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Hi all, Anyone to help me in converting the Use transformer to predict time series code [GitHub - iwasnothing/julia_transformer_ts: Time series prediction using transformer in Julia](https://github.co…
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### Describe the workflow you want to enable
I suggest adding new transformers to scikit-learn named `LogTransformer` and `LogWithShiftTransformer`, which would add the functionality of applying a lo…
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### Issue Type
Bug
### Source
source
### Keras Version
Keras 2.14
### Custom Code
Yes
### OS Platform and Distribution
_No response_
### Python version
_No response_
### GPU model and memo…
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From @benfulcher's talk, these are a number of feature sets that would be interesting to explore and possibly to interface as transformers.
Note, not all have a native python implementation, so it is…
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I have a question, I was able to run the training loop but the transformer doesn't converge,
is it because of the dataset? or it is because of some wrong hyper parameters or a chosen loss function.
…
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The the example for [time series classification with transformer](https://keras.io/examples/timeseries/timeseries_classification_transformer/), the the function `build_model()` is defined as:
```
…
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### Description
Based on the paper: https://arxiv.org/pdf/2402.19072
### Use case
Empowering Transformers for Time Series Forecasting with Exogenous Variables
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### Feature request
I would like to have a Dynamic Categorical Feature Embedding option in TimeSeriesTransformerConfig
### Motivation
I didn't see any option in the TimeSeriesTransformerConfig whe…
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Hi all,
I am a data scientist who is working mainly on the time series problems. Usually, the best features are lags, rolling means and target encoders. I have already a transformer for Spark DataF…
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This issue collects a wishlist of de-novo implementations of torch based models.
Anyone can suggest models to implement, we will have to prioritize along a impact/cost analysis.
FYI @fnhirwa.
C…