[N][R] A Brief Tutorial for Developing AutoML Tools with Hypernets

• Hypernets

  1 261 7.7 Python

  A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

  

Please see here for the Hypernets library.

• knn_toy_model

  1 1 0.0 Python

  Using Hypernets to implement K-nearest neighbors as a toy model

To reveal the core features and ideas of Hypernets, we first continue to solve the problem defined in the very beginning--how to perform parameter tuning of KNN automatically using Hyernets--but in a different manner: we view the parameter tuning problem as a complete AutoML task and develop a complete AutoML tool for this task from scratch using Hypernets. For simplicity, we only consider the classification task, and the regression case can be easily generalized. As introduced above, this developing procedure contains 3 steps and we will simply follow these steps. See here for details.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project