jwood803/mlnetexamples

A collection of examples for the ML.NET machine learning package from Microsoft

ML.NET Examples

A collection of examples for ML.NET.

mlnetexamples's Issues

EntityFrameworkData Project - System.FormatException: „Input string was not in a correct format.”

If i run EntityFrameworkData Project i got error:
System.FormatException: „Input string was not in a correct format.”

in line:

var data = File.ReadAllLines(filePath) .Skip(1) .Select(l => l.Split(',')) .Select(i => new SalaryData { YearsExperience = float.Parse(i[0]), Salary = float.Parse(i[1]) });

and more specifically:
.Select(i => new SalaryData { YearsExperience = float.Parse(i[0]), Salary = float.Parse(i[1]) })

[TimeSeriesForecast] holiday detection and weekend?

Hello, thank you

I want to ask that in the function "Forecasting.ForecastBySsa" it is possible to add holiday and weekend conditions so the algorithm becomes more accurate.

deeplearning classification

ForecastBySsa - Is there a way to add multiple columns

Hi Jon,

Thank you, your videos have been very helpful.

I was hoping to do time series predictions based on multiple columns of data, but ForecastBySsa only allows 1 column to be inputted. Is there a multi column variant?

Thanks

a bug come from DeepNeuralNetword

I tested it with a collection of my own pictures，but throw a bug:
System.FormatException:“Tensorflow exception triggered while loading model.”
InvalidProtocolBufferException: While parsing a protocol message, the input ended unexpectedly in the middle of a field. This could mean either that the input has been truncated or that an embedded message misreported its own length.

from:
var pipeline = context.Transforms.Conversion.MapValueToKey("LabelKey", "Label", keyOrdinality: Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue)
.Append(context.Model.ImageClassification(
"ImagePath",
"LabelKey",
arch: Microsoft.ML.Transforms.ImageClassificationEstimator.Architecture.ResnetV2101,
epoch: 100,
batchSize: 10,
metricsCallback: Console.WriteLine,
validationSet: validationData));

I don't know why. help me,please,thank you

Error while runing project transfer learning

System.FormatException
HResult=0x80131537
Message=Tensorflow exception triggered while loading model.
Source=Microsoft.ML.TensorFlow
StackTrace:
at Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
at Microsoft.ML.TensorflowCatalog.LoadTensorFlowModel(ModelOperationsCatalog catalog, String modelLocation)
at TransferLearning.Program.Main(String[] args) in X:\MLProject\MLNetExamples\TransferLearning\Program.cs:line 18

Inner Exception 1:
DllNotFoundException: Unable to load DLL 'tensorflow' or one of its dependencies: The specified module could not be found. (Exception from HRESULT: 0x8007007E)

How can I make the Book recommendation sample work with ML.Net 2.0?

I tried to fix it myself but I had to give up.

Whats the new syntax for

var pipeline = mlContext.Transforms.Categorical.MapValueToKey("user", "userIdEncode");

with ML.Net 2.0? It looks like that Categorial has no MapValueToKey method.

ML.DNN to ML.VISION

since the microsoft.ml.dnn is not longer exits, i change my pipeline as below using microsoft.ml.vision

it shows error at the "ImagePath"

What should I do for this?

ML.Net Upgrade

Microsoft has lately upgrade ML.Net and the program doesn´t work any more with the new libraries. Would you have a chance to adjust the program to the new release?

BagOfWords

I got 7 errors from building the code.

System.ArgumentOutOfRangeException: 'Image column 'Feature' not found '

I made a few changes to fix that "expected VarVector got String" bug, but I got this exception

and I have no idea what it means.
Thank you for your answer.

object detection

Hello @jwood803
please make object detection with
custom vision model exported for
winform c#
For multiple object in one Frame

CustomVisionOnnx won't work properly after upgrading to ML. NET 2.0

I can confirm that the problem is with the nuget package Microsoft.ML.ImageAnalytics
Due to some changes in its dependency during the process from 1. x to 2.0, it no longer relies on System.Drawing.Common

The following code snippet shows the key errors：

public class WineInput {// C# Input Mapping
        [ImageType(ImageSettings.imageWidth, ImageSettings.imageHeight)]
        public Bitmap Image { get; set; }
    }
    public struct ImageSettings {
        public const int imageHeight = 416;
        public const int imageWidth = 416;
    }

MLContext context = new MLContext();
            var emptyData = new List<WineInput>();
            var data = context.Data.LoadFromEnumerable(emptyData);// Error!

How should I modify the code to use Microsoft.ML.ImageAnalytics 2.0

Thank you very much for the video posted on Youtube and learning a lot~I hope you can help me solve this problem
😁