ML.NET - 动态构建管道链 [英] ML.NET - Dynamically build pipeline chain

问题描述

使用从？

问候，

宇通

Using code taken from this example.

This code works:

var pipeline = mlContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "FareAmount")
            .Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "VendorIdEncoded", inputColumnName: "VendorId"))
            .Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "RateCodeEncoded", inputColumnName: "RateCode"))
            .Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "PaymentTypeEncoded", inputColumnName: "PaymentType"))
            .Append(mlContext.Transforms.Concatenate("Features", "VendorIdEncoded", "RateCodeEncoded", "PassengerCount", "TripTime", "TripDistance", "PaymentTypeEncoded"))
            .Append(mlContext.Regression.Trainers.FastTree());

But I would like to Append dynamically at runtime like so:

var pipeline = mlContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "FareAmount");
pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "VendorIdEncoded", inputColumnName: "VendorId"));
pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "RateCodeEncoded", inputColumnName: "RateCode"));
pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "PaymentTypeEncoded", inputColumnName: "PaymentType"));
pipeline.Append(mlContext.Transforms.Concatenate("Features", "VendorIdEncoded", "RateCodeEncoded", "PassengerCount", "TripTime", "TripDistance", "PaymentTypeEncoded"));
pipeline.Append(mlContext.Regression.Trainers.FastTree());

None of the commands after the first have an effect. How can I dynamically chain Appends?

When trying:

var pipeline = mlContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "FareAmount");
pipeline = pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "VendorIdEncoded", inputColumnName: "VendorId"));
pipeline = pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "RateCodeEncoded", inputColumnName: "RateCode"));
pipeline = pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "PaymentTypeEncoded", inputColumnName: "PaymentType"));
pipeline = pipeline.Append(mlContext.Transforms.Concatenate("Features", "VendorIdEncoded", "RateCodeEncoded", "PassengerCount", "TripTime", "TripDistance", "PaymentTypeEncoded"));
pipeline = pipeline.Append(mlContext.Regression.Trainers.FastTree());

I get "Cannot implicitly convert type 'Microsoft.ML.Data.EstimatorChain' to 'Microsoft.ML.Transforms.ColumnCopyingEstimator'" errors I also tried

var pipeline = mlContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "FareAmount");
var pipeline2 = pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "VendorIdEncoded", inputColumnName: "VendorId"));
pipeline2 = pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "RateCodeEncoded", inputColumnName: "RateCode"));
pipeline2 = pipeline.Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "PaymentTypeEncoded", inputColumnName: "PaymentType"));
var pipeline3 = pipeline2.Append(mlContext.Transforms.Concatenate("Features", "VendorIdEncoded", "RateCodeEncoded", "PassengerCount", "TripTime", "TripDistance", "PaymentTypeEncoded"));
var pipeline4 = pipeline3.Append(mlContext.Regression.Trainers.FastTree());

var model = pipeline4.Fit(dataView);

But then on the last line I get an "System.ArgumentOutOfRangeException: 'Could not find input column 'VendorIdEncoded'
Parameter name: inputSchema'" error

Any help would appreciated

解决方案

Hi,

Sorry, here is not the right place for ML.NET question. But I think following document should be helpful. https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/taxi-fare 

For more help about your question, could you please post it HERE?

Regards,

Yutong

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