Mantis: Lightweight Calibrated Foundation Model for User Friendly Time Series Classification 🚨 NEW Version 0.2.0: Mantis pre training is now available! 🚨 Overview MANTIS is an open source python package with a pre trained time series classification foundation model implemented by Huawei Noah's Ark Lab. This is a repository the model checkpoint. Please refer to the GitHub repository of the package and the technical report on arXiv for more details. Installation Pip installation It can be installed via pip by running: The requirements can be verified at pyproject.toml Editable mode using Poetry First, install Poetry and add the path to the binary file to your shell configuration file. For example, on Linux systems, you can do this by running: Now you can create a virtual environment that is based on one of your already installed Python interpreters. For example, if your default Python is 3.9, then create the environment by running: Alternatively, you can specify a path to the interpreter. For example, to use an Anaconda Python interpreter: If you want to run any command within the environment, instead of activating the environment manually, you can use poetry run : For example, to…
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