BinaryLoaderSaverCatalog.LoadFromBinary Methode

Definition

Namespace:

Microsoft.ML

Assembly:

Microsoft.ML.Data.dll

Paket:

Microsoft.ML v3.0.1

Überlädt

LoadFromBinary(DataOperationsCatalog, IMultiStreamSource)	Laden Sie eine IDataView Datei aus einer IMultiStreamSource Binärdatei. Beachten Sie, dass IDataView's lazy ist, daher tritt hier kein tatsächliches Laden auf, nur die Schemaüberprüfung.
LoadFromBinary(DataOperationsCatalog, String)	Laden sie aus IDataView einer Binärdatei. Beachten Sie, dass IDataView's lazy ist, daher tritt hier kein tatsächliches Laden auf, nur die Schemaüberprüfung.

LoadFromBinary(DataOperationsCatalog, IMultiStreamSource)

Laden Sie eine IDataView Datei aus einer IMultiStreamSource Binärdatei. Beachten Sie, dass IDataView's lazy ist, daher tritt hier kein tatsächliches Laden auf, nur die Schemaüberprüfung.

public static Microsoft.ML.IDataView LoadFromBinary (this Microsoft.ML.DataOperationsCatalog catalog, Microsoft.ML.Data.IMultiStreamSource fileSource);

static member LoadFromBinary : Microsoft.ML.DataOperationsCatalog * Microsoft.ML.Data.IMultiStreamSource -> Microsoft.ML.IDataView

<Extension()>
Public Function LoadFromBinary (catalog As DataOperationsCatalog, fileSource As IMultiStreamSource) As IDataView

Parameter

catalog

DataOperationsCatalog

Der Katalog.

fileSource

IMultiStreamSource

Die zu ladende Dateiquelle. Dies kann z. B. ein MultiFileSource.

Gibt zurück

IDataView

LoadFromBinary(DataOperationsCatalog, String)

Laden sie aus IDataView einer Binärdatei. Beachten Sie, dass IDataView's lazy ist, daher tritt hier kein tatsächliches Laden auf, nur die Schemaüberprüfung.

public static Microsoft.ML.IDataView LoadFromBinary (this Microsoft.ML.DataOperationsCatalog catalog, string path);

static member LoadFromBinary : Microsoft.ML.DataOperationsCatalog * string -> Microsoft.ML.IDataView

<Extension()>
Public Function LoadFromBinary (catalog As DataOperationsCatalog, path As String) As IDataView

Parameter

catalog

DataOperationsCatalog

Der Katalog.

path

String

Der Pfad zur Datei, aus der geladen werden soll.

Gibt zurück

IDataView

Beispiele

using System;
using System.Collections.Generic;
using System.IO;
using Microsoft.ML;

namespace Samples.Dynamic
{
    public static class SaveAndLoadFromBinary
    {
        public static void Example()
        {
            // Create a new context for ML.NET operations. It can be used for
            // exception tracking and logging, as a catalog of available operations
            // and as the source of randomness. Setting the seed to a fixed number
            // in this example to make outputs deterministic.
            var mlContext = new MLContext(seed: 0);

            // Create a list of training data points.
            var dataPoints = new List<DataPoint>()
            {
                new DataPoint(){ Label = 0, Features = 4},
                new DataPoint(){ Label = 0, Features = 5},
                new DataPoint(){ Label = 0, Features = 6},
                new DataPoint(){ Label = 1, Features = 8},
                new DataPoint(){ Label = 1, Features = 9},
            };

            // Convert the list of data points to an IDataView object, which is
            // consumable by ML.NET API.
            IDataView data = mlContext.Data.LoadFromEnumerable(dataPoints);

            // Create a FileStream object and write the IDataView to it as a binary
            // IDV file. 
            using (FileStream stream = new FileStream("data.idv", FileMode.Create))
                mlContext.Data.SaveAsBinary(data, stream);

            // Create an IDataView object by loading the binary IDV file.
            IDataView loadedData = mlContext.Data.LoadFromBinary("data.idv");

            // Inspect the data that is loaded from the previously saved binary file
            var loadedDataEnumerable = mlContext.Data
                .CreateEnumerable<DataPoint>(loadedData, reuseRowObject: false);

            foreach (DataPoint row in loadedDataEnumerable)
                Console.WriteLine($"{row.Label}, {row.Features}");

            // Preview of the loaded data.
            // 0, 4
            // 0, 5
            // 0, 6
            // 1, 8
            // 1, 9
        }

        // Example with label and feature values. A data set is a collection of such
        // examples.
        private class DataPoint
        {
            public float Label { get; set; }

            public float Features { get; set; }
        }
    }
}