Start training (classification/regression Model Generator)
error This BLOCK is currently in beta and may become unusable after the official BLOCK is released. Please use the official BLOCK once released.
As a beta version, there is the possibility that some functions may not work as intended. We appreciate your feedback regarding bugs and ways to improve BLOCKS.
This BLOCK starts a training for a classification or regression type Model Generator.
Configure the name displayed on this BLOCK.
Select the Model Generator that will run the new training.
Designate a name for the new training.
|Training CSV URL||
Designate the GCS URL for the training set CSV file.
info_outline If leave the Validation CSV URL property blank, BLOCKS will automatically split the training CSV at an 8:2 ratio into the training set and validation set.
|Validation CSV URL||
Designate the GCS URL for the validation set CSV file.
|Max. time until timeout (minutes)||
In order to achieve accurate results, the Model Generator can run multiple trials within a training.
With this property, you can set the maximum amount of time the Model Generator can spend per trial before it times out.
You can set this to
info_outline The Model Generator will stop a trial before it reaches the max. time until timeout if its results (accuracy/RMSE) worsen.
|Max. number of trials||
Configure at least
info_outline The total time for the training will be approximately the max. time until timeout times the max. number of trials, though additional processing may slightly increase the required time.
Select the type of machine that will run the training.
Make notes about this BLOCK.
|Skip header lines||
Configure the number of header lines to skip in the training and validation CSV files. Set this to
|Ignore error lines||
Configure the number of rows with errors to ignore.
Configure the number of epochs (the number of training cycles on the training set).
Configure the number of records of training data to use per training loop step.
Configure the number of epochs for early stopping.
|Save checkpoints epochs||Configure the number of epochs to be used for timing checkpoints for saving parameters.|