http://3cbzkrvakrpetjjppdwzbzqrlkmzatjs7jbyazap5gwutj32gcltjpqd.onion
While still a MVP stressing minimal viable product,
the two supported methods adaBoost and (regularized) linear regression
both serialize and store their model object permitting rapid prediction
on new data as shown in the adaBoost example: -- Perform adaBoost (using weak learner 'Perceptron' by default) -- Read 'features' into 'X', 'labels' into 'Y', use optional parameters -- from 'Z', and prepare model storage in 'M' CREATE TABLE X AS SELECT * FROM read_csv(...