Which command allows you to split your dataset to get 70% of it for training in a repeatable fashion?

Practice More Questions From: Training, Tuning and Serving on AI Platform

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Which command allows you to split your dataset to get 70% of it for training in a repeatable fashion?

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Hyperparameter tuning happens before model training and is the task responsible for assigning initial weights to the variables (or parameters) which allow the model to find patterns on the data.

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Which of the following is an INCORRECT statement about Dockerfile commands?

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What is the order of steps to push a trained model to AI Platform for serving? I – Run the command gcloud ai-platform versions create {model_version} to create a version for the model.II – Train and save the model.III – Run the command gcloud ai-platform models create to create a model object.IV – Run the command gcloud ai-platform predict to get predictions.

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