NeuralNetTools: bias_lines – R documentation

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bias_lines

Plot connection weights for bias lines

Plot connection weights for bias lines in plotnet

bias_lines(bias_x, bias_y, mod_in, nid, rel_rsc, all_out, pos_col, neg_col,
  struct, y_names, x_range, y_range, layer_x, line_stag, max_sp)

`bias_x`	numeric vector x axis locations for bias lines
`bias_y`	numeric vector y axis locations for bias lines
`mod_in`	neural network model object
`nid`	logical value indicating if neural interpretation diagram is plotted, default `TRUE`
`rel_rsc`	numeric indicating the scaling range for the width of connection weights in a neural interpretation diagram. Default is `NULL` for no rescaling.
`all_out`	chr string indicating names of response variables for which connections are plotted, default all
`pos_col`	chr string indicating color of positive connection weights, default `'black'`
`neg_col`	chr string indicating color of negative connection weights, default `'grey'`
`struct`	numeric vector for network structure
`y_names`	chr string for names of output variables
`x_range`	numeric of x axis range for base plot
`y_range`	numeric of x axis range for base plot
`layer_x`	numeric indicating locations of layers on x axis
`line_stag`	numeric value that specifies distance of connection weights from nodes
`max_sp`	logical indicating if space is maximized in plot

Visualization and Analysis Tools for Neural Networks

v1.5.2

CC0

Authors

Marcus W. Beck [aut, cre]

Initial release

2018-07-26