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[timeseries] Remove all references to MXNet #3396
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Job PR-3396-a39d778 is done. |
@@ -181,28 +181,8 @@ Note that some of the models' hyperparameters have names and default values that | |||
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## MXNet Models | |||
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Following MXNet-based models from GluonTS are available in AutoGluon. | |||
MXNet models from GluonTS have been deprecated as of AutoGluon v0.9 because of dependency conflicts caused by MXNet. |
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I think we will skip 0.9 and do 1.0 release directly this year, @Innixma can confirm
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Fixed 👍
Job PR-3396-44a8f04 is done. |
* 'master' of https://github.com/awslabs/autogluon: Fix crash when `time_limit` is None and overwritten via `max_time_limit` (autogluon#3418) Upgrade torch 2.0 (autogluon#3404) Fix FastAI crash edge-case (autogluon#3416) Add log for fit time adjustments (autogluon#3408) [fix][eda] Anomaly Detection - disable bps_flag for SUOD (autogluon#3406) [timeseries] Remove all references to MXNet (autogluon#3396) Remove ray lightning (autogluon#3398) [AutoMM] Add unit tests for trimming sequence lengths (autogluon#3399) [FIX] fix detection tutorial index (autogluon#3397) Refactor path (autogluon#3355) [Doc] Add AutoMM FAQs (autogluon#3388) [AutoMM] Fix the input keys of categorical MLP (autogluon#3384) [AutoMM] Clean up text processor (autogluon#3383) [AutoMM] Support customizing use_fast for AutoTokenizer (autogluon#3379) vw version bump (autogluon#3373) 0.8.2 post release (autogluon#3377)
Issue #, if available: #3357
MXNet models are incompatible with AutoGluon out-of-the-box because of numpy versions: MXNet requires
numpy<=1.20
and AutoGluon requiresnumpy>=1.21
. This PR removes all references to MXNet models, including documentation.Description of changes:
AbstractGluonTSModel
andAbstractGluonTSPyTorchModel
into a single classAbstractGluonTSModel
, as only PyTorch models from GluonTS will be supported from now on.hyperparameters
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