Description: This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classification problems (many classes, many examples, high dimensional data).
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File list (Check if you may need any files):
jsgd-61
.......\c
.......\.\jsgd.c
.......\.\jsgd.h
.......\.\x_matrix.c
.......\.\x_matrix.h
.......\Makefile
.......\matlab
.......\......\jsgd_train.c
.......\......\jsgd_train.m
.......\......\jsgd_train.mexa64
.......\......\pq_decode.m
.......\......\test_jsgd_train.m
.......\......\test_pq_encoded.m
.......\python
.......\......\crossval.py
.......\......\example_BOW.py
.......\......\jsgd.py
.......\......\jsgd_wrap.py
.......\......\jsgd_wrap.swg
.......\......\jsgd_wrap_wrap.c
.......\......\test_jsgd_train.py
.......\README
.......\ref
.......\...\generate_toy_data.m
.......\...\plot_with_labels.m
.......\...\read_svmlight.m
.......\...\sgd_simple.m
.......\...\sgd_simple_toy_data.m
.......\...\write_svmlight.m