ML API for EO Data Cubes - Proposals#558
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Release v2.0.0-rc.1
* Remove mention to examples folder * Update README.md --------- Co-authored-by: Matthias Mohr <matthias@mohr.ws>
ml processes foundation
tempcnn, mlp, xgboost
tae, svm, lighttae, predict probabilities
export & import: datacube, ml_model
ml uncertainty
* svr and catboost (#10) * ml classification smoothing * smooth refactor * smooth shorten summary * ml label class * softmax word * 1d cnn * svr and catboost class * Dev (#11) * ml classification smoothing * smooth refactor * smooth shorten summary * ml label class * softmax word * 1d cnn * svr and catboost class * update save ml and ml fit * update save ml * Dev (#12) * ml classification smoothing * smooth refactor * smooth shorten summary * ml label class * softmax word * 1d cnn * svr and catboost class * update save ml and ml fit * update save ml * fit data mod * Dev (#13) * ml classification smoothing * smooth refactor * smooth shorten summary * ml label class * softmax word * 1d cnn * svr and catboost class * update save ml and ml fit * update save ml * fit data mod * removed dimensions parameter --------- Co-authored-by: Brian Pondi <pondibrian@gmail.com>
Fix/load ml model
load stac ml
Closes #15
change log update
ml proposals for eo data cubes
refactor save ml model
ml tune and validate
save ml variable renaming
Add proposal for k-fold cross-validation ML model validation
…ning Add optional return_model to save_ml_model for process graph chaining
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Here are the current Machine Learning API Specification Proposals and their corresponding implementation efforts:
Ongoing Implementations
Python (Dask)
openeo-processes-dask-ml
R (SITS package)
openeocraft
R (gdalcubes)
openeocubes