subject

You use the Azure Machine Learning SDK to run a training experiment that trains a classification model and calculates its accuracy metric. The model will be retrained each month as new data is available. You must register the model for use in a batch inference pipeline. You need to register the model and ensure that the models created by subsequent retraining experiments are registered only if their accuracy is higher than the currently registered model. What are two possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

ansver
Answers: 3

Another question on Computers and Technology

question
Computers and Technology, 24.06.2019 00:40
To maintain clarity and focus lighting might be needed
Answers: 2
question
Computers and Technology, 24.06.2019 01:00
How can the temperature of a room be raised by 5degreesf?
Answers: 1
question
Computers and Technology, 24.06.2019 01:30
Suppose a cpu with a write-through, write-allocate cache achieves a cpi of 2. what are the read and write bandwidths (measured by bytes per cycle) between ram and the cache? (assume each miss generates a request for one block.)
Answers: 1
question
Computers and Technology, 24.06.2019 06:30
Some peer-to-peer networks have a server and some don't. true false
Answers: 2
You know the right answer?
You use the Azure Machine Learning SDK to run a training experiment that trains a classification mod...
Questions
question
Mathematics, 13.10.2020 14:01
question
Mathematics, 13.10.2020 14:01