A Growing Neural Gas uses a variable number of variable-topology neurons.
In essence, a GNG is similar to a standard Gas, but there is additional logic in this class for adding new neurons to better explain areas of the sample space that currently have large error.
Attributes
| shape |
Methods
| distance_heatmap(cue[, axes, lower, upper]) | Return an image representation of the distance to a cue. |
| distances(cue) | Get the distance of each neuron in the Map to a particular cue. |
| flat_to_coords(i) | Given a flattened index, convert it to a coordinate tuple. |
| learn(cue[, weights, distances]) | Store a cue in the gas. |
| neighbors(i) | |
| neuron(coords) | Get the current state of a specific neuron. |
| neuron_heatmap([axes, lower, upper]) | Return an image representation of this Map. |
| reset([f]) | Reset the neurons and timeseries in the Map. |
| sample(n) | Get a sample of n neuron coordinates from the map. |
| smallest(distances) | Get the index of the smallest element in the given distances array. |
| weights(distances) | |
| winner(cue) | Get the coordinates of the most similar neuron to the given cue. |
Methods
| __init__(params) | Initialize a new Growing Gas with parameters. |
| distance_heatmap(cue[, axes, lower, upper]) | Return an image representation of the distance to a cue. |
| distances(cue) | Get the distance of each neuron in the Map to a particular cue. |
| flat_to_coords(i) | Given a flattened index, convert it to a coordinate tuple. |
| learn(cue[, weights, distances]) | Store a cue in the gas. |
| neighbors(i) | |
| neuron(coords) | Get the current state of a specific neuron. |
| neuron_heatmap([axes, lower, upper]) | Return an image representation of this Map. |
| reset([f]) | Reset the neurons and timeseries in the Map. |
| sample(n) | Get a sample of n neuron coordinates from the map. |
| smallest(distances) | Get the index of the smallest element in the given distances array. |
| weights(distances) | |
| winner(cue) | Get the coordinates of the most similar neuron to the given cue. |
Attributes
| shape |