fine-grained-demand-forecasting

hls

Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.

How to download and setup fine-grained-demand-forecasting

Open terminal and run command

git clone https://github.com/databricks-industry-solutions/fine-grained-demand-forecasting.git

git clone is used to create a copy or clone of fine-grained-demand-forecasting repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with fine-grained-demand-forecasting https://github.com/databricks-industry-solutions/fine-grained-demand-forecasting/archive/master.zip

Or simply clone fine-grained-demand-forecasting with SSH

[email protected]:databricks-industry-solutions/fine-grained-demand-forecasting.git

If you have some problems with fine-grained-demand-forecasting

You may open issue on fine-grained-demand-forecasting support forum (system) here: https://github.com/databricks-industry-solutions/fine-grained-demand-forecasting/issues

Similar to fine-grained-demand-forecasting repositories

Here you may see fine-grained-demand-forecasting alternatives and analogs

video.js digital_video_introduction react-player videojs-player FFmpeg mediaelement hls.js clappr srs DPlayer videojs-contrib-hls chimee HaishinKit.swift Shinobi xgplayer nginx-vod-module livego Node-Media-Server m3u8 v4l2rtspserver go-oryx m3u8 H5-dash-hls-rtmp-webrtc PipeCNN media-server rapidvms php-practice laravel-ffmpeg ZLMediaKit mediaelement-plugins