Input objects of the neural network training algorithm.
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| def __init__ |
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| def add |
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id, |
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key, |
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value |
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Sets input object for the neural network training algorithm
- Parameters
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| id | Identifier of the input object |
| key | Key to use to retrieve data |
| value | Pointer to the input object |
| def check |
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par, |
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method |
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Checks input object for the neural network algorithm
- Parameters
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| par | Algorithm parameter |
| method | Computatiom method |
- Returns
- Status of computations
| def getInput |
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id |
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Returns input object for the neural network training algorithm
- Parameters
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| id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
| def getInputCollection |
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- Variant 1
Returns input object for the neural network training algorithm
- Parameters
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| id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
- Variant 2
Returns input object for the neural network training algorithm
- Parameters
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| id | Identifier of the input object |
| key | Key to use to retrieve data |
- Returns
- Input object that corresponds to the given identifier
| def setInput |
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self, |
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id, |
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value |
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Sets input object for the neural network training algorithm
- Parameters
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| id | Identifier of the input object |
| value | Pointer to the input object |
| def setInputCollection |
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self, |
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id, |
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value |
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Sets input object for the neural network training algorithm
- Parameters
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| id | Identifier of the input object |
| value | Pointer to the input object |
The documentation for this class was generated from the following file:
- neural_networks/training.py