class NLS_ODE extends Predictor with Error
Given an Ordinary Differential Equation 'ODE' parameterized using the vector 'b' with Initial Value 'IV' 'y0', estimate the parameter values 'b' for the ODE using weighted Non-linear Least Squares 'NLS'.
ODE: dy/dt = f(t, y) IV: y(t0) = y0
Times series data: z(t0), z(t1), ... z(tn)
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val
b: VectoD
Coefficient/parameter vector [b_0, b_1, ...
Coefficient/parameter vector [b_0, b_1, ... b_k]
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def
coefficient: VectoD
Return the vector of coefficient/parameter values.
Return the vector of coefficient/parameter values.
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val
e: VectoD
Residual/error vector [e_0, e_1, ...
Residual/error vector [e_0, e_1, ... e_m-1]
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def
fit: VectorD
Return the quality of fit including 'rSquared'.
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def
fitLabels: Array[String]
Return the labels for the fit.
Return the labels for the fit. Override when necessary.
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def
flaw(method: String, message: String): Unit
Show the flaw by printing the error message.
Show the flaw by printing the error message.
- method
the method where the error occurred
- message
the error message
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def
init(_objectiveF: FunctionV_2S, _y0: Double): Unit
Initialize
NLS-ODE
with the objective function and initial value/condition.Initialize
NLS-ODE
with the objective function and initial value/condition.- _objectiveF
the objective function indicating departure from observation
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def
predict(zz: VectoD): Double
Given a new continuous data vector z, predict the y-value of f(z).
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def
predict(z: VectorI): Double
Given a new discrete data vector z, predict the y-value of f(z).
Given a new discrete data vector z, predict the y-value of f(z).
- z
the vector to use for prediction
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def
residual: VectoD
Return the vector of residuals/errors.
Return the vector of residuals/errors.
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def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
train(): Unit
Train the predictor by fitting the parameter vector (b-vector) using a non-linear least squares method.
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def
wait(): Unit
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def
wsseF(dy_dt: Derivative): Double
Function to compute the Weighted Sum of Squares Error 'SSE' for given values for parameter vector 'b'.