[英]Automapper error: System.InvalidOperationException: 'Missing map from System.String to System.Char
[英]System.InvalidOperationException: 'All instances skipped due to missing features.' Is the error coming from the dataset or the code?
我正在尝试为学校问题学习 ML.Net 和 C#,试图找到类似的问题,但没有一个解决了我的问题。
我该如何解决这个问题?
错误来自数据集还是代码?
class ML_BankModel
{
static readonly string _dataPath = Path.Combine(Environment.CurrentDirectory, "BankDataSet", "Churn_Modelling.csv");
static readonly string _modelPath = Path.Combine(Environment.CurrentDirectory, "BankDataSet", "Churn_Modelling.csv");
static void Main(string[] args)
{
var mlContext = new MLContext();
var trainData = mlContext.Data.LoadFromTextFile<AccountBankModel>(path: _dataPath,
separatorChar: ',',
hasHeader: true
);
var estimator = mlContext.Transforms.Conversion.ConvertType(outputColumnName: "Label", inputColumnName: "Target", DataKind.Boolean)
.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "GeographyEncoded", inputColumnName: "Geography"))
.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "GenderEncoded", inputColumnName: "Gender"))
.Append(mlContext.BinaryClassification.Trainers.FastTree())
.Append(mlContext.Transforms.Conversion.ConvertType(outputColumnName: "PredictedLabel", inputColumnName: "Label", DataKind.Boolean));
var dataPreview = trainData.Preview();
var transformationPreview = estimator.Preview(trainData);
}
class AccountBankModel
{
[LoadColumn(2)]
public int CustomerId { get; set; }
[LoadColumn(4)]
public float CreditScore { get; set; }
[LoadColumn(5)]
public string Geography { get; set; }
[LoadColumn(6)]
public string Gender { get; set; }
[LoadColumn(7, 12), ColumnName("Features")]
public float FeatureVector { get; set; }
[LoadColumn(13)]
public float Target { get; set; }
}
问题是数据集,在进行更改并保存后一切正常。 更改是将“退出”更改为其他内容,然后再次将其恢复为“退出”。
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