xrfit
Project description
xrfit
Overview 🎯
xrfit provides Model-based, Multidimensional regression/analysis methods. By Integrating,
-
xarray to handle multivariate data by utilizing coordinate-aware structure of DataArray.
-
lmfit to deal complex regression problems using the composite-model based approach.
Features ✨
- Model based regression
model = Model_1() + Model_2() guess = data.fit.guess(model=model) result = data.fit(model=model, params=guess)
- Parameter handling (e.g. Sorting and Smoothing parameters)
sorted_result = result.params.sort("params_name") smoothened_result = sorted_result.params.smoothen("params_name") new_result = data.fit(model=model, params=smoothened_result.parmams)
- Interactive visualization
result.display()
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