examine_model: Examine model

In ghonk/catlearn.suppls: Catlearn Supplemental Functions

Description

Function to examine the parameters, state and classification probabilites of a model across a training or test matrix.

Usage

examine_model(st, tr, model)

Arguments

st	List of initial state of the model
tr	Matrix of training or test examples
model	String indicating which model is to be examined slpDIVA DIVA model slpALCOVE ALCOVE model slpDIVAdev Developmental DIVA (only tested option)

Value

out List of lists for each trial containing trial-by-trial model information including:

• init_wts List of weights

  • in_wts Matrix of input to hidden weight (including bias)

  • out_wts Array of hidden to output weights (including bias)

• inputs Matrix of complete input information for trial

• hidden_act Matrix of hidden unit activation for trial

• result List that contains the model's post-trial state

  • st List of the model's end-trial state (see ?slpDIVA)

  • out Vector of respond probabilities

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