TextCatalog.NormalizeText Metoda

Definice

Obor názvů:

Microsoft.ML

Sestavení:

Microsoft.ML.Transforms.dll

Balíček:

Microsoft.ML v2.0.0

TextNormalizingEstimatorVytvoří , který normalizuje příchozí text inputColumnName pomocí volitelné změny velikosti písmen, odebrání diacritických značek, interpunkčních znamének, čísel a výstupů nového textu jako outputColumnName.

public static Microsoft.ML.Transforms.Text.TextNormalizingEstimator NormalizeText (this Microsoft.ML.TransformsCatalog.TextTransforms catalog, string outputColumnName, string inputColumnName = default, Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode caseMode = Microsoft.ML.Transforms.Text.TextNormalizingEstimator+CaseMode.Lower, bool keepDiacritics = false, bool keepPunctuations = true, bool keepNumbers = true);

static member NormalizeText : Microsoft.ML.TransformsCatalog.TextTransforms * string * string * Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode * bool * bool * bool -> Microsoft.ML.Transforms.Text.TextNormalizingEstimator

<Extension()>
Public Function NormalizeText (catalog As TransformsCatalog.TextTransforms, outputColumnName As String, Optional inputColumnName As String = Nothing, Optional caseMode As TextNormalizingEstimator.CaseMode = Microsoft.ML.Transforms.Text.TextNormalizingEstimator+CaseMode.Lower, Optional keepDiacritics As Boolean = false, Optional keepPunctuations As Boolean = true, Optional keepNumbers As Boolean = true) As TextNormalizingEstimator

Parametry

catalog

TransformsCatalog.TextTransforms

Katalog transformace související s textem

outputColumnName

String

Název sloupce, který je výsledkem transformace inputColumnName. Datový typ tohoto sloupce je skalární nebo vektor textu v závislosti na datovém typu vstupního sloupce.

inputColumnName

String

Název sloupce, který se má transformovat. Pokud je nastavená hodnota null, použije se jako zdroj hodnota outputColumnName . Tento estimátor pracuje s textem nebo vektorem datových typů textu.

caseMode

TextNormalizingEstimator.CaseMode

Velikost textu pomocí pravidel invariantní jazykové verze

keepDiacritics

Boolean

Jestli chcete zachovat diakritické značky, nebo je odebrat.

keepPunctuations

Boolean

Jestli chcete zachovat interpunkční znaménka nebo je odebrat.

keepNumbers

Boolean

Jestli chcete zachovat čísla, nebo je odebrat.

Návraty

TextNormalizingEstimator

Příklady

using System;
using System.Collections.Generic;
using Microsoft.ML;
using Microsoft.ML.Transforms.Text;

namespace Samples.Dynamic
{
    public static class NormalizeText
    {
        public static void Example()
        {
            // Create a new ML context, for ML.NET operations. It can be used for
            // exception tracking and logging, as well as the source of randomness.
            var mlContext = new MLContext();

            // Create an empty list as the dataset. The 'NormalizeText' API does not
            // require training data as the estimator ('TextNormalizingEstimator')
            // created by 'NormalizeText' API is not a trainable estimator. The
            // empty list is only needed to pass input schema to the pipeline.
            var emptySamples = new List<TextData>();

            // Convert sample list to an empty IDataView.
            var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

            // A pipeline for normalizing text.
            var normTextPipeline = mlContext.Transforms.Text.NormalizeText(
                "NormalizedText", "Text", TextNormalizingEstimator.CaseMode.Lower,
                keepDiacritics: false,
                keepPunctuations: false,
                keepNumbers: false);

            // Fit to data.
            var normTextTransformer = normTextPipeline.Fit(emptyDataView);

            // Create the prediction engine to get the normalized text from the
            // input text/string.
            var predictionEngine = mlContext.Model.CreatePredictionEngine<TextData,
                TransformedTextData>(normTextTransformer);

            // Call the prediction API.
            var data = new TextData()
            {
                Text = "ML.NET's NormalizeText API " +
                "changes the case of the TEXT and removes/keeps diâcrîtîcs, " +
                "punctuations, and/or numbers (123)."
            };

            var prediction = predictionEngine.Predict(data);

            // Print the normalized text.
            Console.WriteLine($"Normalized Text: {prediction.NormalizedText}");

            //  Expected output:
            //   Normalized Text: mlnets normalizetext api changes the case of the text and removeskeeps diacritics punctuations andor numbers
        }

        private class TextData
        {
            public string Text { get; set; }
        }

        private class TransformedTextData : TextData
        {
            public string NormalizedText { get; set; }
        }
    }
}