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Davis King 2013-08-08 19:37:39 -04:00
parent c87571ce4e
commit 5be1478295
1 changed files with 5 additions and 4 deletions
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9
python_examples/svm_struct.py
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@ -91,9 +91,9 @@ class three_class_classifier_problem:
# At test time, the best label for a new x is given by the y which maximizes F(x,y).
# To put this into the context of the current example, F(x,y) computes the score for a
# given sample and class label. The predicted class label is therefore whatever value
# of y makes F(x,y) the biggest. This is exactly what predict_label() does. That is,
# it computes F(x,0), F(x,1), and F(x,2) and then reports which label has the biggest
# value.
# of y which makes F(x,y) the biggest. This is exactly what predict_label() does.
# That is, it computes F(x,0), F(x,1), and F(x,2) and then reports which label has the
# biggest value.
#
# At a high level, a structural SVM can be thought of as searching the parameter space
# of F(x,y) for the set of parameters that make the following inequality true as often
@ -167,7 +167,8 @@ class three_class_classifier_problem:
# The optimizer uses an internal cache to avoid unnecessary calls to your
# separation_oracle() routine. This parameter controls the size of that cache. Bigger
# values use more RAM and might make the optimizer run faster. You can also disable it
# by setting it to 0 which is good to do when your separation_oracle is very fast.
# by setting it to 0 which is good to do when your separation_oracle is very fast. If
# If you don't call this function it defaults to a value of 5.
#max_cache_size = 20