自动热键矩阵 (AHK)

Question

目前我正在 AHK 研究 AI。

现在我有一个问题，我不知道如何处理矩阵。请参见下面的示例矩阵：

WeightLooper := 1

Loop %NumberOfWeightsLayerTotal%
{
    Random, Weight_%WeightLooper%, -1.0, 1.0
    WeightLooper := WeightLooper + 1 
}

WEIGHTS_1 := Array([Weight_1, Weight_2, Weight_3, Weight_4], [Weight_5, Weight_6, Weight_7, Weight_8], [Weight_9, Weight_10, Weight_11, Weight_12])

TRAINING_INPUTS := []
rows := (LastFilledY - 1)
columns := (LastFilledX - 1)
Xas := 0
Yas := 0
Loop, % rows
{
    Xas := 0
    Yas := Yas + 1
    row := []
    Loop, % columns
    {
        Xas := Xas + 1
        row.push(myarray[Yas][Xas])
    }
    TRAINING_INPUTS.push(row)
}

现在我有一个 3x4 的矩阵。假设我想要一个 10x10 的矩阵，我该怎么做？所以基本上我想创建一个变量矩阵。

我问这个是因为我的输入（csv 文件）可以在 2x2 到 1000000x1000000 之间变化。

Answer 1

我可能会推荐 pushing 在循环中将新数组放入数组中：

WEIGHTS_1 := []
rows := 5
columns := 7
Loop, % rows
{
    row := []
    Loop, % columns
    {
        Random, weight, -1.0, 1.0
        row.push(weight)
    }
    WEIGHTS_1.push(row)
}

示例输出：

[[-0.678368,  -0.768605,  -0.274922,   0.049760,  -0.133968,  -0.876030,  -0.235799]
,[-0.296078,   0.359816,  -0.461632,   0.788800,  -0.707147,  -0.200223,  -0.473914]
,[0.474090,    0.085090,   0.458321,  -0.820574,   0.145089,   0.193249,   0.990545]
,[0.205461,    0.901953,  -0.137901,   0.279726,   0.562361,  -0.019861,  -0.887540]
,[0.504811,   -0.876628,  -0.127397,   0.156817,   0.873983,   0.859992,  -0.879222]]