mloning

7 ms·

1. 1.▲
   by mloning 3mo ago

   You can get prescription inlets for some of them, including these ones.
2. 2.▲
   by mloning 3y ago

   Location: Europe Remote: hybrid or remote Willing to relocate: yes Technologies: Python, Kubernetes, C#, SQL, MLFlow, Azure, Terraform, bash, scikit-learn, pytorch Résumé/CV: upon request Email: www.linkedin.com/in/mloning Ma
3. 3.▲
   by mloning 6y ago

   We're actually interfacing tsfresh. Unifying ML with time series is perhaps better understood in terms of the different learning tasks (e.g. time series classification/regression/clustering, forecasting, time series annotatio
4. 4.▲
   by mloning 6y ago

   We're interfacing statsmodels and pmdarima for the implementation of the ARIMA model. I believe that you can persist models in statsmodels without saving the whole training data.
5. 5.▲
   by mloning 6y ago

   sktime is a toolbox with the goal to support multiple models and composition techniques, Prophet is a particular model. We're working on interfacing it so that you can call it using our API.