Commit 81cae9a
1.5 mlnet update (#839)
* update ml.net versions
* update proj to .net core 3.1
* shorten ccfraud project / file name
Fixes Error MSB3491
* update image classification training solution to .net core 3
* update ranking sample to .net core 3.1
* Update BikeDemandForecasting.csproj
* update to .net core 3.1 to fix errors
* Update samples/csharp/getting-started/DeepLearning_ImageClassification_Training/ImageClassification.Train/assets/inputs/images/flower_photos_small_set/LICENSE.txt
Co-authored-by: Justin Ormont <[email protected]>
* Update samples/csharp/getting-started/DeepLearning_ImageClassification_Training/ImageClassification.Train/assets/inputs/images/flower_photos_small_set/LICENSE.txt
Co-authored-by: Justin Ormont <[email protected]>
* fix fsharp mnist project
* fix automl taxi fare fsharp project
* fix fsharp shampoo sales anomaly detection project
* fix fsharp power anomaly detection project
* Create PowerAnomalyDetection.sln
* Update project name so web app will build
* fix model explainability project
* fix e2e matrix factorization by updating to .net core 3.1
* update scalable web api to 3.1
* update scalable web api integration to 3.1
* Update Startup.cs
* Shorten length of project name to fix blazor app
* add scisharp package for image classification model consumption
* Create ImageClassification.Score.sln
* Update samples to 1.5 (#841)
* Updated and debuggined ONNX F# sample
* Updates to DL TF Estimator
* Updated OnnxObjectDetectionE2E
* Updated AutoML samples
* Fixed bugs in web app when upgraded to 3.1
* Updated version packages for DL binary
* Updated to net core 3.1
* Fixed bugs in upgrade to 3.1
* Updated READMES
* Delete imageClassifier.zip
Co-authored-by: Justin Ormont <[email protected]>
Co-authored-by: Luis Quintanilla <[email protected]>1 parent 5308cda commit 81cae9a
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378 files changed
+4024
-293
lines changed- samples
- .ionide
- csharp
- end-to-end-apps
- AnomalyDetection-Sales/SpikeDetectionE2EApp/SpikeDetection.ModelTrainer
- DeepLearning_ImageClassification_TF
- TFImageClassification
- Controllers
- ImageHelpers
- ML
- DataModels
- TensorFlowModel
- Pages
- TestImages
- wwwroot
- css
- js
- lib
- bootstrap
- dist
- css
- js
- jquery-validation-unobtrusive
- jquery-validation
- dist
- jquery
- dist
- docs
- DeepLearning_ImageClassification_TensorFlow/TensorFlowImageClassification/Pages
- Model-Explainability/TaxiFarePrediction.Test
- ObjectDetection-Onnx
- OnnxObjectDetectionApp
- OnnxObjectDetectionWeb
- ImagesTemp
- Recommendation-MovieRecommender/MovieRecommender/movierecommender
- ScalableMLModelOnWebAPI-Custom/src/Scalable.WebAPI
- Controllers
- ScalableMLModelOnWebAPI-IntegrationPkg/src/Scalable.WebAPI
- ScalableSentimentAnalysisBlazorWebApp
- BlazorSentiment.Client
- Pages
- wwwroot
- css
- bootstrap
- open-iconic
- font
- css
- fonts
- BlazorSentiment.Server
- Controllers
- ML
- DataModels
- getting-started
- BinaryClassification_CreditCardFraudDetection
- CCFraudDetection.Common
- DataModels
- CCFraudDetection.Predictor
- assets
- input
- output
- CCFraudDetection.Trainer
- assets
- input
- output
- DeepLearning_ImageClassification_Binary
- DeepLearning_ImageClassification
- assets
- workspace
- DeepLearning_ImageClassification_TensorFlow
- ImageClassification/ModelScorer
- DeepLearning_ImageClassification_Training
- ImageClassification.Predict
- ImageClassification.Train
- assets/inputs
- images
- flower_photos_small_set
- daisy
- dandelion
- roses
- sunflowers
- tulips
- test-images
- WebApp.Predict
- Controllers
- ML/DataModels
- Forecasting_BikeSharingDemand/BikeDemandForecasting
- MulticlassClassification_AutoML/MNIST
- Ranking_Web/WebRanking
- Regression_AutoML/TaxiFarePrediction
- MLModels
- fsharp/getting-started
- AdvancedExperiment_AutoML
- AdvancedTaxiFarePrediction
- MLModels
- DeepLearning_ImageClassification_TensorFlow/ImageClassification
- DeepLearning_ObjectDetection_Onnx
- ObjectDetectionConsoleApp
- DeepLearning_TensorFlowEstimator
- ImageClassification.Predict
- assets/inputs
- ImageClassification.Train
- assets/outputs
- MulticlassClassification_AutoML
- MNIST
- Regression_AutoML
- TaxiFarePrediction
- MLModels
- SpikeDetection_ShampooSales/ShampooSales/ShampooSalesConsoleApp
- TimeSeries_PowerAnomalyDetection/PowerAnomalyDetection
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