Developer Guide for Intel® Data Analytics Acceleration Library 2016 Update 4
Initialization of item factors for the implicit ALS algorithm accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
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Input ID |
Input |
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|---|---|---|
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data |
Pointer to the m x n numeric table with the mining data. The input can be an object of any class derived from NumericTable except PackedTriangularMatrix and PackedSymmetricMatrix. |
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Initialization of item factors for the implicit ALS algorithm has the following parameters:
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Parameter |
Default Value |
Description |
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|---|---|---|---|
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algorithmFPType |
double |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
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method |
defaultDense |
Available computation methods:
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nFactors |
10 |
The total number of factors. |
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seed |
777777 |
The seed for the random number generation in the initialization step. |
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Initialization of item factors for the implicit ALS algorithm calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
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Result ID |
Result |
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|---|---|---|
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model |
The model with initialized item factors. The result can only be an object of the Model class. |
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