Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Partial model trained by the implicit ALS training algorithm in the distributed processing mode. More...
Public Member Functions | |
def | serializationTag |
def | getSerializationTag |
def | create |
def | getFactors |
def | getIndices |
def | __init__ |
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def | __init__ |
def | getSerializationTag |
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def | serialize |
def | deserialize |
def | getSerializationTag |
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def | __init__ |
def __init__ | ( | self, | |
args | |||
) |
Constructs a partial implicit ALS model from the indices and factors stored in the numeric tables
factors | Pointer to the numeric table with factors stored in row-major order |
indices | Pointer to the numeric table with the indices of factors |
Empty constructor for deserialization
Constructs a partial implicit ALS model of a specified size
parameter | Implicit ALS parameters |
size | Model size |
dummy | Dummy variable for the templated constructor |
Constructs a partial implicit ALS model from the indices of factors
parameter | Implicit ALS parameters |
offset | Index of the first factor in the partial model |
indices | Pointer to the numeric table with the indices of factors |
dummy | Dummy variable for the templated constructor |
float64
float32
def create | ( | factors, | |
indices, | |||
stat = None |
|||
) |
Constructs a partial implicit ALS model from the indices and factors stored in the numeric tables
factors | Pointer to the numeric table with factors stored in row-major order |
indices | Pointer to the numeric table with the indices of factors |
stat | Status of the model construction |
def getFactors | ( | self | ) |
Returns pointer to the numeric table with factors stored in row-major order
def getIndices | ( | self | ) |
Returns the pointer to the numeric table with the indices of factors
def getSerializationTag | ( | self | ) |
getSerializationTag(PartialModel self) -> int
def serializationTag | ( | ) |
serializationTag() -> int
For more complete information about compiler optimizations, see our Optimization Notice.