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fix: Remove example ouptut (#3732)
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‎notebooks/community/migration/UJ7 AutoML for natural language with Vertex AI Text Entity Extraction.ipynb‎

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@@ -109,27 +109,27 @@
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"id": "3Sq3sGfdt89E"
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},
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"source": [
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"## Before you begin\r\n",
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"\r\n",
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"### GPU run-time\r\n",
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"\r\n",
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"*Make sure you're running this notebook in a GPU runtime if you have that option. In Colab, select* **Runtime > Change Runtime Type > GPU**\r\n",
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"\r\n",
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"### Set up your GCP project\r\n",
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"\r\n",
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"**The following steps are required, regardless of your notebook environment.**\r\n",
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"\r\n",
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"1. [Select or create a GCP project](https://console.cloud.google.com/cloud-resource-manager). When you first create an account, you get a $300 free credit towards your compute/storage costs.\r\n",
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"\r\n",
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"2. [Make sure that billing is enabled for your project.](https://cloud.google.com/billing/docs/how-to/modify-project)\r\n",
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"\r\n",
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"3. [Enable the Vertex APIs and Compute Engine APIs.](https://console.cloud.google.com/flows/enableapi?apiid=ml.googleapis.com,compute_component)\r\n",
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"\r\n",
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"4. [Google Cloud SDK](https://cloud.google.com/sdk) is already installed in Google Cloud Notebooks.\r\n",
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"\r\n",
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"5. Enter your project ID in the cell below. Then run the cell to make sure the\r\n",
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"Cloud SDK uses the right project for all the commands in this notebook.\r\n",
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"\r\n",
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"## Before you begin\n",
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"\n",
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"### GPU run-time\n",
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"\n",
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"*Make sure you're running this notebook in a GPU runtime if you have that option. In Colab, select* **Runtime > Change Runtime Type > GPU**\n",
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"\n",
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"### Set up your GCP project\n",
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"\n",
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"**The following steps are required, regardless of your notebook environment.**\n",
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"\n",
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"1. [Select or create a GCP project](https://console.cloud.google.com/cloud-resource-manager). When you first create an account, you get a $300 free credit towards your compute/storage costs.\n",
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"\n",
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"2. [Make sure that billing is enabled for your project.](https://cloud.google.com/billing/docs/how-to/modify-project)\n",
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"\n",
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"3. [Enable the Vertex APIs and Compute Engine APIs.](https://console.cloud.google.com/flows/enableapi?apiid=ml.googleapis.com,compute_component)\n",
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"\n",
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"4. [Google Cloud SDK](https://cloud.google.com/sdk) is already installed in Google Cloud Notebooks.\n",
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"\n",
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"5. Enter your project ID in the cell below. Then run the cell to make sure the\n",
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"Cloud SDK uses the right project for all the commands in this notebook.\n",
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"\n",
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"**Note**: Jupyter runs lines prefixed with `!` as shell commands, and it interpolates Python variables prefixed with `$` into these commands."
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]
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},
@@ -240,11 +240,11 @@
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"id": "9zpjPUOhvRQz"
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},
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"source": [
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"### Authenticate your GCP account\r\n",
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"\r\n",
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"**If you are using Google Cloud Notebooks**, your environment is already\r\n",
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"authenticated. Skip this step.\r\n",
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"\r\n",
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"### Authenticate your GCP account\n",
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"\n",
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"**If you are using Google Cloud Notebooks**, your environment is already\n",
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"authenticated. Skip this step.\n",
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"\n",
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"*Note: If you are on an Vertex notebook and run the cell, the cell knows to skip executing the authentication steps.*"
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]
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},
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"id": "gM-YixlLmDy9"
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},
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"source": [
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"### Make a batch prediction file\r\n",
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"\r\n"
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"### Make a batch prediction file\n"
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]
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},
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{
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"! gsutil cat $gcs_test_item"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "sPupiwqN_jAB"
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},
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"source": [
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"*Example output*:\n",
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"```\n",
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"{\"content\": \"gs://migration-ucaip-trainingaip-20210301154552/test.txt\", \"mime_type\": \"text/plain\"}\n",
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"Molecular basis of hexosaminidase A deficiency and pseudodeficiency in the Berks County Pennsylvania Dutch.\\tFollowing the birth of two infants with Tay-Sachs disease ( TSD ) , a non-Jewish , Pennsylvania Dutch kindred was screened for TSD carriers using the biochemical assay . A high frequency of individuals who appeared to be TSD heterozygotes was detected ( Kelly et al . , 1975 ) . Clinical and biochemical evidence suggested that the increased carrier frequency was due to at least two altered alleles for the hexosaminidase A alpha-subunit . We now report two mutant alleles in this Pennsylvania Dutch kindred , and one polymorphism . One allele , reported originally in a French TSD patient ( Akli et al . , 1991 ) , is a GT-- > AT transition at the donor splice-site of intron 9 . The second , a C-- > T transition at nucleotide 739 ( Arg247Trp ) , has been shown by Triggs-Raine et al . ( 1992 ) to be a clinically benign \" pseudodeficient \" allele associated with reduced enzyme activity against artificial substrate . Finally , a polymorphism [ G-- > A ( 759 ) ] , which leaves valine at codon 253 unchanged , is described\n",
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"```\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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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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"metadata": {
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"id": "sPupiwqN_jAB"
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},
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"source": [
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"*Example output*:\n",
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"```\n",
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"{\n",
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" \"parent\": \"projects/migration-ucaip-training/locations/us-central1\",\n",
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" \"batchPredictionJob\": {\n",
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" \"displayName\": \"ten_20210301154552\",\n",
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" \"model\": \"projects/116273516712/locations/us-central1/models/4400738115568795648\",\n",
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" \"inputConfig\": {\n",
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" \"instancesFormat\": \"jsonl\",\n",
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" \"gcsSource\": {\n",
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" \"uris\": [\n",
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" \"gs://migration-ucaip-trainingaip-20210301154552/test.jsonl\"\n",
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" ]\n",
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" }\n",
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" },\n",
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" \"outputConfig\": {\n",
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" \"predictionsFormat\": \"jsonl\",\n",
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" \"gcsDestination\": {\n",
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" \"outputUriPrefix\": \"gs://migration-ucaip-trainingaip-20210301154552/batch_output/\"\n",
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" }\n",
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" },\n",
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" \"dedicatedResources\": {\n",
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" \"machineSpec\": {\n",
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" \"machineType\": \"n1-standard-2\"\n",
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" },\n",
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" \"startingReplicaCount\": 1,\n",
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" \"maxReplicaCount\": 1\n",
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" }\n",
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" }\n",
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"}\n",
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"```\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"print(MessageToJson(request.__dict__[\"_pb\"]))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "sPupiwqN_jAB"
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},
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"source": [
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"*Example output*:\n",
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"```\n",
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"{\n",
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" \"name\": \"projects/116273516712/locations/us-central1/batchPredictionJobs/3588251799200464896\",\n",
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" \"displayName\": \"ten_20210301154552\",\n",
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" \"model\": \"projects/116273516712/locations/us-central1/models/4400738115568795648\",\n",
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" \"inputConfig\": {\n",
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" \"instancesFormat\": \"jsonl\",\n",
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" \"gcsSource\": {\n",
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" \"uris\": [\n",
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" \"gs://migration-ucaip-trainingaip-20210301154552/test.jsonl\"\n",
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" ]\n",
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" }\n",
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" },\n",
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" \"outputConfig\": {\n",
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" \"predictionsFormat\": \"jsonl\",\n",
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" \"gcsDestination\": {\n",
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" \"outputUriPrefix\": \"gs://migration-ucaip-trainingaip-20210301154552/batch_output/\"\n",
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" }\n",
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" },\n",
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" \"state\": \"JOB_STATE_PENDING\",\n",
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" \"completionStats\": {\n",
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" \"incompleteCount\": \"-1\"\n",
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" },\n",
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" \"createTime\": \"2021-03-01T17:59:42.777083Z\",\n",
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" \"updateTime\": \"2021-03-01T17:59:42.777083Z\"\n",
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"}\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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"print(MessageToJson(request.__dict__[\"_pb\"]))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "sPupiwqN_jAB"
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},
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"source": [
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"*Example output*:\n",
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"```\n",
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"{\n",
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" \"name\": \"projects/116273516712/locations/us-central1/batchPredictionJobs/3588251799200464896\",\n",
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" \"displayName\": \"ten_20210301154552\",\n",
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" \"model\": \"projects/116273516712/locations/us-central1/models/4400738115568795648\",\n",
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" \"inputConfig\": {\n",
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" \"instancesFormat\": \"jsonl\",\n",
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" \"gcsSource\": {\n",
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" \"uris\": [\n",
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" \"gs://migration-ucaip-trainingaip-20210301154552/test.jsonl\"\n",
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" ]\n",
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" }\n",
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" },\n",
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" \"outputConfig\": {\n",
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" \"predictionsFormat\": \"jsonl\",\n",
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" \"gcsDestination\": {\n",
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" \"outputUriPrefix\": \"gs://migration-ucaip-trainingaip-20210301154552/batch_output/\"\n",
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" }\n",
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" },\n",
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" \"state\": \"JOB_STATE_PENDING\",\n",
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" \"completionStats\": {\n",
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" \"incompleteCount\": \"-1\"\n",
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" },\n",
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" \"createTime\": \"2021-03-01T17:59:42.777083Z\",\n",
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" \"updateTime\": \"2021-03-01T17:59:42.777083Z\"\n",
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"}\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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" time.sleep(60)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "trainingpipelines_create:migration,new,response,icn"
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},
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"source": [
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"*Example output*:\n",
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"```\n",
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"gs://migration-ucaip-trainingaip-20210301154552/batch_output/prediction-ten_20210301154552-2021-03-01T17:59:42.638222Z/predictions_00001.jsonl\n",
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"{\"instance\":{\"content\":\"gs://migration-ucaip-trainingaip-20210301154552/test.txt\",\"mimeType\":\"text/plain\"},\"prediction\":{\"ids\":[\"7806436899697983488\",\"7806436899697983488\",\"7806436899697983488\",\"4347672385877442560\",\"4347672385877442560\",\"4347672385877442560\"],\"displayNames\":[\"SpecificDisease\",\"SpecificDisease\",\"SpecificDisease\",\"Modifier\",\"Modifier\",\"Modifier\"],\"textSegmentStartOffsets\":[\"149\",\"19\",\"169\",\"236\",\"688\",\"330\"],\"textSegmentEndOffsets\":[\"165\",\"45\",\"171\",\"238\",\"690\",\"332\"],\"confidences\":[0.99957836,0.9995628,0.9995044,0.9993287,0.9993144,0.99927235]}}\n",
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"```\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "bQ-VVaSxJjkd"
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},
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"source": [
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"# Cleaning up\r\n",
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"\r\n",
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"To clean up all GCP resources used in this project, you can [delete the GCP\r\n",
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"project](https://cloud.google.com/resource-manager/docs/creating-managing-projects#shutting_down_projects) you used for the tutorial.\r\n",
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"\r\n",
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"# Cleaning up\n",
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"\n",
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"To clean up all GCP resources used in this project, you can [delete the GCP\n",
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"project](https://cloud.google.com/resource-manager/docs/creating-managing-projects#shutting_down_projects) you used for the tutorial.\n",
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"\n",
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"Otherwise, you can delete the individual resources you created in this tutorial."
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]
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},
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],
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"metadata": {
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"colab": {
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"name": "UJ7 unified AutoML for natural language with Vertex AI Text Entity Extraction.ipynb",
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"name": "UJ7 AutoML for natural language with Vertex AI Text Entity Extraction.ipynb",
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"toc_visible": true
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},
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"kernelspec": {

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