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Updated and renamed classes for lr example

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Alejandro Saucedo 2020-09-27 14:09:16 +01:00
parent 143baa4db3
commit 8959d90fa6
37 changed files with 402 additions and 60 deletions
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39
examples/godot_logistic_regression/godot_resources/scripts/DynamicExampleScript.gd
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@ -1,29 +1,36 @@
extends Node2D
onready var xi_node = $UI/UIVBoxContainer/XIHBoxContainer/LineEdit
onready var xj_node = $UI/UIVBoxContainer/XJHBoxContainer/LineEdit
onready var y_node = $UI/UIVBoxContainer/XJHBoxContainer/LineEdit
onready var preds_node = $UI/UIVBoxContainer/Panel/VBoxContainer/PredHBoxContainer2/PredictionsLabel
onready var w1_node = $UI/UIVBoxContainer/Panel/VBoxContainer/PredHBoxContainer/Weight1Label
onready var w2_node = $UI/UIVBoxContainer/Panel/VBoxContainer/PredHBoxContainer/Weight2Label
onready var bias_node = $UI/UIVBoxContainer/Panel/VBoxContainer/PredHBoxContainer/BiasLabel
# Called when the node enters the scene tree for the first time.
func _ready():
pass
var xi = [0, 1, 1, 1, 1, 1]
var xj = [0, 0, 0, 1, 1, 1]
func compute_ml():
var y_train_1 = [0, 0, 0, 1, 1, 1]
var xi = str2var(xi_node.text)
var xj = str2var(xj_node.text)
var y = str2var(y_node.text)
print("Training with " + str(y_train_1))
$KomputeNode.train(y_train_1, xi, xj)
var s = KomputeModelML.new()
print("Now running prediction with " + str(xi) + " and " + str(xj))
print($KomputeNode.predict(xi, xj))
s.train(y, xi, xj)
# We can also reference the class as named in editor
# and create a new instance
var s = KomputeSummator.new()
var preds = s.predict(xi, xj)
# We can use a new prediciton value to see how weights change
var y_train_2 = [0, 0, 1, 1, 1, 1]
preds_node.text = str(preds)
var params = s.get_params()
w1_node.set_text(str(params[0]))
w2_node.set_text(str(params[1]))
bias_node.set_text(str(params[2]))
print("\nTraining with " + str(y_train_2))
s.train(y_train_2, xi, xj)
print("Now running prediction with " + str(xi) + " and " + str(xj))
print(s.predict(xi, xj))