tr_add: Training Matrix filler

In ghonk/catlearn.suppls: Catlearn Supplemental Functions

Description

Add trials to an initialized tr object.

Usage

tr_add(inputs, tr, labels = NULL, blocks = 1, ctrl = 2, shuffle = FALSE,
  reset = FALSE)

Arguments

inputs	Matrix of feature values for each item
tr	Initialized trial object
labels	Integer class labels for each input. Default NULL
blocks	Integer number of repetitions. Default 1
ctrl	Integer control parameter, applying to all inputs. Default 2 0 Run model and train 1 Re-initialize model 2 Test model (no training)
shuffle	Boolean, shuffle each block. Default FALSE
reset	Boolean, reset state on first trial (ctrl = 1). Default FALSE

Value

An updated dataframe

ghonk/catlearn.suppls documentation built on May 3, 2019, 5:16 p.m.