ML.NET中的“得分列”不见了 [英] ML.NET, "Score Column" is missing
问题描述
我想在ML.NET中制作我的第一个应用程序。我打赌威斯康星州预后的乳腺癌数据集。我自己生成.csv文件。该文件的一条记录如下所示：
I want to make my first app in ML.NET. I bet on Wisconsin Prognostic Breast Cancer Dataset. I generete .csv file by myself. One record of that file looks like this:
B;11.62;18.18;76.38;408.8;0.1175;0.1483;0.102;0.05564;0.1957;0.07255;0.4101;1.74;3.027;27.85;0.01459;0.03206;0.04961;0.01841;0.01807;0.005217;13.36;25.4;88.14;528.1;0.178;0.2878;0.3186;0.1416;0.266;0.0927
它获得31个不同的特征（列）。
And it get 31 diffrent features (columns).
我的 CancerData.cs 看起来像这样：
My CancerData.cs looks like this:
class CancerData
{
[Column(ordinal: "0")]
public string Diagnosis;
[Column(ordinal: "1")]
public float RadiusMean;
[Column(ordinal: "2")]
public float TextureMean;
[Column(ordinal: "3")]
public float PerimeterMean;
//.........
[Column(ordinal: "28")]
public float ConcavPointsWorst;
[Column(ordinal: "29")]
public float SymmetryWorst;
[Column(ordinal: "30")]
public float FractalDimensionWorst;
[Column(ordinal: "31", name: "Label")]
public string Label;
}
和 CancerPrediction.cs
And CancerPrediction.cs
class CancerPrediction
{
[ColumnName("PredictedLabel")]
public string Diagnosis;
}
我的 程序。 cs ：
My Program.cs :
class Program
{
static void Main(string[] args)
{
PredictionModel<CancerData, CancerPrediction> model = Train();
Evaluate(model);
}
public static PredictionModel<CancerData, CancerPrediction> Train()
{
var pipeline = new LearningPipeline();
pipeline.Add(new TextLoader("Cancer-train.csv").CreateFrom<CancerData>(useHeader: true, separator: ';'));
pipeline.Add(new Dictionarizer(("Diagnosis", "Label")));
pipeline.Add(new ColumnConcatenator(outputColumn: "Features",
"RadiusMean",
"TextureMean",
"PerimeterMean",
//... all of the features
"FractalDimensionWorst"));
pipeline.Add(new StochasticDualCoordinateAscentBinaryClassifier());
pipeline.Add(new PredictedLabelColumnOriginalValueConverter() { PredictedLabelColumn = "PredictedLabel" });
PredictionModel<CancerData, CancerPrediction> model = pipeline.Train<CancerData, CancerPrediction>();
model.WriteAsync(modelPath);
return model;
}
public static void Evaluate(PredictionModel<CancerData, CancerPrediction> model)
{
var testData = new TextLoader("Cancer-test.csv").CreateFrom<CancerData>(useHeader: true, separator: ';');
var evaluator = new ClassificationEvaluator();
ClassificationMetrics metrics = evaluator.Evaluate(model, testData);
var accuracy = Math.Round(metrics.AccuracyMicro, 2);
Console.WriteLine("The accuracy is: " + accuracy);
Console.ReadLine();
}
}
我得到的是：
ArgumentOutOfRangeException：缺少分数列
ArgumentOutOfRangeException: Score column is missing
在 ClassificationMetrics指标= evaluator.Evaluate（model，testData）; 方法。
当我在 CancerPrediction 中添加分数列时，我仍然得到相同的异常。
When i add Score Column in CancerPrediction, i still get the same exception.
我看到有人在 StackOverflow ，但是它似乎没有答案，我无法对此发表评论，因为我没有足够的声誉。是虫子吗？也许我的数据准备不正确？我在 ver中使用 ML.NET 。 0.5.0
I saw that someone have the same problem on StackOverflow but it looks like it is without answer and i cant make a comment on it because i dont have enough reputation. Is it a bug? maybe my data is not prepared properly? Im using ML.NET in ver. 0.5.0
感谢任何建议！
编辑1：
当我添加到 CancerPrediction.cs 时，该行：
class CancerPrediction
{
[ColumnName("PredictedLabel")]
public string PredictedDiagnosis;
[ColumnName("Score")]
public string Score; // => new column!
}
我有一个例外：
System.InvalidOperationException：'无法将'R4'类型的IDataView列'Score'绑定到'System.String'类型的字段或属性'Score'。'
System.InvalidOperationException: 'Can't bind the IDataView column 'Score' of type 'R4' to field or property 'Score' of type 'System.String'.'
在行中：
PredictionModel<CancerData, CancerPrediction> model = pipeline.Train<CancerData, CancerPrediction>();
EDIT2
外观：
< img src = https://i.stack.imgur.com/SB76X.png alt =在此处输入图片描述>
EDIT3
将分隔符更改为'，'并加载我不喜欢的原始数据集，但它仍然大喊大叫，因为没有得分，所以令人讨厌
Change Separator to ',' and load original dataset not prepered by me it still yelling, taht there is no Score, so annoying
推荐答案
我相信我知道问题出在哪里。
I believe I know what the problem is.
您正在使用 StochasticDualCoordinateAscentBinaryClassifier ，它是一个二进制分类器。
You are using a StochasticDualCoordinateAscentBinaryClassifier, which is a binary classifier.
您正尝试使用 ClassificationEvaluator 评估结果，ClassificationEvaluator 是多类分类评估器。
You are trying to evaluate results using ClassificationEvaluator, which is a multiclass classification evaluator.
我建议您使用 BinaryClassificationEvaluator 来评估二进制分类器模型。
I suggest you use BinaryClassificationEvaluator to evaluate binary classifier models.
确切的问题如下：评估者希望得分列是包含每个类得分的向量列。它找到的是分数列，它是一个标量（仅是肯定类的分数）。
The exact problem is follows: the evaluator expects the column 'Score' to be a vector column that contains a score for every class. What it finds is the 'Score' column which is a scalar (just the score of the positive class).
因此它抛出了一些令人费解的消息
So it throws with somewhat convoluted message
得分列丢失
Score column is missing
这篇关于ML.NET中的“得分列”不见了的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
![< img src = https://i.stack.imgur.com/SB76X.png alt =在此处输入图片描述>](\"https://i.stack.imgur.com/SB76X.png\"){kind=link}