PcaCatalog.ProjectToPrincipalComponents Metode

Definisi

Ruang nama:

Microsoft.ML

Rakitan:

Microsoft.ML.PCA.dll

Paket:

Microsoft.ML v3.0.1

Menginisialisasi instans baru .PrincipalComponentAnalyzer

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

Parameter

catalog

TransformsCatalog

Katalog transformasi.

outputColumnName

String

Nama kolom yang dihasilkan dari transformasi inputColumnName.

inputColumnName

String

Nama kolom yang akan diubah. Jika diatur ke null, nilai outputColumnName akan digunakan sebagai sumber.

exampleWeightColumnName

String

Nama kolom bobot contoh (opsional).

rank

Int32

Jumlah komponen utama.

overSampling

Int32

Parameter oversampling untuk pelatihan PrincipalComponentAnalysis acak.

ensureZeroMean

Boolean

Jika diaktifkan, data dipusatkan menjadi rata-rata nol.

seed

Nullable<Int32>

Benih untuk pembuatan angka acak.

Mengembalikan

PrincipalComponentAnalyzer