Base class for the input objects in the training stage of the regression algorithms.
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◆ check()
Checks the correctness of the input object
- Parameters
-
[in] | parameter | Pointer to the structure of the algorithm parameters |
[in] | method | Computation method |
Reimplemented from Input.
◆ get()
Returns the input object in the training stage of the regression algorithm
- Parameters
-
[in] | id | Identifier of the input object, InputId |
- Returns
- Input object that corresponds to the given identifier
◆ getNumberOfDependentVariables()
size_t getNumberOfDependentVariables |
( |
| ) |
const |
Returns the number of dependent variables
- Returns
- Number of dependent variables
◆ getNumberOfFeatures()
size_t getNumberOfFeatures |
( |
| ) |
const |
Returns the number of columns in the input data set
- Returns
- Number of columns in the input data set
◆ set()
Sets the input object in the training stage of the regression algorithm
- Parameters
-
[in] | id | Identifier of the input object, InputId |
[in] | value | Pointer to the input object |
The documentation for this class was generated from the following file: