Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
algorithms
Classes | |
| class | Algorithm |
| Implements the abstract interface AlgorithmIface. More... | |
| class | AlgorithmContainer |
| Abstract interface class that provides virtual methods to access and run implementations of the algorithms in batch mode. More... | |
| class | AlgorithmContainerIfaceImpl |
| Implements the abstract interface AlgorithmContainerIfaceImpl. More... | |
| class | AlgorithmContainerImpl |
| Abstract interface class that provides virtual methods to access and run implementations of the algorithms in batch mode. More... | |
| class | AlgorithmIface |
| Abstract class which defines interface for the library component related to data processing involving execution of the algorithms for analysis, modeling, and prediction. More... | |
| class | AlgorithmIfaceImpl |
| Implements the abstract interface AlgorithmIface. More... | |
| class | AlgorithmImpl |
| Provides implementations of the compute and checkComputeParams methods of the Algorithm<batch> class. More... | |
| class | Analysis |
| Provides methods for execution of operations over data, such as computation of Summary Statistics estimates. More... | |
| class | Argument |
| Base class to represent computation input and output arguments. More... | |
| class | DistributedPrediction |
| class | Input |
| Base class to represent computation input arguments. More... | |
| class | Kernel |
| Base class to represent algorithm implementation More... | |
| class | Model |
| The base class for the classes that represent the models, such as linear_regression.Model or svm.Model. More... | |
| class | OptionalArgument |
| Base class to represent argument with serialization methods More... | |
| class | Parameter |
| Base class to represent computation parameters. More... | |
| class | PartialResult |
| Base class to represent partial results of the computation. More... | |
| class | Prediction |
| Provides prediction methods depending on the model such as linear_regression.Model. More... | |
| class | Result |
| Base class to represent final results of the computation. More... | |
| class | SerializableArgument |
| Base class to represent argument with serialization methods More... | |
| class | Training |
| Provides methods to train models that depend on the data provided. More... | |
| class | ValidationMetricIface |
| def | OptionalArgument_serializationTag |
| def daal.algorithms.OptionalArgument_serializationTag | ( | ) |
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