- Language: en
Simple Tut Example¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
Name: | tut_example1 |
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Title: | Simple Tut Example |
Author: | J.R. Hartley |
Abstract: |
One compartment model with elimination rate constant KE.
Keywords: | one compartment model; iv_one_cmp_k |
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Input Script: | tut_example1.pyml |
Diagram: |
True f[X] values¶
f[KE] = 0.1000
f[PNOISE] = 0.0500
f[KE_isv] = 0.0300
Starting f[X] values¶
f[KE] = 0.0500
f[PNOISE] = 0.1000
f[KE_isv] = 0.1000
Outputs¶
Generated data .csv file¶
Synthetic Data: | synthetic_data.csv |
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Generating and Fitting Summaries¶
- Gen: Simple Tut Example (gen)
- Fit: Simple Tut Example (fit)
Fitted f[X] values¶
f[KE] = 0.0999
f[PNOISE] = 0.0503
f[KE_isv] = 0.0183
Plots¶
Comparison¶
True objective value¶
-7.2061
Final fitted objective value¶
-9.2911
Compare Main f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[KE] | 0.05 | 0.0999 | 0.1 | 0.13% | 1.30e-04 |
Compare Noise f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[PNOISE] | 0.1 | 0.0503 | 0.05 | 0.67% | 3.36e-04 |
Compare Variance f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[KE_isv] | 0.1 | 0.0183 | 0.03 | 39.00% | 1.17e-02 |