PcaCatalog.ProjectToPrincipalComponents 方法
定义
重要
一些信息与预发行产品相关,相应产品在发行之前可能会进行重大修改。 对于此处提供的信息,Microsoft 不作任何明示或暗示的担保。
初始化 PrincipalComponentAnalyzer 的新实例。
public static Microsoft.ML.Transforms.PrincipalComponentAnalyzer ProjectToPrincipalComponents (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName = default, string exampleWeightColumnName = default, int rank = 20, int overSampling = 20, bool ensureZeroMean = true, int? seed = default);
static member ProjectToPrincipalComponents : Microsoft.ML.TransformsCatalog * string * string * string * int * int * bool * Nullable<int> -> Microsoft.ML.Transforms.PrincipalComponentAnalyzer
<Extension()>
Public Function ProjectToPrincipalComponents (catalog As TransformsCatalog, outputColumnName As String, Optional inputColumnName As String = Nothing, Optional exampleWeightColumnName As String = Nothing, Optional rank As Integer = 20, Optional overSampling As Integer = 20, Optional ensureZeroMean As Boolean = true, Optional seed As Nullable(Of Integer) = Nothing) As PrincipalComponentAnalyzer
参数
- catalog
- TransformsCatalog
转换的目录。
- outputColumnName
- String
由转换 inputColumnName
生成的列的名称。
- inputColumnName
- String
要转换的列的名称。 If set to null
, the value of the outputColumnName
will be used as source.
- exampleWeightColumnName
- String
示例权重列的名称 (可选) 。
- rank
- Int32
主体组件数。
- overSampling
- Int32
随机 PrincipalComponentAnalysis 训练的过度采样参数。
- ensureZeroMean
- Boolean
如果启用,则数据居中为零平均值。