pybaselines.polynomial
Polynomial techniques for fitting baselines to experimental data.
Functions
Fits a polynomial baseline using a non-quadratic cost function. |
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The improved modofied polynomial (IModPoly) baseline algorithm. |
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Locally estimated scatterplot smoothing (LOESS). |
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The modified polynomial (ModPoly) baseline algorithm. |
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Fits a polynomial baseline using a non-quadratic cost function. |
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Computes a polynomial that fits the baseline of the data. |
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Approximates the baseline of the data using quantile regression. |