F# migrate to v1.0.0-preview #354
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| @@ -88,15 +87,15 @@ After the model is trained, you can use the `Predict()` API to predict whether n | |||
| let classify = classifyWithThreshold 0.15f | |||
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@kevmal We don't need to use threshold value. The model predicts correctly if you follow the pipeline at https://github.com/dotnet/machinelearning-samples/blob/master/samples/csharp/getting-started/BinaryClassification_SpamDetection/SpamDetectionConsoleApp/Program.cs
CESARDELATORRE
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May 4, 2019
* removed unused assembly reference * Power anomaly consistency (#356) * Consistent MLModels folder * Consistent datastructures * Iris MultiClass Classification map scores with labels (#363) * 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 * removed seed parameter during prediction * 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. * Added code to retrieve labels from scores. Added comments how the scores are mapped to labels. * updated ReadMe file according to upstream master * Removed duplicate images folder and ReadMe-1.0.0-preview.md file(will add this in other branch) * Updated ReadMe file of IRIS and Mnist. Removed comment in MNIST * Minor changes in ReadMe file * Minor change in comment * Parse float from string with invariant culture (#357) * Use culture when parsing * Cosmetic change to align folder naming inside the C# solution * Use InvariantCulture when parsing a string to a float. * [Issue 345] Fix after PR Review * [#345] Remove useless using * Restructured Heart Disease sample and added the heart disease dataset in datasets.md file * Update README.md * Update DATASETS.md * Update README.md * F# migrate to v1.0.0-preview (#354) * F# - migrate bike sharing sample * F# - migrate spam sample * F# - migrate fraud sample * F# - migrate customer seg sample * F# - migrate iris classification sample * F# - migrate iris cluster sample * F# migrate sentiment sample * F# migrate taxi sample * rename solution * F# migrate tensorflow image classification sample * Label 'Count' column as 'Label' * print full trainer name * print absolute path * sentiment data update, some formatting updates * update tensorflow model * F# migrate issue labeler * update readme * update readme * Fix type-o: 'speccifying' => 'specifying' (#370) * F# update spam sample method (#366) * Fixed package issue. * AutoML API Test * Dataviews in AutoML * Cleaning up AutoML binary sample * Multiclass AutoML Sample * Fixing comments * AutoML Regression Sample * Added launchSettings.json to git (#381) * Minor Scalable.WebAPI changes (#382) * Added launchSettings.json to git * Removed part of sample included by mistake * Small fixes- display todos * Restructure files; rev AutoML binray classification sample * Rev Regression AutoML sample * restore experiment times to 60 seconds * Advanced experiment sample * bump experiment time * rev-ed due to feedback * break advanced sample into more modular methods * update step #s * fix comment * move stopwatch * remove unnecessary comment * capitalization fix * lots of revs * file path fix * delete final prediction * add progress handlers * Rev individual SLN files and delete READMEs * print exceptions if any in progress handlers * rev README.md * revert unnecessary changes * undo unneeded changes * revert datasets.md * Rev namespaces * restructure directory * undo unnecessary delete * print top models * Set CacheDirectory to null in advaned experiment * top model printing fix * Samples readmes * Regression README * Advanced Samples README * Edit AutoML binary classification sentiment analysis README * Binary README rev * README rev * README rev * README rev * README rev * unify heading size * README updates * rev * rev * revert unnecessary deletes * README fix * remove plot from advanced sample * Remove unneeded new line * add comment to progress handlers class * Remove unneeded blank lines at beginning of each solutions * Iterate on advanced README * Iterate to print headers; print list of top AutoML models before complete set of metrics from best model * README fix * Upgrade to AutoML from NuGet! * READMEs: In AutoML definition, remove dependence on training scores * Update samples/csharp/getting-started/BinaryClassification_AutoML/README.md Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/MulticlassClassification_AutoML/README.md Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * account for null / NaN metrics when computing top models * Re-fit pipeline on train & test data at the end of advanced sample * Merge commit that deletes dataset folder * Add back datasets folder with AutoML datasets * Add back in datasets * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/MulticlassClassification_AutoML/MNIST/DataStructures/SampleMNISTData.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/MulticlassClassification_AutoML/MNIST/DataStructures/SampleMNISTData.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/Regression_AutoML/TaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com> * Update samples/csharp/getting-started/AdvancedExperiment_AutoML/AdvancedTaxiFarePrediction/Program.cs Co-Authored-By: daholste <43974253+daholste@users.noreply.github.com>
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