• Jason Durheim
  • NEWBIE
  • 0 Points
  • Member since 2017

  • Chatter
    Feed
  • 0
    Best Answers
  • 0
    Likes Received
  • 0
    Likes Given
  • 1
    Questions
  • 1
    Replies
This may simply just not be available yet, didn't see it in any of the doc surrounding training a model.  

You can specify what percentage of the dataset gets used for training with the remainder being used for testing.  Is there any mechanism to explicitly define a dataset to use for training and another dataset to be used for testing?  

It would seem like this would be valuable for tuning the model, having a static test data set to always test against while being able to modify the training dataset to increase the accuracy.
This may simply just not be available yet, didn't see it in any of the doc surrounding training a model.  

You can specify what percentage of the dataset gets used for training with the remainder being used for testing.  Is there any mechanism to explicitly define a dataset to use for training and another dataset to be used for testing?  

It would seem like this would be valuable for tuning the model, having a static test data set to always test against while being able to modify the training dataset to increase the accuracy.