Version 1.7.1 of the NeuralForecast #Python library was released last month by Nixtla. The NeuralForecast library, as the name implies, provides a neural network framework for time series forecasting. 🧵👇🏼
(2/3) The release includes the support for the following new models:
✅ BiTCN - temporal convolutional networks forecasting model
✅ iTransformer - transformer-based forecasting model
✅ MLPMultivariate - an MLP model that supports multivariate tasks
In addition, the library now supports multi-node distributed training with Spark ✨ and Polars 🐻❄️ data frames 🚀
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