someone writing a custom sender, creates a do_send or some such plugin, it has a hard-coded destination, so destination is not a useful setting.
however sr_sender has a hard coded check where it refuses to start unless destination is set and valid.
The requirement forced the user to assign a fake destination, and the fake destination had to have a valid entry in credentials.conf. ... it might
This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)
This repo contains Jupyter Notebooks as material for an interactive session on OGC web services for meteorological data during UEF (Using ECMWF Forecasts) 2017 meeting. The interactive demo was held on Thursday, 15 June 2017 at 11:50 - 12:50 and 14:00 to 15:00.
An overview of openly available meteorological and climate data from ECMWF and Copernicus Climate Change and Atmosphere Monitoring Services. Python examples are provided how the data can be retrieved
someone writing a custom sender, creates a do_send or some such plugin, it has a hard-coded destination, so destination is not a useful setting.
however sr_sender has a hard coded check where it refuses to start unless destination is set and valid.
The requirement forced the user to assign a fake destination, and the fake destination had to have a valid entry in credentials.conf. ... it might