INNER CODE UNIT · Python
create_training_dataset
DeepLabCut/DeepLabCut · deeplabcut/cli.py:251
def create_training_dataset(_, *args, **kwargs):
"""Combine frame and label information into an array. Create training and test sets.
Delegates to ``deeplabcut.create_training_dataset``.
Update parameters TrainFraction and iteration in config.yaml. Also update
parameters for pose_config.yaml as wanted.
Args:
config (string): Full path of the config.yaml file in the train directory of a
project.
num_shuffles (int, optional): Number of shuffles of training dataset to create.
Defaults to 1.
Examples:
To create a training dataset with only 1 shuffle:
```bash