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 | The total number of factors. | |
maxIterations | The number of iterations. | |
alpha | The rate of confidence. | |
lambda | The parameter of the regularization. | |
preferenceThreshold | Threshold used to define preference values. |
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. |