Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Provides methods to train models that depend on the data provided. More...
Additional Inherited Members | |
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def | computeNoThrow |
def | compute |
def | checkComputeParams |
def | checkResult |
def | setupCompute |
def | resetCompute |
def | enableResetOnCompute |
def | hostApp |
def | setHostApp |
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def | checkComputeParams |
def | getBaseParameter |
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def | enableChecks |
def | isChecksEnabled |
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def | checkComputeParams |
def | checkResult |
def | getMethod |
For example, these methods enable training the linear regression model. The methods of the class support different computation modes: batch, distributed, and online(see ComputeMode). Classes that implement specific algorithms of model training are derived classes of the Training class. The class additionally provides methods for validation of input and output parameters of the algorithms.
mode | Computation mode of the algorithm, ComputeMode |
Training_Batch
is an alias of Training(cmode=daal.batch)
Training_Online
is an alias of Training(cmode=daal.online)
Training_Distributed
is an alias of Training(cmode=daal.distributed)
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