A training dataset that stored in XML file.
DataSet
00 Remarks
一般只需要生成这个数据对象, 之后就可以直接使用这个对象来进行统一的训练代码调用即可
01 Syntax
Microsoft.VisualBasic.MachineLearning.ComponentModel.StoreProcedure.DataSet
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| PopulateNormalizedSamples | 1 | Populates all of the normalized training dataset from current matrix data object. |
03 Properties
| Name | Overloads | Summary |
|---|---|---|
| DataSamples | 1 | the training data samples |
| NormalizeMatrix | 1 | 主要是对Sample.label输入向量进行[0, 1]区间内的归一化操作 |
| output | 1 | The element names of output vector |
| Size | 1 | 样本的矩阵大小:[属性长度, 样本数量] |
| OutputSize | 1 | 神经网络的输出节点的数量 |
| width | 1 |
04 Members
PopulateNormalizedSamples(
Methods, Int32)Populates all of the normalized training dataset from current matrix data object.
Parameters
| Name | Type | Description |
|---|---|---|
dummyExtends | Methods | This function will extends Sample.target when this parameter is greater than ZERO. |
DataSamples
the training data samples
NormalizeMatrix
主要是对Sample.label输入向量进行[0, 1]区间内的归一化操作
output
The element names of output vector
Size
样本的矩阵大小:[属性长度, 样本数量]
OutputSize
神经网络的输出节点的数量
width