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feat: adds enhancements to library (#22)
* feat: adds enhancements to library * chore: changes to synth.py * fix: broken pack n' play test * fix: add enhanced types to ts compiler * fix: project enabled * fix: adds docstrings to toValue(), fromValue() functions * fix: removing any * fix: edits to synth.py per reviewer * fix: add more test coverage * chore: added comment about conversion interface Co-authored-by: Sofia Leon <sofialeon@google.com>
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@@ -12,3 +12,4 @@ system-test/*key.json | |
| .DS_Store | ||
| package-lock.json | ||
| __pycache__ | ||
| .vscode | ||
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samples/create-training-pipeline-image-classification.js
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| /* | ||
| * Copyright 2020 Google LLC | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * https://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| 'use strict'; | ||
|
|
||
| function main( | ||
| datasetId, | ||
| modelDisplayName, | ||
| trainingPipelineDisplayName, | ||
| project, | ||
| location = 'us-central1' | ||
| ) { | ||
| // [START aiplatform_create_training_pipeline_image_classification] | ||
| /** | ||
| * TODO(developer): Uncomment these variables before running the sample. | ||
| * (Not necessary if passing values as arguments) | ||
| */ | ||
| /* | ||
| const datasetId = 'YOUR DATASET'; | ||
| const modelDisplayName = 'NEW MODEL NAME; | ||
| const trainingPipelineDisplayName = 'NAME FOR TRAINING PIPELINE'; | ||
| const project = 'YOUR PROJECT ID'; | ||
| const location = 'us-central1'; | ||
| */ | ||
| // Imports the Google Cloud Pipeline Service Client library | ||
| const aiplatform = require('@google-cloud/aiplatform'); | ||
|
|
||
| const { | ||
| definition, | ||
| } = aiplatform.protos.google.cloud.aiplatform.v1beta1.schema.trainingjob; | ||
| const ModelType = definition.AutoMlImageClassificationInputs.ModelType; | ||
|
|
||
| // Specifies the location of the api endpoint | ||
| const clientOptions = { | ||
| apiEndpoint: 'us-central1-aiplatform.googleapis.com', | ||
| }; | ||
|
|
||
| // Instantiates a client | ||
| const pipelineServiceClient = new aiplatform.PipelineServiceClient( | ||
| clientOptions | ||
| ); | ||
|
|
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| async function createTrainingPipelineImageClassification() { | ||
| // Configure the parent resource | ||
| const parent = `projects/${project}/locations/${location}`; | ||
|
|
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| // Values should match the input expected by your model. | ||
| const trainingTaskInputsMessage = new definition.AutoMlImageClassificationInputs( | ||
| { | ||
| multiLabel: true, | ||
| modelType: ModelType.CLOUD, | ||
| budgetMilliNodeHours: 8000, | ||
| disableEarlyStopping: false, | ||
| } | ||
| ); | ||
|
|
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| const trainingTaskInputs = trainingTaskInputsMessage.toValue(); | ||
|
|
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| const trainingTaskDefinition = | ||
| 'gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_image_classification_1.0.0.yaml'; | ||
|
|
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| const modelToUpload = {displayName: modelDisplayName}; | ||
| const inputDataConfig = {datasetId: datasetId}; | ||
| const trainingPipeline = { | ||
| displayName: trainingPipelineDisplayName, | ||
| trainingTaskDefinition, | ||
| trainingTaskInputs, | ||
| inputDataConfig: inputDataConfig, | ||
| modelToUpload: modelToUpload, | ||
| }; | ||
| const request = { | ||
| parent, | ||
| trainingPipeline, | ||
| }; | ||
|
|
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| // Create training pipeline request | ||
| const [response] = await pipelineServiceClient.createTrainingPipeline( | ||
| request | ||
| ); | ||
|
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| console.log('Create training pipeline image classification response'); | ||
| console.log(`\tName : ${response.name}`); | ||
| console.log(`\tDisplay Name : ${response.displayName}`); | ||
| console.log( | ||
| `\tTraining task definition : ${response.trainingTaskDefinition}` | ||
| ); | ||
| console.log( | ||
| `\tTraining task inputs : \ | ||
| ${JSON.stringify(response.trainingTaskInputs)}` | ||
| ); | ||
| console.log( | ||
| `\tTraining task metadata : \ | ||
| ${JSON.stringify(response.trainingTaskMetadata)}` | ||
| ); | ||
| console.log(`\tState ; ${response.state}`); | ||
| console.log(`\tCreate time : ${JSON.stringify(response.createTime)}`); | ||
| console.log(`\tStart time : ${JSON.stringify(response.startTime)}`); | ||
| console.log(`\tEnd time : ${JSON.stringify(response.endTime)}`); | ||
| console.log(`\tUpdate time : ${JSON.stringify(response.updateTime)}`); | ||
| console.log(`\tLabels : ${JSON.stringify(response.labels)}`); | ||
|
|
||
| const error = response.error; | ||
| console.log('\tError'); | ||
| if (error === null) { | ||
| console.log('\t\tCode : {}'); | ||
| console.log('\t\tMessage : {}'); | ||
| } else { | ||
| console.log(`\t\tCode : ${error.code}`); | ||
| console.log(`\t\tMessage : ${error.message}`); | ||
| } | ||
| } | ||
|
|
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| createTrainingPipelineImageClassification(); | ||
| // [END aiplatform_create_training_pipeline_image_classification] | ||
| } | ||
|
|
||
| process.on('unhandledRejection', err => { | ||
| console.error(err.message); | ||
| process.exitCode = 1; | ||
| }); | ||
|
|
||
| main(...process.argv.slice(2)); |
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| /** | ||
| * Copyright 2020, Google, LLC. | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| 'use strict'; | ||
|
|
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| function main(projectId, location = 'us-central1') { | ||
| // [START aiplatform_list_endpoints] | ||
| /** | ||
| * TODO(developer): Uncomment these variables before running the sample. | ||
| */ | ||
| // const projectId = 'YOUR_PROJECT_ID'; | ||
| // const location = 'YOUR_PROJECT_LOCATION'; | ||
|
|
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| const {EndpointServiceClient} = require('@google-cloud/aiplatform'); | ||
|
|
||
| // Specifies the location of the api endpoint | ||
| const clientOptions = { | ||
| apiEndpoint: 'us-central1-aiplatform.googleapis.com', | ||
| }; | ||
| const client = new EndpointServiceClient(clientOptions); | ||
|
|
||
| async function listEndpoints() { | ||
| // Configure the parent resource | ||
| const parent = `projects/${projectId}/locations/${location}`; | ||
| const request = { | ||
| parent, | ||
| }; | ||
|
|
||
| // Get and print out a list of all the endpoints for this resource | ||
| const [result] = await client.listEndpoints(request); | ||
| for (const endpoint of result) { | ||
| console.log(`\nEndpoint name: ${endpoint.name}`); | ||
| console.log(`Display name: ${endpoint.displayName}`); | ||
| if (endpoint.deployedModels[0]) { | ||
| console.log( | ||
| `First deployed model: ${endpoint.deployedModels[0].model}` | ||
| ); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| listEndpoints(); | ||
| // [END aiplatform_list_endpoints] | ||
| } | ||
|
|
||
| main(...process.argv.slice(2)).catch(err => { | ||
| console.error(err); | ||
| process.exitCode = 1; | ||
| }); |
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