ACCESS-Community-Hub / PyEarthTools / 17001777158 / 3

65%

develop: 65%

push

github

Create tutorials for ENSO prediction

Adds tutorials for ENSO prediction showing:
     - Extracting and processing data
     - Training an XGBoost time-series model
     - Training an MLP time-series model
     - Training an MLP spatio-temporal model

1003 of 2066 branches covered (48.55%)

Branch coverage included in aggregate %.

9462 of 15043 relevant lines covered (62.9%)

0.63 hits per line