如何为沃森机器学习API创建证书以保存ML模型

Question

from watson_machine_learning_client import WatsonMachineLearningAPIClient
wml_credentials = {
    "apikey" : "*****", # my own api key
    "url"    : "https://jp-tok.ml.cloud.ibm.com"
}
client = WatsonMachineLearningAPIClient( wml_credentials )

我根据ga=2.133579662.1462677150.1614734898-1588850442.1613548438 (子主题:身份验证)编写了完全相同的代码，以创建沃森机器学习python客户端的实例以保存一个ML模型。

但我收到了一个错误：

KeyError                                  Traceback (most recent call last)
<ipython-input-2-513e37fb8d9f> in <module>
      4     "url"    : "https://jp-tok.ml.cloud.ibm.com"
      5 }
----> 6 client = WatsonMachineLearningAPIClient( wml_credentials )

/opt/conda/envs/Python36/lib/python3.6/site-packages/watson_machine_learning_client/client.py in __init__(self, wml_credentials, project_id)
     40         if wml_credentials is None:
     41             raise NoWMLCredentialsProvided()
---> 42         if 'icp' == wml_credentials[u'instance_id'].lower():
     43             self.ICP = True
     44             os.environ["DEPLOYMENT_PLATFORM"] = "private"

KeyError: 'instance_id'

我能做些什么来解决这个问题？网络上的内容声明

注意:没有提供instance_id。instance_id将从新的(V2)实例计划的关联空间/项目中获取。

Answer 1

您在代码中使用的是WML客户端的不推荐版本。导入最新包装

from ibm_watson_machine_learning import APIClient

另外，使用新的APIClient对象代替不推荐的APIClient对象。

wml_credentials = {
    "apikey": "<your_wml_apikey>",
    "url": "<your_wml_endpoint_url>"
}
client = APIClient(wml_credentials)