Input objects for model-based training
More...
def __init__ |
( |
|
self, |
|
|
|
args |
|
) |
| |
- Variant 1
- Default constructor
- Variant 2
- Copy constructor
def check |
( |
|
self, |
|
|
|
par, |
|
|
|
method |
|
) |
| |
Checks an input object for the gradient boosted trees algorithm
- Parameters
-
par | Algorithm parameter |
method | Computation method |
- Returns
- Status of checking
Returns an input object for model-based training
- Parameters
-
id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
def set |
( |
|
self, |
|
|
|
id, |
|
|
|
value |
|
) |
| |
Sets an input object for model-based training
- Parameters
-
id | Identifier of the input object |
value | Pointer to the object |
The documentation for this class was generated from the following file:
- gbt/regression/training.py