Method run

src/modules/crf/linear_crf.cpp:850–867

* @brief Compute the log likelihood and gradient vector for each tuple */

 * @brief Compute the log likelihood and gradient vector for each tuple
 */
AnyType
lincrf_lbfgs_step_transition::run(AnyType &args) {
    LinCrfLBFGSTransitionState<MutableArrayHandle<double> > state = args[0];
    MappedColumnVector sparse_r = args[1].getAs<MappedColumnVector>();
    MappedColumnVector dense_m = args[2].getAs<MappedColumnVector>();
    MappedColumnVector sparse_m = args[3].getAs<MappedColumnVector>();
    if (state.numRows == 0) {
        state.initialize(*this, static_cast<uint32_t>(args[4].getAs<double>()), static_cast<uint32_t>(args[5].getAs<double>()));
        if (!args[6].isNull()) {
            LinCrfLBFGSTransitionState<ArrayHandle<double> > previousState = args[6];
            state = previousState;
            state.reset();
        }
    }
    state.numRows++;
    compute_logli_gradient(state, sparse_r, dense_m, sparse_m);
    return state;
}

/**
 * @brief Perform the perliminary aggregation function: Merge transition states