Skip to content

Release notes for 3.0 #6888

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Nov 22, 2023
Merged

Release notes for 3.0 #6888

Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
6211ca9
release notes 3.0
michaelgsharp Nov 22, 2023
a268058
Apply suggestions from code review
michaelgsharp Nov 22, 2023
ff9c84d
updates from pr
michaelgsharp Nov 22, 2023
0a20801
Merge branch 'release-notes-3.0' of https://github.com/michaelgsharp/…
michaelgsharp Nov 22, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Apply suggestions from code review 
Co-authored-by: Jeff Handley <[email protected]>
  • Loading branch information
@michaelgsharp @jeffhandley
michaelgsharp and jeffhandley authored Nov 22, 2023
commit a268058ac052277ba34fc19a7d7370fbbb744a3e
17 changes: 6 additions & 11 deletions docs/release-notes/3.0/release-3.0.0.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,10 +43,8 @@
- **Improve performance of column cloning inside DataFrame arithmetics** ([#6814](https://github.com/dotnet/machinelearning/pull/6814)) - Thanks @asmirnov82!
- **Add performance benchmarks for dataframe arithmetic operations** ([#6827](https://github.com/dotnet/machinelearning/pull/6827)) - Thanks @asmirnov82!
- **Simplify tt files for PrimitiveDataFrameColumnAritmetics** ([#6830](https://github.com/dotnet/machinelearning/pull/6830)) - Thanks @asmirnov82!
- **Update dependencies** ([#6837](https://github.com/dotnet/machinelearning/pull/6837))
- **update interactive kernel version** ([#6836](https://github.com/dotnet/machinelearning/pull/6836))
- **Improve performance of DataFrame binary comparison operations** ([#6869](https://github.com/dotnet/machinelearning/pull/6869)) - Thanks @asmirnov82!
- **Allow to define CultureInfo for parsing values on reading DataFrame from csv** ([#6782](https://github.com/dotnet/machinelearning/pull/6782)) - Thanks @asmirnov82!
- **Allow a CultureInfo to be used for parsing CSV values into DataFrame** ([#6782](https://github.com/dotnet/machinelearning/pull/6782)) - Thanks @asmirnov82!
- **File-scoped namespaces in files under `Prediction` (`Microsoft.ML.Core`)** ([#6792](https://github.com/dotnet/machinelearning/pull/6792)) - Thanks @Lehonti!
- **File-scoped namespaces in files under `ComponentModel` (`Microsoft.ML.Core`)** ([#6788](https://github.com/dotnet/machinelearning/pull/6788)) - Thanks @Lehonti!
- **File-scoped namespaces in files under `Data` (`Microsoft.ML.Core`)** ([#6789](https://github.com/dotnet/machinelearning/pull/6789)) - Thanks @Lehonti!
Expand All @@ -72,11 +70,11 @@
- **Fix Apply in PrimitiveColumnContainer** ([#6642](https://github.com/dotnet/machinelearning/pull/6642)) - Fixes the Apply method so it no longer changes the source column. Thanks @janholo!
- **Fix datetime null error** ([#6627](https://github.com/dotnet/machinelearning/pull/6627)) - Fixes loading a null datetime from a database so it now returns correctly instead of throwing an error.
- **Fix AggregateTrainingStopManager is trying to cancel disposed tokens** ([#6612](https://github.com/dotnet/machinelearning/pull/6612)) - Will no longer try and cancel already disposed tokens.
- **Fix tostring bug for sweepable pipeline** ([#6610](https://github.com/dotnet/machinelearning/pull/6610))
- **Fix ToString bug for sweepable pipeline** ([#6610](https://github.com/dotnet/machinelearning/pull/6610))
- **Change Test to Validate in Dataset manager** ([#6599](https://github.com/dotnet/machinelearning/pull/6599))
- **Fixed System.OperationCanceledException when calling experimentResult.BestRun.Estimator.Fit** ([#6572](https://github.com/dotnet/machinelearning/pull/6572))
- **Fixed cancellation bug in SweepablePipelineRunner && Fixed object null exception in AutoML v1.0 regression API** ([#6560](https://github.com/dotnet/machinelearning/pull/6560))
- **Fixed one dal dispatching issues** ([#6547](https://github.com/dotnet/machinelearning/pull/6547)) - OneDal now dispatches correctly.
- **Fixed OneDal dispatching issues** ([#6547](https://github.com/dotnet/machinelearning/pull/6547)) - OneDal now dispatches correctly.
- **Fixed Multi-threaded access issue** ([#6537](https://github.com/dotnet/machinelearning/pull/6537)) - Fixed a multi-threaded access issue for variable length string arrays in ONNX models.
- **Fixed AutoML experiments in non declarative style not working** ([#6447](https://github.com/dotnet/machinelearning/pull/6447))
- **Fix DataFrame Saving csv with VBufferDataFrameColumn** ([#6860](https://github.com/dotnet/machinelearning/pull/6860)) - Thanks @asmirnov82!
Expand All @@ -90,7 +88,7 @@
- **Fix inconsistent null handling in DataFrame Arithmetics** ([#6770](https://github.com/dotnet/machinelearning/pull/6770)) - Thanks @asmirnov82!
- **Fix DataFrame.LoadCsv can not load CSV with duplicate column names** ([#6772](https://github.com/dotnet/machinelearning/pull/6772)) - Thanks @asmirnov82!
- **Fix issue with addIndexColumn in DataFrame.LoadCsv** ([#6769](https://github.com/dotnet/machinelearning/pull/6769)) - Thanks @asmirnov82!
- **fix issue #2718 from model builder** ([#6768](https://github.com/dotnet/machinelearning/pull/6768))
- **Fix text classification InvocationException during cross-validation, issue #2718 from model builder** ([#6768](https://github.com/dotnet/machinelearning/pull/6768))
- **Fix incorrect DataFrame min max computation with NULL** ([#6734](https://github.com/dotnet/machinelearning/pull/6734)) - Thanks @asmirnov82!
- **Fix ML.Fairlean using ToList on Row Collection with Count more than Max.Int** ([#6678](https://github.com/dotnet/machinelearning/pull/6678)) - Thanks @asmirnov82!
- **Fix the behavior of column SetName method** ([#6676](https://github.com/dotnet/machinelearning/pull/6676)) - Thanks @asmirnov82!
Expand All @@ -107,15 +105,12 @@
- **Remove MSIL Check for TorchSharp** ([#6658](https://github.com/dotnet/machinelearning/pull/6658)) - Removes the MSIL check for TorchSharp while we figure out how we want to correctly handle this.
- **Change code coverage build pool** ([#6647](https://github.com/dotnet/machinelearning/pull/6647)) - Changed codecoverage build pool so the builds are faster and more stable.
- **Update AutoMLExperimentTests.cs to fix timeout error** ([#6638](https://github.com/dotnet/machinelearning/pull/6638))
- **Update FabricBot config** ([#6619](https://github.com/dotnet/machinelearning/pull/6619))
- **Libraries area pod updates March 2023** ([#6607](https://github.com/dotnet/machinelearning/pull/6607))
- **update interactive kernel version** ([#6836](https://github.com/dotnet/machinelearning/pull/6836))
- **Update dependencies** ([#6837](https://github.com/dotnet/machinelearning/pull/6837))
- **Update dependencies from dotnet/arcade** ([#6566 & #6518 & #6451 & #6439](https://github.com/dotnet/machinelearning/pull/6566))
- **Mac python fix** ([#6549](https://github.com/dotnet/machinelearning/pull/6549))
- **Moving onedal nuget download from onedal to native where its needed for building** ([#6527](https://github.com/dotnet/machinelearning/pull/6527))
- **New os image for official builds** ([#6467](https://github.com/dotnet/machinelearning/pull/6467))
- **FabricBot: Do not add needs-further-triage to issues still marked as untriaged** ([#6722](https://github.com/dotnet/machinelearning/pull/6722))
- **FabricBot: Remove area pod project board automation** ([#6881](https://github.com/dotnet/machinelearning/pull/6881))
- **Removed codecov token** ([#6811](https://github.com/dotnet/machinelearning/pull/6811))
- **Removed deprecated yosemite brew** ([#6805](https://github.com/dotnet/machinelearning/pull/6805))
- **Run tests that requires more than 2 Gb of memory only on 64-bit env** ([#6758](https://github.com/dotnet/machinelearning/pull/6758)) - Thanks @asmirnov82!
- **Reduce coupling of Data.Analysis.Tests project** ([#6759](https://github.com/dotnet/machinelearning/pull/6759)) - Thanks @asmirnov82!
Expand Down