partial_fit_logistic function

Update stochastic logistic regression model with new batch of data

Update stochastic logistic regression model with new batch of data

Perform a quasi-Newton iteration to update the model with new data.

partial_fit_logistic(logistic_model, X, y = NULL, w = NULL)

Arguments

  • logistic_model: A stoch_logistic object as output by function stochastic.logistic.regression. Will be modified in-place.
  • X: Data with covariates. If passing a data.frame, the model object must have been initialized with a formula, and X must also contain the target variable (y). If passing a matrix, must also pass y. Note that whatever factor levels are present in the first batch of data, will be taken as the whole factor levels.
  • y: The target variable, when using matrices. Ignored when using formula.
  • w: Sample weights (optional). If required, must pass them at every partial fit iteration.

Returns

No return value. Model object is updated in-place.

See Also

stochastic.logistic.regression

  • Maintainer: David Cortes
  • License: BSD_2_clause + file LICENSE
  • Last published: 2021-09-26