model
Model
Bases: Module
, ABC
Abstract base class for all NHSSynth models
Parameters:
Name | Type | Description | Default |
---|---|---|---|
data |
DataFrame
|
The data to train on |
required |
metatransformer |
MetaTransformer
|
A |
required |
batch_size |
int
|
The batch size to use during training |
32
|
use_gpu |
bool
|
Flag to determine whether to use the GPU (if available) |
False
|
Attributes:
Name | Type | Description |
---|---|---|
nrows |
The number of rows in the |
|
ncols |
The number of columns in the |
|
columns |
Index
|
The names of the columns in the |
metatransformer |
The |
|
multi_column_indices |
list[list[int]]
|
A list of lists of column indices, where each sublist containts the indices for a one-hot encoded column |
single_column_indices |
list[int]
|
Indices of all non-onehot columns |
data_loader |
DataLoader
|
A PyTorch DataLoader for the |
private |
DataLoader
|
Whether the model is private, i.e. whether the |
device |
DataLoader
|
The device to use for training (CPU or GPU) |
Raises:
Type | Description |
---|---|
TypeError
|
If the |
AssertionError
|
If the number of columns in the |
UserWarning
|
If |
Source code in src/nhssynth/modules/model/common/model.py
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|
get_args()
abstractmethod
classmethod
Returns the list of arguments to look for in an argparse.Namespace
, these must map to the arguments of the inheritor.
get_metrics()
abstractmethod
classmethod
load(path)
save(filename)
setup_device(use_gpu)
Sets up the device to use for training (CPU or GPU) depending on use_gpu
and device availability.