GitHub - mfkiwl/Stratospheric_water_vapor_ML: Analyzing stratospheric water vapor and ozone using machine learning models

samlx: Statistical Analysis using Machine Learning models powered by Xarray

A combination of sci-kit learn models with various statsmodels features all bundled up in a neat xarray.

samlx has minimal requirements of:

The package can be installed using pip:

coming soon...

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This project is licensed under the MIT License - see the LICENSE file for details

Name		Name	Last commit message	Last commit date
Latest commit History 288 Commits
gis		gis
regressors		regressors
.gitignore		.gitignore
L137_model_levels_1976_climate.txt		L137_model_levels_1976_climate.txt
LICENSE.md		LICENSE.md
ML_OOP_stratosphere_gases.py		ML_OOP_stratosphere_gases.py
MRI_analysis.py		MRI_analysis.py
README.md		README.md
aux_functions_strat.py		aux_functions_strat.py
cold_point_calc.py		cold_point_calc.py
era5_postp.py		era5_postp.py
era5_tools.py		era5_tools.py
h2o_all_timeseries_for_corr.dat		h2o_all_timeseries_for_corr.dat
igra2-station-list.txt		igra2-station-list.txt
igra_eq_stations.txt		igra_eq_stations.txt
make_regressors.py		make_regressors.py
merra_concat_script.py		merra_concat_script.py
pollution_index.py		pollution_index.py
randel_test.py		randel_test.py
siphon_script.py		siphon_script.py
sounding_script.py		sounding_script.py
strat_paths.py		strat_paths.py
strato_figures.py		strato_figures.py
strato_gases_ML_script.py		strato_gases_ML_script.py
strato_gases_simple_ML.py		strato_gases_simple_ML.py
strato_soundings.py		strato_soundings.py
swoosh.py		swoosh.py