Visible to Intel only — GUID: GUID-2FDE8B5B-2952-4791-B875-E59B044DDC79
Visible to Intel only — GUID: GUID-2FDE8B5B-2952-4791-B875-E59B044DDC79
Classification Usage Model
A typical workflow for classification methods includes training and prediction, as explained below.
Algorithm-Specific Parameters
The parameters used by classification algorithms at each stage depend on a specific algorithm. For a list of these parameters, refer to the description of an appropriate classification algorithm.
Training Stage
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At the training stage, classification algorithms accept the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID |
Input |
---|---|
data |
Pointer to the |
weights |
Weights of the observations in the training data set. Argument is optional, but it is required by the selected algorithms. |
labels |
Pointer to the This table can be an object of any class derived from NumericTable except PackedSymmetricMatrix and PackedTriangularMatrix. |
At the training stage, classification algorithms calculate the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID |
Result |
---|---|
model |
Pointer to the classification model being trained. The result can only be an object of the Model class. |
Prediction Stage
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At the prediction stage, classification algorithms accept the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID |
Input |
---|---|
data |
Pointer to the |
model |
Pointer to the trained classification model. This input can only be an object of the Model class. |
At the prediction stage, classification algorithms calculate the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID |
Result |
---|---|
prediction |
Pointer to the
NOTE:
By default, this table is an object of the HomogenNumericTable class, but you can define it as an object of any class derived from NumericTable except PackedSymmetricMatrix and PackedTriangularMatrix.
|
probabilities |
A numeric table of size |
logProbabilities |
A numeric table of size
NOTE:
By default, this table is an object of the HomogenNumericTable class, but you can define it as an object of any class derived from NumericTable except PackedSymmetricMatrix, PackedTriangularMatrix, CSRNumericTable.
|