R: Stochastic Limited Memory Quasi-Newton Optimizers

# Stochastic Limited Memory Quasi-Newton Optimizers

## Documentation for package ‘stochQN’ version 0.1.2-1

- DESCRIPTION file

## Help Pages

adaQN | adaQN guided optimizer
adaQN_free | adaQN Free-Mode Optimizer
coef.stoch_logistic | Retrieve fitted coefficients from stochastic logistic regression object
get_curr_x | Get current values of the optimization variables
get_iteration_number | Get current iteration number from the optimizer object
oLBFGS | oLBFGS guided optimizer
oLBFGS_free | oLBFGS Free-Mode Optimizer
partial_fit | Partial fit stochastic model to new data
partial_fit_logistic | Update stochastic logistic regression model with new batch of data
predict.stochQN_guided | Predict function for stochastic optimizer object
predict.stoch_logistic | Prediction function for stochastic logistic regression
print.adaQN | Print summary info about adaQN guided-mode object
print.adaQN_free | Print summary info about adaQN free-mode object
print.oLBFGS | Print summary info about oLBFGS guided-mode object
print.oLBFGS_free | Print summary info about oLBFGS free-mode object
print.SQN | Print summary info about SQN guided-mode object
print.SQN_free | Print summary info about SQN free-mode object
print.stoch_logistic | Print general info about stochastic logistic regression object
run_adaQN_free | Run adaQN optimizer in free-mode
run_oLBFGS_free | Run oLBFGS optimizer in free-mode
run_SQN_free | Run SQN optimizer in free-mode
SQN | SQN guided optimizer
SQN_free | SQN Free-Mode Optimizer
stochastic.logistic.regression | Stochastic Logistic Regression
summary.stoch_logistic | Print general info about stochastic logistic regression object
update_fun | Update objective function value (adaQN)
update_gradient | Update gradient (oLBFGS, SQN, adaQN)
update_hess_vec | Update Hessian-vector product (SQN)