multiml.task.keras.modules.connection_model module
- class multiml.task.keras.modules.connection_model.ConnectionModel(*args, **kwargs)
Bases:
ConnectionModel
,BaseModel
- __init__(*args, **kwargs)
- Parameters:
*args – Variable length argument list
**kwargs – Arbitrary keyword arguments
- call(inputs)
Calls the model on new inputs.
In this case call just reapplies all ops in the graph to the new inputs (e.g. build a new computational graph from the provided inputs).
- Parameters:
inputs – A tensor or list of tensors.
training – Boolean or boolean scalar tensor, indicating whether to run the Network in training mode or inference mode.
mask – A mask or list of masks. A mask can be either a tensor or None (no mask).
- Returns:
A tensor if there is a single output, or a list of tensors if there are more than one outputs.