Normalizes datasets in the batch processing mode.
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- Parameters
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fptype | Data type to use in intermediate computations for the min-max normalization, double or float |
method | Min-max normalization computation method, daal.algorithms.normalization.minmax.Method |
- Enumerations
- daal.algorithms.normalization.minmax.Method Min-max normalization computation methods
- daal.algorithms.normalization.minmax.InputId Identifiers of min-max normalization input objects
- daal.algorithms.normalization.minmax.ResultId Identifiers of min-max normalization results
- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.normalization.minmax.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.normalization.minmax.defaultDense)
def __init__ |
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- Variant 1
- Default constructor
- Variant 2
Constructs min-max normalization algorithm by copying input objects of another min-max normalization algorithm
- Parameters
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other | An algorithm to be used as the source to initialize the input objects of the algorithm |
Returns a pointer to the newly allocated min-max normalization algorithm with a copy of input objects of this min-max normalization algorithm
- Returns
- Pointer to the newly allocated algorithm
Returns method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains computed results of the min-max normalization
- Returns
- Structure that contains computed results of the min-max normalization
def setResult |
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Registers user-allocated memory to store results of the min-max normalization algorithms
- Parameters
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result | Structure to store results of the min-max normalization algorithms |
- Returns
- Status of computations
The documentation for this class was generated from the following file: