Product title category prediction

Service activation and resource plan purchase

Before you use the service, ensure that it is activated. After activation, you can purchase a resource plan.

• Activate the service: Activation page

• Purchase a resource plan: Purchase page

Service invocation and debugging

For information about how to invoke the model, see Model invocation.

For information about software development kit (SDK) examples, see SDK examples.

Debug

Configure access credentials using environment variables

1. Notes:

   1. The AccessKey pair of an Alibaba Cloud account has permissions to access all APIs. This poses a high security threat. We strongly recommend that you create and use a Resource Access Management (RAM) user to make API calls or perform routine O&M. To create a RAM user, log on to the RAM console.

   2. To prevent security threats, do not hard-code your AccessKey ID and AccessKey secret in your code. We recommend that you store and access your AccessKey pair by configuring environment variables.

2. Configure on Linux and macOS

   export NLP_AK_ENV=<access_key_id>
   export NLP_SK_ENV=<access_key_secret>

   Replace <access_key_id> with your AccessKey ID and <access_key_secret> with your AccessKey secret. For more information about how to obtain an AccessKey ID and an AccessKey secret, see Step 2: Obtain an AccessKey pair.

3. Configure on Windows

   1. Create an environment variable file. Add the NLP_AK_ENV and NLP_SK_ENV environment variables and set their values to your AccessKey ID and AccessKey secret.

   2. Restart Windows.

Java code example

/**
 * An AccessKey pair of an Alibaba Cloud account has all API access permissions. This poses a high security threat.
 * We strongly recommend that you create and use a RAM user to make API calls or perform routine O&M. To create a RAM user, log on to the RAM console.
 * This example shows how to store an AccessKey ID and an AccessKey secret in environment variables. You can also store them in a configuration file as needed.
 * To prevent security threats, do not hard-code your AccessKey ID and AccessKey secret into your code.
 */
String accessKeyId = System.getenv("NLP_AK_ENV");
String accessKeySecret = System.getenv("NLP_SK_ENV");
DefaultProfile defaultProfile = DefaultProfile.getProfile("cn-hangzhou",accessKeyId,accessKeySecret);
IAcsClient client = new DefaultAcsClient(defaultProfile);
Map<String, Object> map = new HashMap<>();
map.put("input", "wallpaper");
map.put("topk", 1);
RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("NLP-E-Commerce-Category");
request.setPredictContent(JSON.toJSONString(map));
RunPreTrainServiceResponse response = client.getAcsResponse(request);
System.out.println(response.getPredictResult());

Python code example

# Install dependencies
pip install aliyun-python-sdk-core
pip install aliyun-python-sdk-nlp-automl

# -*- coding: utf-8 -*-
import json
import os

from aliyunsdkcore.client import AcsClient
from aliyunsdkcore.acs_exception.exceptions import ClientException
from aliyunsdkcore.acs_exception.exceptions import ServerException
from aliyunsdknlp_automl.request.v20191111 import RunPreTrainServiceRequest

# An AccessKey pair of an Alibaba Cloud account has all API access permissions. This poses a high security threat.
# We strongly recommend that you create and use a RAM user to make API calls or perform routine O&M. To create a RAM user, log on to the RAM console.
# This example shows how to store an AccessKey ID and an AccessKey secret in environment variables. You can also store them in a configuration file as needed.
# To prevent security threats, do not hard-code your AccessKey ID and AccessKey secret into your code.
access_key_id = os.environ['NLP_AK_ENV']
access_key_secret = os.environ['NLP_SK_ENV']

# Initialize an AcsClient instance
client = AcsClient(
  access_key_id,
  access_key_secret,
  "cn-hangzhou"
);
content ={"input": "wallpaper","topk":1}
# Initialize a request and set its parameters
request = RunPreTrainServiceRequest.RunPreTrainServiceRequest()
request.set_ServiceName('NLP-E-Commerce-Category')
request.set_PredictContent(json.dumps(content))
# Print the response
response = client.do_action_with_exception(request)
resp_obj = json.loads(response)
predict_result = json.loads(resp_obj['PredictResult'])
print(predict_result['result'])

PredictContent example

{
  "input": "wallpaper",
  "topk":1
}

PredictResult example

{
  "label": [
    {
      "score": 0.8,
      "key": "Home Improvement Main Materials-Wallpaper-Paper Wallpaper",
      "id":"27-50013322-50024689"
    }
  ]
}

Request parameters

Response parameters