Runs the sequential coordinate-ascent MaxEnt optimization.
Usage
maxent_train(
fs_ptr,
max_iter = 500L,
convergence = 1e-05,
beta_multiplier = 1,
min_deviation = 0.001
)
Arguments
- fs_ptr
External pointer to a FeaturedSpace object.
- max_iter
Maximum number of training iterations (default 500).
- convergence
Convergence threshold (default 1e-5).
- beta_multiplier
Regularization multiplier (default 1.0).
- min_deviation
Minimum sample deviation floor (default 0.001).
Value
Named list with elements: loss, entropy,
iterations, converged, lambdas.
