Python IrisPredictReply示例

示例#1

文件： grpc_server.py 项目： shebangbash/machine-learning-microservice-python

 def PredictIrisSpecies(self, request, context):
     model = self.__class__.get_or_create_model()
     sepal_length = request.sepal_length
     sepal_width = request.sepal_width
     petal_length = request.petal_length
     petal_width = request.petal_width
     result = model.predict([[sepal_length, sepal_width, petal_length, petal_width]])
     return iris_pb2.IrisPredictReply(species=result[0])

示例#2

文件： grpc_server.py 项目： italiviocorrea/machine-learning-e-IA

    def PredictIrisSpecies(self, request):
        model = self.__class__.get_model()
        sepal_length = request.sepal_length
        sepal_width = request.sepal_width
        petal_length = request.petal_length
        petal_width = request.petal_width

        # Previsão do modelo
        result = model.predict(
            [[sepal_length, sepal_width, petal_length, petal_width]])

        return iris_pb2.IrisPredictReply(species=result[0])