# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# - - - - - - - - - - - - - - - - SVMCfg-prml.txt - - - - - - - - - - - - - -
#
# A txt description of a BlockConfig for a SVMBlock asking its abstract
# representation to encode the training problem itself, which only exists for the
# linear kernel, no other one having an explicit finite-dimensional feature map
#
#   Donato Meoli
#
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

BlockConfig # exact type of the Configuration object

1  # the BlockConfig is a "differential" one

2  # version of the BlockConfig format

# the Configuration for the structure, i.e., the tree of sub-Block
*  # [none]

# static_constraints
*    # [none]

# dynamic_constraints
*    # [none]

# static_variables
SimpleConfiguration<int>
1    # 0 = Wolfe dual, 1 = the training problem itself

# dynamic_variables
*    # [none]

# objective
*    # [none]

# is_feasible
*    # [none]

# is_optimal
*    # [none]

# solution
*    # [none]

# extra
*    # [none]

# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# - - - - - - - - - - - - - - - - END SVMCfg-prml.txt - - - - - - - - - - - -
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
