Ibm cloud 自然语言分类器教程-发生错误500

Ibm cloud 自然语言分类器教程-发生错误500,ibm-cloud,Ibm Cloud,我想创建一个分类器,因此根据教程,我做了以下工作: curl -i -u "apikey:{apikey}" \ -F training_data=@{train.csv} \ -F training_metadata="{\"language\":\"en\",\"name\":\"TutorialClassifier\"}" \ "{url}/v1/classifiers" 但是,出现以下错误: HTTP/1.1 200 Connection established HTTP/1.1 1

我想创建一个分类器,因此根据教程,我做了以下工作:

curl -i -u "apikey:{apikey}" \
-F training_data=@{train.csv} \
-F training_metadata="{\"language\":\"en\",\"name\":\"TutorialClassifier\"}" \
"{url}/v1/classifiers"
但是,出现以下错误:

HTTP/1.1 200 Connection established

HTTP/1.1 100 Continue
X-EdgeConnect-MidMile-RTT: 0
X-EdgeConnect-Origin-MEX-Latency: 113

HTTP/1.1 500 Internal Server Error
Server: AkamaiGHost
Mime-Version: 1.0
Content-Type: text/html
Content-Length: 176
Expires: Wed, 11 Mar 2020 04:44:04 GMT
Date: Wed, 11 Mar 2020 04:44:04 GMT
Connection: close

<HTML><HEAD><TITLE>Error</TITLE></HEAD><BODY>
An error occurred while processing your request.<p>
Reference&#32;&#35;179&#46;35e52e17&#46;1583901844&#46;39c6106
</BODY></HTML>
HTTP/1.1 200连接已建立
HTTP/1.1 100继续
X-EdgeConnect-MidMile-RTT:0
X-EdgeConnect-Origin-MEX-Latency:113
HTTP/1.1500内部服务器错误
服务器:AkamaiGHost
Mime版本:1.0
内容类型:text/html
内容长度:176
过期时间:2020年3月11日星期三04:44:04 GMT
日期:2020年3月11日星期三04:44:04 GMT
连接:关闭
错误
处理您的请求时出错。
参考文献 #179.35e52e17和46;1583901844.39c6106
是什么导致了这个错误?
谢谢

我按照教程中的说明创建了一个没有任何错误的分类器。以下是请求和响应

请求:

curl -i -u "apikey:API_KEY" \
-F training_data=@weather_data_train.csv \
-F training_metadata="{\"language\":\"en\",\"name\":\"TutorialClassifier\"}" \
"URL/v1/classifiers"
HTTP/1.1 100 Continue
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95

HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: 449
X-XSS-Protection: 1
Content-Security-Policy: default-src 'none'
X-Content-Type-Options: nosniff
Cache-Control: no-cache, no-store
Pragma: no-cache
Expires: 0
strict-transport-security: max-age=31536000; includeSubDomains;
x-global-transaction-id: xxxxxxx
X-DP-Watson-Tran-ID: xxxxxx
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 2000
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95
Date: Wed, 11 Mar 2020 07:05:02 GMT
Connection: keep-alive

{
  "classifier_id" : "xxxxx",
  "name" : "TutorialClassifier",
  "language" : "en",
  "created" : "2020-03-11T07:05:01.126Z",
  "url" : "URL/v1/classifiers/xxx",
  "status_description" : "The classifier instance is in its training phase, not yet ready to accept classify requests",
  "status" : "Training"
}%
响应:

curl -i -u "apikey:API_KEY" \
-F training_data=@weather_data_train.csv \
-F training_metadata="{\"language\":\"en\",\"name\":\"TutorialClassifier\"}" \
"URL/v1/classifiers"
HTTP/1.1 100 Continue
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95

HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: 449
X-XSS-Protection: 1
Content-Security-Policy: default-src 'none'
X-Content-Type-Options: nosniff
Cache-Control: no-cache, no-store
Pragma: no-cache
Expires: 0
strict-transport-security: max-age=31536000; includeSubDomains;
x-global-transaction-id: xxxxxxx
X-DP-Watson-Tran-ID: xxxxxx
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 2000
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95
Date: Wed, 11 Mar 2020 07:05:02 GMT
Connection: keep-alive

{
  "classifier_id" : "xxxxx",
  "name" : "TutorialClassifier",
  "language" : "en",
  "created" : "2020-03-11T07:05:01.126Z",
  "url" : "URL/v1/classifiers/xxx",
  "status_description" : "The classifier instance is in its training phase, not yet ready to accept classify requests",
  "status" : "Training"
}%
我所做的只是

  • 创建自然语言分类器服务
  • 下载
    .csv
    .json
    文件
  • 在终端或命令提示符下,指向我下载
    .csv
    .json
    文件的文件夹
  • 从服务的服务凭据页面,复制
    apikey
    url
    值,并替换
    curl
    命令中的占位符({apikey},{url})
  • 执行命令以查看上述响应

我按照教程中的说明创建了一个没有任何错误的分类器。以下是请求和响应

请求:

curl -i -u "apikey:API_KEY" \
-F training_data=@weather_data_train.csv \
-F training_metadata="{\"language\":\"en\",\"name\":\"TutorialClassifier\"}" \
"URL/v1/classifiers"
HTTP/1.1 100 Continue
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95

HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: 449
X-XSS-Protection: 1
Content-Security-Policy: default-src 'none'
X-Content-Type-Options: nosniff
Cache-Control: no-cache, no-store
Pragma: no-cache
Expires: 0
strict-transport-security: max-age=31536000; includeSubDomains;
x-global-transaction-id: xxxxxxx
X-DP-Watson-Tran-ID: xxxxxx
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 2000
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95
Date: Wed, 11 Mar 2020 07:05:02 GMT
Connection: keep-alive

{
  "classifier_id" : "xxxxx",
  "name" : "TutorialClassifier",
  "language" : "en",
  "created" : "2020-03-11T07:05:01.126Z",
  "url" : "URL/v1/classifiers/xxx",
  "status_description" : "The classifier instance is in its training phase, not yet ready to accept classify requests",
  "status" : "Training"
}%
响应:

curl -i -u "apikey:API_KEY" \
-F training_data=@weather_data_train.csv \
-F training_metadata="{\"language\":\"en\",\"name\":\"TutorialClassifier\"}" \
"URL/v1/classifiers"
HTTP/1.1 100 Continue
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95

HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: 449
X-XSS-Protection: 1
Content-Security-Policy: default-src 'none'
X-Content-Type-Options: nosniff
Cache-Control: no-cache, no-store
Pragma: no-cache
Expires: 0
strict-transport-security: max-age=31536000; includeSubDomains;
x-global-transaction-id: xxxxxxx
X-DP-Watson-Tran-ID: xxxxxx
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 2000
X-EdgeConnect-MidMile-RTT: 230
X-EdgeConnect-Origin-MEX-Latency: 95
Date: Wed, 11 Mar 2020 07:05:02 GMT
Connection: keep-alive

{
  "classifier_id" : "xxxxx",
  "name" : "TutorialClassifier",
  "language" : "en",
  "created" : "2020-03-11T07:05:01.126Z",
  "url" : "URL/v1/classifiers/xxx",
  "status_description" : "The classifier instance is in its training phase, not yet ready to accept classify requests",
  "status" : "Training"
}%
我所做的只是

  • 创建自然语言分类器服务
  • 下载
    .csv
    .json
    文件
  • 在终端或命令提示符下,指向我下载
    .csv
    .json
    文件的文件夹
  • 从服务的服务凭据页面,复制
    apikey
    url
    值,并替换
    curl
    命令中的占位符({apikey},{url})
  • 执行命令以查看上述响应

你能将你正在学习的教程的链接发布到下一页吗。你能把你正在学习的教程的链接发布到下一页吗。我做了您所做的一切,并且能够创建一个没有错误的分类器。500错误可能是由错误的API密钥引起的。谢谢你的回答。我做了你所做的一切,并且能够创建一个没有错误的分类器。500错误可能是由错误的API密钥引起的。谢谢你的回答。