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```xml
java.lang.Runtime
g…
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The original paper uses "Series Stationarization" as proposed in "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting".
It could be easily implemented in the forward…
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I've observed that your model architecture is excellently designed to facilitate multi-agent interactions. However, it appears that current models are limited to handling scalar values. Could you elab…
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**Submitted by Eriawan Kusumawardhono on 3/21/2014 12:00:00 AM**
**150 votes on UserVoice prior to migration**
Covariance/contravariance has its beginning in CLR 2.0 and also with the introductio…
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作者您好！
首先感谢您的工作，文章逻辑清晰，源码组织规整！
拜读文章时有两个疑问向您请教。
第一：
在 4.2 iTransformers Generality 的 Variate generalization部分，文章提到
Firstly, benefiting from the flexibility of the
number of input tokens, the amoun…
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I see that you provide rankings for different models in the leaderboard. Would you provide the methods you use (metrics and datasets?) to evaluate their performance?
As far as I know, many comparis…
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Currently the transformer voting is a bit pointless as it doesn't have any useful context on which to base the vote. The ITransformerVotingContext is empty, casting to VotingContext only gives the cla…
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My dataset contains 100,000+ nodes and each node contains 365 time steps. the missing rate of this dataset is > 0.5. At the mean time, missing is random. Missing is mainly because my target is to fore…
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**Describe the bug**
Runtime exception when predicting data with our onnx model on iOS.
Works fine on android.
```
System.MissingMethodException: Method not found: System.Memory`1 Microsoft.ML…
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This error occurs when using the cloud platform or the standard lean engine with strategies that use Microsoft.ML.
even when packages are subscribed with $ lean library add "My Project" Microsoft.ML
…