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环境细节
  • 操作系统类型和版本：Windows 10、WSL 2、Ubuntu 16.04
  • Python版本：3.7.5
  • 点子版本：19.3.1
  • google-cloud-automl版本：2.2.0
重现步骤
  1. 使用 score_threshold 作为参数调用 AutoML 语言实体提取
代码示例 
options = ClientOptions(api_endpoint='automl.googleapis.com')
prediction_client = automl_v1.PredictionServiceClient(client_options=options)
payload = {'text_snippet': {'content': 'sample text', 'mime_type': 'text/plain'} }
params = {"score_threshold": "0.04"}
request = prediction_client.predict(name=model_name, payload=payload, params=params)
堆栈跟踪 
Traceback (most recent call last):
  File "/mnt/d/alexa/lib/python3.7/site-packages/google/api_core/grpc_helpers.py", line 57, in error_remapped_callable
    return callable_(*args, **kwargs)
  File "/mnt/d/alexa/lib/python3.7/site-packages/grpc/_channel.py", line 923, in __call__
    return _end_unary_response_blocking(state, call, False, None)
  File "/mnt/d/alexa/lib/python3.7/site-packages/grpc/_channel.py", line 826, in _end_unary_response_blocking
    raise _InactiveRpcError(state)
grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
        status = StatusCode.INVALID_ARGUMENT
        details = "List of found errors:        1.Field: params; Message: Key `score_threshold` is not supported.      "
        debug_error_string = "{"created":"@1615914477.923586200","description":"Error received from peer ipv4:172.217.4.74:***","file":"src/core/lib/surface/call.cc","file_line":1061,"grpc_message":"List of found errors:\t1.Field: params; Message: Key `score_threshold` is not supported.\t","grpc_status":3}"
>

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "google_keyword_generation.py", line 167, in <module>
    call_nlp()
  File "google_keyword_generation.py", line 137, in call_nlp
    request = prediction_client.predict(name=model_name, payload=payload, params=params)
  File "/mnt/d/alexa/lib/python3.7/site-packages/google/cloud/automl_v1/services/prediction_service/client.py", line 498, in predict
    response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
  File "/mnt/d/alexa/lib/python3.7/site-packages/google/api_core/gapic_v1/method.py", line 145, in __call__
    return wrapped_func(*args, **kwargs)
  File "/mnt/d/alexa/lib/python3.7/site-packages/google/api_core/grpc_helpers.py", line 59, in error_remapped_callable
    six.raise_from(exceptions.from_grpc_error(exc), exc)
  File "<string>", line 3, in raise_from
google.api_core.exceptions.InvalidArgument: 400 List of found errors:   1.Field: params; Message: Key `score_threshold` is not supported.
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1 回答 1

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参数params->score_threshold不适用于 AutoML NL Entity Extraction。这仅适用于 AutoML 视觉分类和 AutoML 视觉对象检测。请参阅predict() 的 python 参考。

params (Sequence[~.prediction_service.PredictRequest.ParamsEntry]) –</p>

附加域特定参数，任何字符串的长度不得超过 25000 个字符。

AutoML 视觉分类

score_threshold : (float) 一个从 0.0 到 1.0 的值。当模型对图像进行预测时，它只会产生至少具有此置信度分数的结果。默认值为 0.5。

AutoML 视觉对象检测

score_threshold : (float) 当模型检测到图像上的物体时，它只会产生至少有这个置信度分数的边界框。值在 0 到 1 范围内，默认为 0.5。

max_bounding_box_count : (int64) 返回的最大边界框数。默认值为 100。返回的边界框数量可能受服务器限制。

但如果您使用 AutoML NL 分类，可以使用batch_predict()设置 score_threshold 。

于 2021-03-17T08:01:22.767 回答