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Second fit example #31
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
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jeremyfell
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LGTM overall
| "id": "7b5565cb", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### word of caution...different diffusion coefficient values still give the same CV under E_rev conditions (the beauty of Nernstian kinetics!)" |
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nit: let's format these as full sentences
| "### word of caution...different diffusion coefficient values still give the same CV under E_rev conditions (the beauty of Nernstian kinetics!)" | |
| "### A word of caution: different diffusion coefficient values still give the same CV under E_rev conditions (the beauty of Nernstian kinetics!)." |
Also do we want this text as subheadings (i.e. using ###) or just as regular text? It shows up fairly big in the notebook
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| "## Example: fit the EE mechanism, now with some known priors\n", | ||
| "### we will assume that diffusion/transfer coefficients were obtained experimentally from RDE, and an educated guess for the ranges of electrochemical rate constants is known" |
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| "### we will assume that diffusion/transfer coefficients were obtained experimentally from RDE, and an educated guess for the ranges of electrochemical rate constants is known" | |
| "### We will assume that diffusion/transfer coefficients were obtained experimentally from the RDE, and an educated guess for the ranges of electrochemical rate constants is known." |
| "id": "0fa7456c", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### the `.fit()` method can optionally receive: a `float` for initial guess of parameter; `tuple[float, float]` for (lower bound, upper bound) of the initial guess; or `tuple[float, float, float]` for (initial guess, lower bound, upper bound)" |
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| "### the `.fit()` method can optionally receive: a `float` for initial guess of parameter; `tuple[float, float]` for (lower bound, upper bound) of the initial guess; or `tuple[float, float, float]` for (initial guess, lower bound, upper bound)" | |
| "### The `fit` method can optionally receive: a `float` for an initial guess of the parameter; `tuple[float, float]` for (lower bound, upper bound) of the parameter; or `tuple[float, float, float]` for (initial guess, lower bound, upper bound)." |
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