partial_fit: Partial fit stochastic model to new data

In stochQN: Stochastic Limited Memory Quasi-Newton Optimizers

Description

Runs one iteration of the stochastic optimizer on the new data passed here.

Usage

partial_fit(optimizer, X, y = NULL, weights = NULL, ...)

Arguments

optimizer	A stochastic optimizer from this package as output by functions 'oLBFGS', 'SQN', 'adaQN'. Will be modified in-place.
X	Covariates to pass to the user-defined gradient / objective / Hessian-vector functions.
y	Target variable to pass to the user-defined gradient / objective / Hessian-vector functions.
weights	Target variable to pass to the user-defined gradient / objective / Hessian-vector functions.
...	Additional arguments to pass to the user-defined gradient / objective / Hessian-vector functions.

Value

No return value (object is modified in-place).

See Also

oLBFGS , SQN , adaQN

stochQN documentation built on Sept. 26, 2021, 9:07 a.m.