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This repository was archived by the owner on Jan 12, 2024. It is now read-only.
Describe the bug
Expanded dataset. 14 Training data inputs,14 Validation data inputs. Each data point has 29 features:
[
65389,
80,
420,
3,
etc, etc up to 28 items
],
Running with data like this throws:
"Unhandled exception. System.OverflowException: Arithmetic operation resulted in an overflow. at System.Convert.ToInt64(Double value)"
Error bubbles up from
To Reproduce
Steps to reproduce the behavior:
Follow instructions on Github to run via 'dotnet run'. Please note the only version I could get installed was: Microsoft.Quantum.MachineLearning --version 0.23.195983
Expected behavior
Program to run despit increase number of features.
Screenshots
If applicable, add screenshots to help explain your problem.
System information
OS: Windows 10.0.19043
.NET 5.0.202
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered:
Thanks for your report, @vanderryan! It looks like this may be an issue with the QML library, so transferring to the quantumlibraries repo where that can be properly triaged. Thank you!
Describe the bug
Expanded dataset. 14 Training data inputs,14 Validation data inputs. Each data point has 29 features:
[
65389,
80,
420,
3,
etc, etc up to 28 items
],
Running with data like this throws:
"Unhandled exception. System.OverflowException: Arithmetic operation resulted in an overflow. at System.Convert.ToInt64(Double value)"
Error bubbles up from
let (optimizedModel, nMisses) = TrainSequentialClassifier(
Mapped(
SequentialModel(ClassifierStructure(), _, 0.0),
initialParameters
),
To Reproduce
Steps to reproduce the behavior:
Follow instructions on Github to run via 'dotnet run'. Please note the only version I could get installed was: Microsoft.Quantum.MachineLearning --version 0.23.195983
Expected behavior
Program to run despit increase number of features.
Screenshots
If applicable, add screenshots to help explain your problem.
System information
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered: