Creating a multiclass classification model using MLP

In this exercise, we are going to guide the CREATE MODEL statement to use the MLP model. You will achieve that by setting the model_type parameter to MLP. The rest of the parameters can be set to default.

Let’s create a model to predict the direction of the robot:

CREATE MODEL chapter9_deeplearning.predict_robot_direction
from  (select
us1 ,us2 , us3 , us4 , us5 , us6 ,us7 , us8 , us9 ,
us10 ,us11 ,us12 ,us13 ,us14 ,us15 ,us16 ,us17 ,
us18 ,us19 ,us20 ,us21 , us22 ,us23 ,us24 , direction
  from chapter9_deeplearning.robot_navigation
  where mod(id,5) !=0)
target direction
function predict_robot_direction_fn
iam_role default
model_type mlp
settings (s3_bucket 'replace-with-your-s3-bucket',
max_runtime 1800);

The CREATE MODEL function is run with a max_runtime value of 1800 seconds. This means the maximum amount of time to train the model is 30 minutes. Training jobs often complete...