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[ci skip] Fix backpropagation spelling\n\n- Fixed 'backpropogation' -> 'backpropagation' typo in comments
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src/neural_de.jl

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@@ -20,7 +20,7 @@ Arguments:
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- `tspan`: The timespan to be solved on.
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- `alg`: The algorithm used to solve the ODE. Defaults to `nothing`, i.e. the
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default algorithm from DifferentialEquations.jl.
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- `sensealg`: The choice of differentiation algorithm used in the backpropogation.
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- `sensealg`: The choice of differentiation algorithm used in the backpropagation.
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Defaults to an adjoint method. See
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the [Local Sensitivity Analysis](https://docs.sciml.ai/SciMLSensitivity/stable/)
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documentation for more details.
@@ -72,7 +72,7 @@ Arguments:
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- `tspan`: The timespan to be solved on.
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- `alg`: The algorithm used to solve the ODE. Defaults to `nothing`, i.e. the
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default algorithm from DifferentialEquations.jl.
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- `sensealg`: The choice of differentiation algorithm used in the backpropogation.
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- `sensealg`: The choice of differentiation algorithm used in the backpropagation.
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- `kwargs`: Additional arguments splatted to the ODE solver. See the
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[Common Solver Arguments](https://docs.sciml.ai/DiffEqDocs/stable/basics/common_solver_opts/)
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documentation for more details.
@@ -121,7 +121,7 @@ Arguments:
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- `nbrown`: The number of Brownian processes.
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- `alg`: The algorithm used to solve the ODE. Defaults to `nothing`, i.e. the
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default algorithm from DifferentialEquations.jl.
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- `sensealg`: The choice of differentiation algorithm used in the backpropogation.
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- `sensealg`: The choice of differentiation algorithm used in the backpropagation.
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- `kwargs`: Additional arguments splatted to the ODE solver. See the
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[Common Solver Arguments](https://docs.sciml.ai/DiffEqDocs/stable/basics/common_solver_opts/)
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documentation for more details.
@@ -175,7 +175,7 @@ Arguments:
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- `lags`: Defines the lagged values that should be utilized in the neural network.
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- `alg`: The algorithm used to solve the ODE. Defaults to `nothing`, i.e. the
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default algorithm from DifferentialEquations.jl.
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- `sensealg`: The choice of differentiation algorithm used in the backpropogation.
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- `sensealg`: The choice of differentiation algorithm used in the backpropagation.
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Defaults to using reverse-mode automatic differentiation via Tracker.jl
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- `kwargs`: Additional arguments splatted to the ODE solver. See the
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[Common Solver Arguments](https://docs.sciml.ai/DiffEqDocs/stable/basics/common_solver_opts/)
@@ -226,7 +226,7 @@ Arguments:
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- `tspan`: The timespan to be solved on.
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- `alg`: The algorithm used to solve the ODE. Defaults to `nothing`, i.e. the
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default algorithm from DifferentialEquations.jl.
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- `sensealg`: The choice of differentiation algorithm used in the backpropogation.
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- `sensealg`: The choice of differentiation algorithm used in the backpropagation.
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Defaults to using reverse-mode automatic differentiation via Tracker.jl
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- `kwargs`: Additional arguments splatted to the ODE solver. See the
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[Common Solver Arguments](https://docs.sciml.ai/DiffEqDocs/stable/basics/common_solver_opts/)
@@ -299,7 +299,7 @@ Arguments:
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compatible with singular mass matrices. Consult the
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[DAE solvers](https://docs.sciml.ai/DiffEqDocs/stable/solvers/dae_solve/) documentation
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for more details.
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- `sensealg`: The choice of differentiation algorithm used in the backpropogation.
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- `sensealg`: The choice of differentiation algorithm used in the backpropagation.
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Defaults to an adjoint method. See
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the [Local Sensitivity Analysis](https://docs.sciml.ai/SciMLSensitivity/stable/)
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documentation for more details.

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