{{ title }}
{{ description }}
{% if is_best_fit %}
This is the best fit of the minimizers used.
{% endif %}Problem Outline | |||
Number of parameters | {{ n_params }} | ||
Number of data points | {{ n_data_points }} | ||
Minimizer | {{ minimizer }} | ||
Fitting Metrics | |||
Accuracy | {{ accuracy }} | ||
Runtime (mean) | {{ mean_runtime }} seconds | ||
Runtime (minimum) | {{ minimum_runtime }} seconds | ||
Runtime (maximum) | {{ maximum_runtime }} seconds | ||
Runtime (first) | {{ first_runtime }} seconds | ||
Runtime (median) | {{ median_runtime }} seconds | ||
Runtime (harmonic) | {{ harmonic_runtime }} seconds | ||
Runtime (trim) | {{ trim_runtime }} seconds | ||
Energy Usage | {{ energy }} | ||
Number of iterations | {{ iteration_count }} | ||
Number of function evaluations | {{ func_evals }} | ||
Function | |||
Form | {{ equation }} | ||
Parameters | |||
Name | Initial value | Fitted value | Change (Δ) |
{{ init_key.strip() }} | {{ init_value.strip() }} | {{ fit_value.strip() }} | {{ fit_value.strip()|float - init_value.strip()|float }} |
Too many parameters to display |
{% if fitted_plot_available %}
{% else %}
{{ fitted_plot }}
{% endif %} {% if pdf_plot_available %}Estimated posterior pdf of each parameter
The vertical red line on each pdf shows the Scipy curve fit parameter estimate, with the dashed vertical red lines indicating the 2 sigma error of the fit. The area between the dashed lines is used to calculate the confidence in the MCMC fit.
{% else %}