ACCESS-Community-Hub / PyEarthTools / 17001590456 / 3

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

989 of 2132 branches covered (46.39%)

Branch coverage included in aggregate %.

9932 of 15896 relevant lines covered (62.48%)

0.62 hits per line