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Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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Bumps [wandb](https://github.com/wandb/client) from 0.12.19 to 0.13.1. Release notes Sourced from wandb's releases. v0.13.1 0.13.1 (August 5, 2022) :bug: Bug Fix Prevents run.log() from mutating passed in arguments by @​kptkin in...

dependencies

Updates the requirements on [setuptools](https://github.com/pypa/setuptools) to permit the latest version. Changelog Sourced from setuptools's changelog. v64.0.0 Deprecations ^^^^^^^^^^^^ #3380: Passing some types of parameters via --global-option to setuptools PEP 517/PEP...

dependencies

Bumps [shap](https://github.com/slundberg/shap) from 0.40.0 to 0.41.0. Release notes Sourced from shap's releases. v0.41.0 Lots of bugs fixes and API improvements. Fixed rare bug with XGBoost model loading by @​TheZL @​lrjball...

dependencies

Updates the requirements on [plotly](https://github.com/plotly/plotly.py) to permit the latest version. Release notes Sourced from plotly's releases. v5.10.0 Updated Updated Plotly.js to from version 2.12.1 to version 2.14.0. See the plotly.js...

dependencies

Update `save_path: str = None` to `save_path: str = ""`.

**"filename"**: "flood_forecast/preprocessing/process_usgs.py" **"warning_type"**: "Invalid type [31]" **"warning_message"**: " Expression `(pandas.DataFrame, int, int, int)` is not a valid type." **"warning_line"**: 82 **"fix"**: remove int,int,int

I've been trying to use the library and find an example of a time series classifier that works. However, the only one I could find was on the confluence page...

Hello Sir, # I was wondering if you could help me with this. I was trying to run a multi-target multi-variate experiment using "DecoderTransformer" model. So I have a configuration...

enhancement