IBM Watson NLU给出了“培训验证”失败。标签类别的样本太少。至少需要5个错误

Question

我正在尝试在IBM Watson NLU中训练我的模型。我必须将电子邮件分类为2个标签。该实例已经创建，我也传递了正确的模型ID。

 model_id = model['model_id']
 model_to_view = nlu.get_classifications_model(model_id=model_id).get_result()
    
 print("Information about the created NLU Classifications model:")
 print(json.dumps(model_to_view, indent=2))

培训状态最初显示为“开始”，但此后显示以下提到的错误：

Information about the created NLU Classifications model:
{
  "name": "MyClassificationsModel1",
  "user_metadata": null,
  "language": "en",
  "description": null,
  "model_version": "1.0.1",
  "version": "1.0.1",
  "workspace_id": null,
  "version_description": null,
  "status": "error",
  "notices": [
    {
      "message": "Training data validation failed: Too few examples for label class. Minimum of 5 required"
    }
  ],
"model_id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
"features": [
    "classifications"
  ],
  "created": "2022-04-28T12:03:23Z",
  "last_trained": "2022-04-28T12:03:23Z",
  "last_deployed": null
}

Answer 1

您的培训数据需要为每个分类标签提供5个样本。参见

用于分类培训数据要求。如果您有2个标签，则至少应有10（5个）样品。