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docs(samples): automl tables beta samples (#155)
* Automl Tables beta samples * skipping tests * skipping tests * skipping tests * skipping tests
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{ | ||
"name": "@google-cloud/automl-samples", | ||
"description": "Samples for the Cloud AutoML Client Library for Node.js.", | ||
"version": "0.0.1", | ||
"license": "Apache-2.0", | ||
"author": "Google LLC", | ||
"engines": { | ||
"node": ">=8" | ||
}, | ||
"files": [ | ||
"!test/*" | ||
], | ||
"repository": "googleapis/nodejs-automl", | ||
"private": true, | ||
"nyc": { | ||
"exclude": [ | ||
"**/*.test.js" | ||
] | ||
}, | ||
"scripts": { | ||
"test": "mocha --timeout 600000 --recursive" | ||
"test": "mocha --timeout 600000" | ||
}, | ||
"dependencies": { | ||
"@google-cloud/automl": "^0.2.0", | ||
"chai": "^4.2.0", | ||
"execa": "^1.0.0", | ||
"mathjs": "^5.5.0", | ||
"yargs": "^13.2.1", | ||
"execa":"^1.0.0" | ||
"yargs": "^13.2.1" | ||
}, | ||
"devDependencies": { | ||
"mocha": "^6.0.1", | ||
"chai": "^4.2.0" | ||
"mocha": "^6.0.1" | ||
} | ||
} |
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/** | ||
* Copyright 2019, 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`; | ||
async function main( | ||
projectId = 'YOUR_PROJECT_ID', | ||
computeRegion = 'YOUR_REGION_NAME', | ||
datasetName = 'YOUR_DATASET_NAME' | ||
) { | ||
// [START automl_tables_create_dataset] | ||
const automl = require(`@google-cloud/automl`); | ||
const util = require(`util`); | ||
const client = new automl.v1beta1.AutoMlClient(); | ||
|
||
/** | ||
* Demonstrates using the AutoML client to create a dataset | ||
* TODO(developer): Uncomment the following lines before running the sample. | ||
*/ | ||
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project"; | ||
// const computeRegion = '[REGION_NAME]' e.g., "us-central1"; | ||
// const datasetName = '[DATASET_NAME]' e.g., “myDataset”; | ||
|
||
// A resource that represents Google Cloud Platform location. | ||
const projectLocation = client.locationPath(projectId, computeRegion); | ||
|
||
// Set dataset name and metadata. | ||
const myDataset = { | ||
displayName: datasetName, | ||
tablesDatasetMetadata: {}, | ||
}; | ||
|
||
// Create a dataset with the dataset metadata in the region. | ||
client | ||
.createDataset({parent: projectLocation, dataset: myDataset}) | ||
.then(responses => { | ||
const dataset = responses[0]; | ||
// Display the dataset information. | ||
console.log(`Dataset name: ${dataset.name}`); | ||
console.log(`Dataset Id: ${dataset.name.split(`/`).pop(-1)}`); | ||
console.log(`Dataset display name: ${dataset.displayName}`); | ||
console.log(`Dataset example count: ${dataset.exampleCount}`); | ||
console.log( | ||
`Tables dataset metadata: ${util.inspect( | ||
dataset.tablesDatasetMetadata, | ||
false, | ||
null | ||
)}` | ||
); | ||
}) | ||
.catch(err => { | ||
console.error(err); | ||
}); | ||
// [END automl_tables_create_dataset] | ||
} | ||
main(...process.argv.slice(2)).catch(console.error()); |
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/** | ||
* Copyright 2019, 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`; | ||
async function main( | ||
projectId = 'YOUR_PROJECT_ID', | ||
computeRegion = 'YOUR_REGION_NAME', | ||
datasetId = 'YOUR_DATASET_ID', | ||
tableId = 'TABLE_ID', | ||
columnId = 'COLUMN_ID', | ||
modelName = 'MODEL_NAME', | ||
trainBudget = 'TRAIN_BUDGET' | ||
) { | ||
// [START automl_tables_create_model] | ||
const automl = require(`@google-cloud/automl`); | ||
const client = new automl.v1beta1.AutoMlClient(); | ||
|
||
/** | ||
* Demonstrates using the AutoML client to create a model. | ||
* TODO(developer): Uncomment the following lines before running the sample. | ||
*/ | ||
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project"; | ||
// const computeRegion = '[REGION_NAME]' e.g., "us-central1"; | ||
// const datasetId = '[DATASET_ID]' e.g., "TBL2246891593778855936"; | ||
// const tableId = '[TABLE_ID]' e.g., "1991013247762825216"; | ||
// const columnId = '[COLUMN_ID]' e.g., "773141392279994368"; | ||
// const modelName = '[MODEL_NAME]' e.g., "testModel"; | ||
// const trainBudget = '[TRAIN_BUDGET]' e.g., "1000", | ||
// `Train budget in milli node hours`; | ||
|
||
// A resource that represents Google Cloud Platform location. | ||
const projectLocation = client.locationPath(projectId, computeRegion); | ||
|
||
// Get the full path of the column. | ||
const columnSpecId = client.columnSpecPath( | ||
projectId, | ||
computeRegion, | ||
datasetId, | ||
tableId, | ||
columnId | ||
); | ||
|
||
// Set target column to train the model. | ||
const targetColumnSpec = {name: columnSpecId}; | ||
|
||
// Set tables model metadata. | ||
const tablesModelMetadata = { | ||
targetColumnSpec: targetColumnSpec, | ||
trainBudgetMilliNodeHours: trainBudget, | ||
}; | ||
|
||
// Set datasetId, model name and model metadata for the dataset. | ||
const myModel = { | ||
datasetId: datasetId, | ||
displayName: modelName, | ||
tablesModelMetadata: tablesModelMetadata, | ||
}; | ||
|
||
// Create a model with the model metadata in the region. | ||
client | ||
.createModel({parent: projectLocation, model: myModel}) | ||
.then(responses => { | ||
const initialApiResponse = responses[1]; | ||
console.log(`Training operation name: ${initialApiResponse.name}`); | ||
console.log(`Training started...`); | ||
}) | ||
.catch(err => { | ||
console.error(err); | ||
}); | ||
// [END automl_tables_create_model] | ||
} | ||
main(...process.argv.slice(2)).catch(console.error()); |
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/** | ||
* Copyright 2019, 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`; | ||
async function main( | ||
projectId = 'YOUR_PROJECT_ID', | ||
computeRegion = 'YOUR_REGION_NAME', | ||
datasetId = 'YOUR_DATASET_ID' | ||
) { | ||
// [START automl_tables_delete_dataset] | ||
const automl = require(`@google-cloud/automl`); | ||
const client = new automl.v1beta1.AutoMlClient(); | ||
|
||
/** | ||
* Demonstrates using the AutoML client to delete a dataset. | ||
* TODO(developer): Uncomment the following lines before running the sample. | ||
*/ | ||
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project"; | ||
// const computeRegion = '[REGION_NAME]' e.g., "us-central1"; | ||
// const datasetId = '[DATASET_ID]' e.g., "TBL2246891593778855936"; | ||
|
||
// Get the full path of the dataset. | ||
const datasetFullId = client.datasetPath(projectId, computeRegion, datasetId); | ||
|
||
// Delete a dataset. | ||
client | ||
.deleteDataset({name: datasetFullId}) | ||
.then(responses => { | ||
const operation = responses[0]; | ||
return operation.promise(); | ||
}) | ||
.then(responses => { | ||
// The final result of the operation. | ||
const operationDetails = responses[2]; | ||
|
||
// Get the dataset delete details. | ||
console.log('Dataset delete details:'); | ||
console.log(`\tOperation details:`); | ||
console.log(`\t\tName: ${operationDetails.name}`); | ||
console.log(`\t\tDone: ${operationDetails.done}`); | ||
}) | ||
.catch(err => { | ||
console.error(err); | ||
}); | ||
// [END automl_tables_delete_dataset] | ||
} | ||
main(...process.argv.slice(2)).catch(console.error()); |
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@@ -0,0 +1,59 @@ | ||
/** | ||
* Copyright 2019, 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`; | ||
async function main( | ||
projectId = 'YOUR_PROJECT_ID', | ||
computeRegion = 'YOUR_REGION_NAME', | ||
modelId = 'MODEL_ID' | ||
) { | ||
// [START automl_tables_delete_model] | ||
const automl = require(`@google-cloud/automl`); | ||
const client = new automl.v1beta1.AutoMlClient(); | ||
|
||
/** | ||
* Demonstrates using the AutoML client to delete a model. | ||
* TODO(developer): Uncomment the following lines before running the sample. | ||
*/ | ||
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project"; | ||
// const computeRegion = '[REGION_NAME]' e.g., "us-central1"; | ||
// const modelId = '[MODEL_ID]' e.g., "TBL4704590352927948800"; | ||
|
||
// Get the full path of the model. | ||
const modelFullId = client.modelPath(projectId, computeRegion, modelId); | ||
|
||
// Delete a model. | ||
client | ||
.deleteModel({name: modelFullId}) | ||
.then(responses => { | ||
const operation = responses[0]; | ||
return operation.promise(); | ||
}) | ||
.then(responses => { | ||
// The final result of the operation. | ||
const operationDetails = responses[2]; | ||
|
||
// Get the Model delete details. | ||
console.log('Model delete details:'); | ||
console.log(`\tOperation details:`); | ||
console.log(`\t\tName: ${operationDetails.name}`); | ||
console.log(`\tDone: ${operationDetails.done}`); | ||
}) | ||
.catch(err => { | ||
console.error(err); | ||
}); | ||
// [END automl_tables_delete_model] | ||
} | ||
main(...process.argv.slice(2)).catch(console.error()); |
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/** | ||
* Copyright 2019, 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`; | ||
async function main( | ||
projectId = 'YOUR_PROJECT_ID', | ||
computeRegion = 'YOUR_REGION_NAME', | ||
modelId = 'MODEL_ID' | ||
) { | ||
// [START automl_tables_deploy_model] | ||
const automl = require(`@google-cloud/automl`); | ||
const client = new automl.v1beta1.AutoMlClient(); | ||
|
||
/** | ||
* Demonstrates using the AutoML client to deploy model. | ||
* TODO(developer): Uncomment the following lines before running the sample. | ||
*/ | ||
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project"; | ||
// const computeRegion = '[REGION_NAME]' e.g., "us-central1"; | ||
// const modelId = '[MODEL_ID]' e.g., "TBL4704590352927948800"; | ||
|
||
// Get the full path of the model. | ||
const modelFullId = client.modelPath(projectId, computeRegion, modelId); | ||
|
||
// Deploy a model with the deploy model request. | ||
client | ||
.deployModel({name: modelFullId}) | ||
.then(responses => { | ||
const response = responses[0]; | ||
console.log(`Deployment Details:`); | ||
console.log(`\tName: ${response.name}`); | ||
console.log(`\tMetadata:`); | ||
console.log(`\t\tType Url: ${response.metadata.typeUrl}`); | ||
console.log(`\tDone: ${response.done}`); | ||
}) | ||
.catch(err => { | ||
console.error(err); | ||
}); | ||
// [END automl_tables_deploy_model] | ||
} | ||
main(...process.argv.slice(2)).catch(console.error()); |
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