Batch Processing
Training
For a description of the input and output, refer to Recommendation Systems Usage Model.
At the training stage, the implicit ALS recommender has the following parameters:
Parameter | Default Value | Description |
|---|---|---|
algorithmFPType | float | The floating-point type that the algorithm uses for intermediate computations. Can be float or double . |
method | defaultDense | Available computation methods:
|
nFactors | 10 | The total number of factors. |
maxIterations | 5 | The number of iterations. |
alpha | 40 | The rate of confidence. |
lambda | 0.01 | The parameter of the regularization. |
preferenceThreshold | 0 | Threshold used to define preference values. 0 is the only threshold supported so far. |
Prediction
For a description of the input and output, refer to Recommendation Systems Usage Model.
At the prediction stage, the implicit ALS recommender has the following parameters:
Parameter | Default Value | Description |
|---|---|---|
algorithmFPType | float | The floating-point type that the algorithm uses for intermediate computations. Can be float or double . |
method | defaultDense | Performance-oriented computation method, the only method supported by the algorithm. |