Enumeration for matrix and vector operations

This section describes the enumerations that are used in various matrix and vector methods.

ENUM_AVERAGE_MODE

Smoothing type enumeration.

ID	Description
AVERAGE_NONE	No averaging. Results are provided for each label separately
AVERAGE_BINARY	Label 1 result for binary classification
AVERAGE_MICRO	Average error matrix result (confusion matrix)
AVERAGE_MACRO	Average result from the results of the error matrices of each label
AVERAGE_WEIGHTED	Weighted average result

ENUM_VECTOR_NORM

Enumeration of vector norms for vector::Norm.

ENUM_MATRIX_NORM

Enumeration of matrix norms for matrix::Norm and for obtaining the matrix::Cond matrix condition number.

ENUM_VECTOR_CONVOLVE

Enumeration for convolution vector::Convolve and cross-correlation vector::Correlate.

ENUM_REGRESSION_METRIC

Enumeration of regression metrics for vector::RegressionMetric.

ID	Description
REGRESSION_MAE	Mean Absolute Error
REGRESSION_MSE	Mean Squared Error
REGRESSION_RMSE	Root Mean Squared Error
REGRESSION_R2	R-Squared
REGRESSION_MAPE	Mean Absolute Percentage Error
REGRESSION_MSPE	Mean Squared Percentage Error
REGRESSION_RMSLE	Root Mean Squared Logarithmic Error
REGRESSION_SMAPE	Symmetric Mean Absolute Percentage Error
REGRESSION_MAXE	Maximal Absolute Error
REGRESSION_MEDE	Median Absolute Error
REGRESSION_MPD	Mean Poisson Deviance
REGRESSION_MGD	Mean Gamma Deviance
REGRESSION_EXPV	Explained Variance

ENUM_CLASSIFICATION_METRIC

Enumeration of metrics for classification problems.

ID	Description
CLASSIFICATION_ACCURACY	Model quality in terms of prediction accuracy for all classes
CLASSIFICATION_AVERAGE_PRECISION	Average model accuracy
CLASSIFICATION_BALANCED_ACCURACY	Balanced prediction accuracy
CLASSIFICATION_F1	F1 score. Harmonic mean between the model precision and recall
CLASSIFICATION_JACCARD	Jaccard score
CLASSIFICATION_PRECISION	Model accuracy in predicting true positives for the target class
CLASSIFICATION_RECALL	Model completeness
CLASSIFICATION_ROC_AUC	Area under the error curve
CLASSIFICATION_TOP_K_ACCURACY	Frequency of the correct label appearing at the top of k predicted labels

ENUM_LOSS_FUNCTION

Enumeration for loss function calculations vector::Loss.

ID	Description
LOSS_MSE	Root mean square error
LOSS_MAE	Mean Absolute Error
LOSS_CCE	Categorical Crossentropy
LOSS_BCE	Binary Crossentropy
LOSS_MAPE	Mean Absolute Percentage Error
LOSS_MSLE	Mean Squared Logarithmic Error
LOSS_KLD	Kullback-Leibler Divergence
LOSS_COSINE	Cosine similarity/proximity
LOSS_POISSON	Poisson
LOSS_HINGE	Hinge
LOSS_SQ_HINGE	Squared Hinge
LOSS_CAT_HINGE	Categorical Hinge
LOSS_LOG_COSH	Logarithm of the Hyperbolic Cosine
LOSS_HUBER	Huber

ENUM_ACTIVATION_FUNCTION

Enumeration for the activation function vector::Activation and for the activation function derivative vector::Derivative.

ID	Description
AF_ELU	Exponential Linear Unit
AF_EXP	Exponential
AF_GELU	Gaussian Error Linear Unit
AF_HARD_SIGMOID	Hard Sigmoid
AF_LINEAR	Linear
AF_LRELU	Leaky Rectified Linear Unit
AF_RELU	REctified Linear Unit
AF_SELU	Scaled Exponential Linear Unit
AF_SIGMOID	Sigmoid
AF_SOFTMAX	Softmax
AF_SOFTPLUS	Softplus
AF_SOFTSIGN	Softsign
AF_SWISH	Swish
AF_TANH	The hyperbolic tangent function
AF_TRELU	Thresholded Rectified Linear Unit

ENUM_SORT_MODE

Enumeration of sort types for the Sort function.

ID	Description
SORT_ASCENDING	Sort ascending
SORT_DESCENDING	Sort descending

ENUM_MATRIX_AXIS

Enumeration for specifying the axis in all statistical functions for matrices.

ID	Description
AXIS_NONE	The axis is not specified. Calculation is performed over all matrix elements, as if it were a vector (see the Flat method).
AXIS_HORZ	Horizontal axis
AXIS_VERT	Vertical axis

Initialization