Chronos How-to Guides ========================= How-to guides are bite-sized, executable examples where users could check when meeting with some specific topic during the usage. Installation ------------------------- * `Install Chronos on Windows `__ * `Use Chronos in container(docker) `__ Data Processing ------------------------- * `Preprocess my data `__ * `Built-in dataset `__ Forecasting ------------------------- Develop a forecaster ~~~~~~~~~~~~~~~~~~~~~~~~~ * `Choose a forecaster algorithm `__ * `Create a forecaster `__ * `Train forecaster on single node `__ * `Tune forecaster on single node `__ * `Evaluate a forecaster `__ * `Use forecaster to predict future data `__ * `Generate confidence interval for prediction `__ Speed up a forecaster ~~~~~~~~~~~~~~~~~~~~~~~~~ * `Speed up inference of forecaster through ONNXRuntime `__ * `Speed up inference of forecaster through OpenVINO `__ * `Optimize a forecaster by searching the best accelerate method `__ Persist a forecaster ~~~~~~~~~~~~~~~~~~~~~~~~~ * `Save and load a forecaster `__ * `Export the ONNX model files to disk `__ * `Export the OpenVINO model files to disk `__ * `Export the TorchScript model files to disk `__ * `Preprocess my data `__ * `Built-in dataset `__ Benchmark a forecaster ~~~~~~~~~~~~~~~~~~~~~~~~~ * `Use Chronos benchmark tool `__ Deploy a forecaster ~~~~~~~~~~~~~~~~~~~~~~~~~ * `A whole workflow in production environment after my forecaster is developed `__ * `Export data processing pipeline to torchscript for further deployment without Python environment `__