* DatabaseLoader sample - Baseline
* DatabaseLoader working against localdb attached from DB path file.
* Removed unneeded-old project file
* Added tbd README.md file
* Removed internal Nuget feeds from the nuget.config
* Added a shorter name for the localdb database instead of based on the file path
* Added Retries logic policy to the Connection String when using Azure SQL Database
* Simplified so it doesnt use the ProviderFactory code but simple an SqlClientFactory.Instance
* Updated to public Previews
* Removed unneeded CsvParser reference
* Comments update doe conn-strings
* Added README.MD for DatabaseLoader and related
* Added new sample, update titles readme
Added Razor pages sample to main readme, updated titles for greater consistency
* Changed order on main readme
* Update icon for power sample
Spike detection better-suited to represent it
* Make titles more consistent
* Update icon for fraud detection
Previous logo looked security-related
* Change readme title wording
Forecasting is the task, regression and time series are the two options within it
* Upload icons for new samples
Model explainability and Azure functions
* Smaller Azure logo
* Even smaller Azure logo
* Smaller Azure logo
* Smaller version attempt
* Smaller logo
* Much smaller attempt
* Middle-ground size
* Experiment logo size
* 40% of original size
* Remove old logo (wrong size)
* Remove another too large logo
* Remove final too large logo
* Remove too-small icon
* Add Azure functions example to table
* Slightly smaller Azure logo
* Even slightly smaller Azure logo
* Use better-sized Azure functions logo
* Delete too large logo
* Delete too large logo again
* Attempt smaller model explain logo
* Add model explainability to main readme
* Remove too-large model explain icon
* Cleanup Azure functions readme
Make titles more concise, fix typos, cleanup explanation, change some formatting
* Model Explain readme cleanup
Fix some wording, layouts, titles
* Move model explain sample to cross-cutting
* Label 2 credit card fraud detection samples
Label binary classification vs Anomaly Detection
* Update main readme after time series merge
-Add row for time series forecasting, change order of readme to make more sense, update link for regression forecasting
* Remove unnecessary projects, cleanup old folders
* Update labels for forecasting examples
* Remove link
Only having link for regression and not time series appears inconsistent
* Added credit card anomaly detection to readme
* Delineate between movie recommend apps
* Updated to binary from two-class
* Update from two-class to binary
* Update to binary
* Update to binary
* Clean up readme
Make title shorter/more consistent with other readme titles, change from two-class to binary
* Cleanup readme
Shorten title, change from two-class to binary
* Remove unnecessary API paragraph
* Remove API paragraph
* Correct scenario vs task vs algorithm
* Correct scenario vs task vs algorithm
* Update names in readme
Match them to names of people in the app
* Link to AnomalyDetection_CreditCardFraudDetection
* Update title
Delineate this sample from AnomalyDetection_CreditCardFraudDetection
* Cleanup readme
Link to binary classification fraud example, shorten title
* Changed anomaly detection label
Should be area under ROC curve, not just area under curve
* Update code in readme
Match changes made to actual code in sample
* Improve code formatting
* Update testing title
* Update algorithm mentioned in readme
* Added ranking row to readme
* Upload ranking icon
* Added ranking icon to readme
* Changed order of readme table
Want to leave computer vision as last row
* Upload darker version of E2E app icon
* Upload smaller & darker e2e icon
* Delete unnecessary icon
Icon is too large
* New icons for getting started and e2e apps
* Improved getting started icon
Previous was too blurry/small
* Update readme with darker e2e icon
* Update e2e app explanation
* Lighter terminal icon for getting started apps
* Update readme getting started icons
* Update icons and spacing
* Delete unnecessary larger icon
* Delete unnecessary darker terminal icon
* Delete blurry icon
* Larger cursor for console icon
* Update to clearer console logo, rearrange table
Rearrange table of examples on readme so that it is clearer which type of sample is which. Also switch to improved icon for getting started terminal
* Improved spacing
Increase/decrease spacing to designate which samples are associate/of what type
* Fixed spacing readme
Remove unnecessary spaces to better center C# and F# labels
* Moved icons
Moved icons to before C#/F# rather than after, helps with associating apps correctly
* added End-to-End Object detection sample
* The model is predicting differently for different size of same image. Fixed by adding Fill option in resizing images.
other Minor changes.
* fixing namespace name
* Changed ML.Net version to latest preview version i.e 1.0.0-preview-27614-1
.Added new solution file for latest changes of ML.Net
-Added 0.12 version in Build.Props file for packages like ML.TensorFlow, Ml.Onnx instead of updating directly in project file.
* Removed hard coding
* Remvoed hard coding
* Remvoed hard coding and some minor changes
* Minor changes in Power Anomaly Detection
* Minor changes in Product Recommender
* Minor changes in Sales Forecast
* Minor changes in Shampoo Sales console app
* Minor changes in shampoo sales E2E app.
* Minor changes in Tensor Flow Estimator sample
* Added deveops feed for ML.Net
* Minor changes
* Added launchsettings.json
* removed older solution file.
* Added another nuget feed for latest changes.
changed Build.props file
* Removed commented code.
* Update README.md
* renamed folder
* minor changes
* Removed unnecessary code.
* Renamed folders
* Udated ReadMe file.
* Added link in the ReaMe file of launching page
* Changed to latest version of ML.Net feed
<MicrosoftMLVersion>1.0.0-preview-27625-9</MicrosoftMLVersion>
<MicrosoftMLPreviewVersion>0.12.0-preview-27625-9</MicrosoftMLPreviewVersion>
* -Added Microsoft.ML.Fasttree nuget package to fix build issue.
-Repalced partial with partialAsync in .cshtml file to fix deadlock warnings.
-Replaced using filestream with filepath
* Changed the version to latest of ML.Net. this is similar to 1.0
* Minor changes
* changed the version of ML.Net to 1.0.0 and tesnorflow,Onnx versions to 0.12.0
* CreditCard Fraud detection sample -committing updated model file while doing migration to 1.0.0
* Customer Segmentation sample-commiting updated model file
* Updated model file for GitHubLabeler sample
* Commiting updated model file for MovieRecommender E2E sample
* Fixed path issue.
* Added the previously deleted Object Detection E2E solution
* Removed the redundant project.
* Minor changes
* Changed version in ReadMe file of all samples
* Made folders consistant
* Reloaded the projects
* Reloaded the projects in sln for spike detection e2e sample
* Changed folder name
* Removed the dev div package feed
* Changed the path in CI build file
* Renamed shampoo sales to generic product sales so that this sample will be suitable for all kinds of product sales data
* Renamed the app
* Renamed project names.
Moved data and Models folders to commom location of both winfoms and console projects.
* Loaded the changed projects in solution file.
* fixed the path
* Fixed path
* fixed path
* Minor changes in ReadMe.md
Changed the scenarios wording from real time to cross cutting
* Casing changes in Readme File
* Migrating BikeSharingDemand sample to ML.Net v1.0.0-preview.
-added new solution file with v1.0.0
-Changed common Directory.Build.props file to v1.0.0-preview
* Changed ReadMe file of BikeSharing Demand sample.
Added build.Props file in remaining samples to fix build errors
* Minor change: BikesharingDemand sample -Removed unnecessary nuget package
* Migrated Credit Card Fraud Detection Sample.
* Migrated sample Customer segmentation
* Commiting model file of migrated sample Customer Segmentation
* Migrated Heart Disease Console APP.
* WIP: Migrating IRIS Classification sample
* Migrated IRIS Clustering sample to v1.0.0-preview
* Migrated Movie Recommender Sample to v1.0.0-preview.
* Migrated Movie Recommender E2e Sample to v1.0.0-preview
* Migrated Timeseries -PowerAnomalyDetection sample to ML.Net v1.0.0-preview
* Migrated Product Recommendation sample to v1.0.0-preview
* Power Anomaly Detection sample: some minor changes and updated ReadMe file to ML.Net 1.0.0-preview
* Migrated Sentiment Anlysis Sample to ML.Net v1.0.0-preview.
Commented Previewing of features column as it displays a number of 0's which is difficult to read.
* Migrated ShampooSales Spike Detection sample to v1.0.0-preview
* Migrated TaxiFare Prediction sample to ML.net v1.0.0-preview
* Migrated TensorFlow scorer-Image Classification Sample
* Migrated Sales Forecast sample to v1.0.0-preview
* changes in common files.
* Changed the solution file name
* Removed the unnecessary solution files.
* Migrated MNIST sample to ML.Net 1.0.0-preview.
Changed the trainer name to sdcaMaximumEntropy.
* ReadMe file of MNIST sample.
* Updated version number in Readme file of MNIST sample.
* Migrated MultiClass Classification_Iris sample to ML.Net 1.0.0-preview
* Migrated Github labeler sample to Ml.Net 1.0.0-preview.
* updated solution file
* migrated Scalable WEBAPI sample to v1.0.0-preview
* Minor changes in GITHUB labeler sample
* Minor changes in Sentiment Anlaysis sample. Using the model path directly intead of filestream.
* WIP: migrating TensorFlow Estimator sample.
* For TesnorFlow Estiamtor sample, the model got updated. storing the updated model in Predict project.
* Minor change
* Migrated Spam Detection Sample to Ml.Net 1.0.0-preview
* Updated sln file.
* Refactored Bike Sharing sample code to directly pass the filepath instead of file stream
* Refactored CreditCard Fraus Detection sample to use filepath instead of filestream
* Minor changes in Customer Segmenation sample
* no need to use filestream
* Removed old build.props file.
* Heart Disease Sample: Replaced file stream with filepath
* Iris Clustering Sample: Replaced file stream with filepath
* IRIS Classification sample: Replaced file stream with filepath
* Movei Recommender E2E sample: Refactored code to replace filestream with fielpath
* Minor changes
* Sales Forecast sample:
Refactored code to replace filestream with file path
* Migrated shampoosales spike detection sample to Ml.Net 1.0.0-preview
* Migrated ReadMe file for Shampoo sales E2E sample.
* ReadMe file of TensorFlow Estimator is migrated to 1.0.0-preview
* Refactored TaxiFare sample to replace filestream with filepath
* Refactored Powet Anomaly detection sample to repalce filestream with filepath
* Changed the training algorithm to use linear classification
* Refactored SpamDetection Sample and ReadMe file.
* Updated ReadMe of Github Labeler sample
* minor change
* Changed the name of sample in ReadME file
* Minor changes
* Minor changes
* updated build file.
Changed solution file.
Added new solution to include only cosnole proj to make the build successful
* WIP: pushed sample for object detection
* Removing object detection solution from master branch
* Added a new sample i.e Scalable WEBAPI for Real time scenario in the repo. so added link for that sample in ReadME file in seperate table.
* Working on Object Detection sample
* pushed the code to interpret the scores of model and predict the objects in the image.
* Created a sample object Detection using TinyYolo2 Onnx model
* Adding the model file
* Renamed the folder from TryOnnx to ObjectDetection. so this folder is created as copy.
* added Build.Props file with version Ml.Net 1.0.0.-preview
* Added ReadMe file and the images need for it.
* Added the link for Object Detection sample in ReadMe page of launching page
* initial version of shampoo winforms
* add gif
* Create README.md
* add shampoo winforms app to samples landing page
* add note about .net fx / manual restore of nuget
* create new classes for data structures
* remove to-do comment
* update code
* change from hash table to dictionary
* move model training from winforms to console app
* update gif
* add change point detection
* add change point detection
* update readme
* two changes
-add MLModels folder
-migrate from packages.config to PackageReference
* updates
* update
* Update ShampooSalesAnomalyDetection.sln
* remove migrate backup folder
* console app to .net core 2.2
* add messagebox for model does not exist
* Added Spike Detection-sahmpoo sales sample in ReadMe file
* Updated ReadMe file
* Reverted 2 readme files which are not releated to this branch
* Minor change:
Changed ReadME file of Sentiment Analysis according to code change
* Added code to classify github issues into the best 3 labels.
1.Created a class to hold Prediction values
2.Added Score filed in GitHubIssuePrediction class.
3.Changed the existing code in Labeler class.
4.Added new method to find the best 3 scores and return their indexes so that we can get the labels of those matched indexes from slotnames.
* Changed the images
* Changed Names
* changed names
* Removed images
* Added images
Bri Achtman
Luis Quintanilla
Cesar De la Torre
Brigit Murtaugh
Prathyusha Korrapati
Ankit Asthana
Kevin Malenfant