SMOTE

pykitml.smote(minority_data_points, k=1)

SMOTE (Synthetic Minority Oversampling TEchnique). Used to generate more data points for minority class or imbalanced learning.

Parameters:

• minority_data_points (numpy.array) – Inputs or data points corresponding to the minority class.
• k (int) – Number of neighbors to consider.

Returns:

new_points – New generated data points (Excluding data points passed to the function). k*minority_data_points.shape[0] points will be generated.

Return type:

numpy.array