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lines changed Original file line number Diff line number Diff line change @@ -115,7 +115,7 @@ Structure of PySINDy
115115The submodules of PySINDy are each aligned with one of the terms in
116116the aforementioned approximation equation, :math: `\dot X \approx \Theta (X)\Xi .`
117117
118- * ``pysindy.differentiate `` performs numerical differentiation to compute :math: `\dot X` from :math: `X`;
118+ * ``pysindy.differentiation `` performs numerical differentiation to compute :math: `\dot X` from :math: `X`;
119119 * ``pysindy.feature_library `` allows the user to specify a set of library functions and handles the formation of :math: `\Theta (X)`;
120120 * ``pysindy.optimizers `` provides a set of sparse regression solvers for determining :math: `\Xi `.
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Original file line number Diff line number Diff line change @@ -18,22 +18,15 @@ We show how to use PySINDy to learn a model for a simple linear differential equ
1818`Evaluating a model fit <./tutorial_2/example.ipynb >`_
1919---------------------------------------------------------------------------------------------------------------------
2020
21- .. toctree ::
22- :hidden:
23- :maxdepth: 1
24-
25- ./tutorial_2/example
26-
27-
28- `Choosing model components <./tutorial_3/example.ipynb >`_
29- ---------------------------------------------------------------------------------------------------------------------
30-
21+ It can be tricky to evaluate how well a model is fit.
22+ This tutorial shows different ways to evaluate and visualize a model,
23+ depending on the use case.
3124
3225.. toctree ::
3326 :hidden:
3427 :maxdepth: 1
3528
36- ./tutorial_3 /example
29+ ./tutorial_2 /example
3730
3831
3932`Feature overview <./1_feature_overview/example.ipynb >`_
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