Input objects for the implicit ALS training algorithm in the fourth step of the distributed processing mode
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template<>
class daal::algorithms::implicit_als::training::interface1::DistributedInput< step4Local >
◆ DistributedInput() [1/2]
◆ DistributedInput() [2/2]
◆ check()
Checks the parameters and input objects for the implicit ALS training algorithm in the first step of the distributed processing mode
- Parameters
-
[in] | parameter | Parameter of the algorithm |
[in] | method | Computation method of the algorithm |
Reimplemented from Input.
◆ get() [1/2]
Returns an input key-value data collection object for the implicit ALS training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier. A key-value data collection contains partial models consisting of user factors/item factors computed in the third step of the distributed processing mode
◆ get() [2/2]
Returns an input numeric table object for the implicit ALS training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
◆ getNumberOfRows()
size_t getNumberOfRows |
( |
| ) |
const |
Returns the number of rows in the partial matrix of users factors/items factors
- Returns
- Number of rows in the partial matrix of factors
◆ set() [1/2]
Sets an input key-value data collection object for the implicit ALS training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
[in] | ptr | Pointer to the new input object value |
◆ set() [2/2]
Sets an input numeric table object for the implicit ALS training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
[in] | ptr | Pointer to the new input object value |
The documentation for this class was generated from the following file: