Input objects for the EM for GMM algorithm
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def __init__ |
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- Variant 1
- Default constructor
- Variant 2
- Copy constructor
def check |
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par, |
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method |
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Checks the correctness of the input result
- Parameters
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par | Pointer to the structure of the algorithm parameters |
method | Computation method |
def getCovariances |
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- Variant 1
Returns the collection of input covariances for the EM for GMM algorithm
- Parameters
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id | Identifier of the collection of input covariances |
- Returns
- Input object that corresponds to the given identifier
- Variant 2
Returns a covariance with a given index from the collection of input covariances
- Parameters
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id | Identifier of the collection of input covariances |
index | Index of the covariance to be returned |
- Returns
- Pointer to the table with the input covariance
def getTable |
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id |
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Returns the input numeric table for the EM for GMM algorithm
- Parameters
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id | Identifier of the input numeric table |
- Returns
- Input object that corresponds to the given identifier
def setCovariances |
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id, |
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ptr |
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Sets the input covariance object for the EM for GMM algorithm
- Parameters
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id | Identifier of the input covariance collection object |
ptr | Pointer to the object |
def setTable |
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id, |
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Sets one input object for the EM for GMM algorithm
- Parameters
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id | Identifier of the input object |
ptr | Pointer to the object |
def setValues |
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id, |
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Sets input objects for the EM for GMM algorithm
- Parameters
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id | Identifier of the input values object. Result of the EM for GMM initialization algorithm can be used. |
ptr | Pointer to the object |
The documentation for this class was generated from the following file:
- algorithms/em_gmm/__init__.py