Description
The num_experiments
field defines the number of experiments AutoML will run to optimize your model. Each experiment involves training and evaluating a model with different configurations.
A higher number of experiments increases the chances of finding the best-performing model but also requires more computational resources and time.
num_experiments
must be>= 1
.
Supported Task Types
- All
Default Values (Classification Tasks)
run_mode | Default Value |
---|---|
FAST | 2 |
NORMAL | 4 |
BEST | 8 |
Default Values (Other Tasks)
run_mode | Default Value |
---|---|
FAST | 4 |
NORMAL | 8 |
BEST | 16 |
Updated 23 days ago