C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
Classes | |
class | BatchContainer |
Provides methods to run implementations of the implicit ALS ratings prediction algorithm in the batch processing mode. More... | |
class | Batch |
Predicts the results of the implicit ALS algorithm. More... | |
class | DistributedContainer |
Class that contains methods to run implicit ALS model-based prediction in the distributed processing mode. More... | |
class | DistributedContainer< step1Local, algorithmFPType, method, cpu > |
Class that contains methods to run implicit ALS model-based prediction in the first step of the distributed processing mode. More... | |
class | Distributed |
Runs implicit ALS model-based prediction in the distributed processing mode. More... | |
class | Distributed< step1Local, algorithmFPType, method > |
Performs implicit ALS model-based prediction in the first step of the distributed processing mode. More... | |
class | InputIface |
Input interface for the rating prediction stage of the implicit ALS algorithm More... | |
class | Input |
Input objects for the rating prediction stage of the implicit ALS algorithm More... | |
class | DistributedInput |
Input objects for the rating prediction stage of the implicit ALS algorithm in the distributed processing mode More... | |
class | DistributedInput< step1Local > |
Input objects for the first step of the rating prediction stage of the implicit ALS algorithm in the distributed processing mode More... | |
class | Result |
Provides methods to access the prediction results obtained with the compute() method of the implicit ALS algorithm in the batch processing mode. More... | |
class | PartialResult |
Provides methods to access partial results obtained with the compute() method of the implicit ALS initialization algorithm in the rating prediction stage. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.