outputs": [],
"source": [
"search(\"tell me about an animal\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": null,
"metadata": {
"id": "c814f835-3e2a-4366-a334-ccc636f00b83"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[docid:9] [0.6281773447990417] -- They say people remember important moments in their life well, yet no one even remembers their own birth....\n",
"[docid:19] [0.5852192640304565] -- The near-death experience brought new ideas to light....\n",
"[docid:36] [0.5711853504180908] -- The most exciting eureka moment I've had was when I realized that the instructions on food packets were just guidelines....\n",
"Latency (ms): 100.8751392364502\n"
]
}
],
"outputs": [],
"source": [
"search(\"tell me about an important moment or event in your life\")"
]