issues
search
ECMWFCode4Earth
/
ml_drought
Machine learning to better predict and understand drought. Moving github.com/ml-clim
https://ml-clim.github.io/drought-prediction/
90
stars
18
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
global default & unique filepath
#22
tommylees112
closed
5 years ago
1
WIP: Preprocessing
#21
gabrieltseng
closed
5 years ago
3
Update travis
#20
gabrieltseng
closed
5 years ago
0
Exporters: Planet OS
#19
gabrieltseng
closed
5 years ago
0
`PermissionError : Permission Denied` error when writing to `netCDF` from `xr.Dataset`
#18
tommylees112
closed
5 years ago
1
Improve documentation
#17
gabrieltseng
closed
5 years ago
1
Chirps Export Functionality
#16
tommylees112
closed
5 years ago
2
Add plotting functionality
#15
tommylees112
closed
5 years ago
3
Vhi preprocess #preprocess
#14
tommylees112
closed
5 years ago
1
Add entrypoint to the pipeline, and default arguments
#13
gabrieltseng
closed
5 years ago
2
WIP: VHI export
#12
gabrieltseng
closed
5 years ago
2
pytest unable to find `flake8`
#11
tommylees112
closed
5 years ago
1
Our software engineering practices
#10
tommylees112
opened
5 years ago
4
WIP: Add CDS exporter
#9
gabrieltseng
closed
5 years ago
1
Comparing forecast to Parsimonious model
#8
tommylees112
closed
4 years ago
0
Penalty for complexity - how do we pick our model compared to simpler alternatives?
#7
tommylees112
opened
5 years ago
0
How do we select our input features?
#6
tommylees112
opened
5 years ago
0
Does collinearity of the input features matter?
#5
tommylees112
opened
5 years ago
0
What time resolution do we want the data?
#4
tommylees112
closed
4 years ago
1
Designing the export class
#3
tommylees112
closed
5 years ago
0
Initial project framework
#2
gabrieltseng
closed
5 years ago
1
update the readme draft1
#1
tommylees112
closed
5 years ago
0
Previous