Example: Custom Training Pipeline¶
Create a fully customized training pipeline.
Overview¶
Build a pipeline that: - Uses custom data loading - Applies unique preprocessing - Implements custom metrics - Handles edge cases
Custom Configuration¶
agent:
type: custom
custom:
data_loader: my_loader.py
preprocessor: my_preprocessor.py
metrics: my_metrics.py
training:
custom_callback: my_callback.py
Custom Data Loader¶
# my_loader.py
class CustomDataLoader:
def __init__(self, path):
self.path = path
def load(self):
# Custom loading logic
return X, y
Custom Training Loop¶
# Train with full control
agent = Agent(config)
agent.fit_custom(
train_data=X_train,
valid_data=X_val,
custom_callback=my_callback
)