ACCESS-Community-Hub / PyEarthTools / 17001590456

61%

develop: 65%

push

github

Create tutorials for ENSO prediction

Adds a tutorial showing:
 - Extracting and processing data
 - Training an XGBoost time-series model
 - Training an MLP time-series model
 - Training an MLP spatio-temporal model

996 of 2132 branches covered (46.72%)

Branch coverage included in aggregate %.

1 of 13 new or added lines in 1 file covered. (7.69%)

9955 of 15896 relevant lines covered (62.63%)

2.5 hits per line