Usage Model: Training and Prediction

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

Classification Algorithms Training Stage Workflow

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 `n` x `p` numeric table with the training data set. This table can be an object of any class derived from NumericTable.
labels	Pointer to the `n` x 1 numeric table with class labels. This table can be an object of any class derived from NumericTable.

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

Classification Algorithms Prediction Stage Workflow

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 `n` x `p` numeric table with the working data set. This table can be an object of any class derived from NumericTable.
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 `n` x 1 numeric table with classification results (class labels or confidence levels). 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, and CSRNumericTable.