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- How machines learn to understand words: a guide to embeddings in NLP
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- Efficient Transformers II: knowledge distillation & fine-tuning
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- Fixing annotating bias with Communications Mining
- Active learning: better ML models in less time
- It's all in the numbers - assessing model performance with metrics
- Why model validation is important
- Comparing Communications Mining and Google AutoML for conversational data intelligence
Get a stream by name
Communications Mining Developer Guide
Last updated Nov 7, 2024
Get a stream by name
/api/v1/datasets/<project>/<dataset_name>/streams/<stream_name>
/api/v1/datasets/<project>/<dataset_name>/streams/<stream_name>
- Bash
curl -X GET 'https://<my_api_endpoint>/api/v1/datasets/project1/collateral/streams/dispute' \ -H "Authorization: Bearer $REINFER_TOKEN"
curl -X GET 'https://<my_api_endpoint>/api/v1/datasets/project1/collateral/streams/dispute' \ -H "Authorization: Bearer $REINFER_TOKEN" - Node
const request = require("request"); request.`( { url: "https://<my_api_endpoint>/api/v1/datasets/project1/collateral/streams/dispute", headers: { Authorization: "Bearer " + process.env.REINFER_TOKEN, }, }, function (error, response, json) { // digest response console.log(JSON.stringify(json, null, 2)); } );
const request = require("request"); request.`( { url: "https://<my_api_endpoint>/api/v1/datasets/project1/collateral/streams/dispute", headers: { Authorization: "Bearer " + process.env.REINFER_TOKEN, }, }, function (error, response, json) { // digest response console.log(JSON.stringify(json, null, 2)); } ); - Python
import json import os import requests response = requests.get( "https://<my_api_endpoint>/api/v1/datasets/project1/collateral/streams/dispute", headers={"Authorization": "Bearer " + os.environ["REINFER_TOKEN"]}, ) print(json.dumps(response.json(), indent=2, sort_keys=True))
import json import os import requests response = requests.get( "https://<my_api_endpoint>/api/v1/datasets/project1/collateral/streams/dispute", headers={"Authorization": "Bearer " + os.environ["REINFER_TOKEN"]}, ) print(json.dumps(response.json(), indent=2, sort_keys=True)) - Response
{ "status": "ok", "stream": { "context": "0", "created_at": "2019-08-03T12:30:00.123456Z", "dataset_id": "abcdef0123456789", "description": "Used by ACME RPA to create tickets for disputes.", "id": "0123456789abcdef", "model": { "version": 8 }, "name": "dispute", "title": "Collateral Disputes", "updated_at": "2019-08-03T12:30:00.123456Z" } }
{ "status": "ok", "stream": { "context": "0", "created_at": "2019-08-03T12:30:00.123456Z", "dataset_id": "abcdef0123456789", "description": "Used by ACME RPA to create tickets for disputes.", "id": "0123456789abcdef", "model": { "version": 8 }, "name": "dispute", "title": "Collateral Disputes", "updated_at": "2019-08-03T12:30:00.123456Z" } }