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# public api
## benchmark.c
The public API for running crossbar simulation, calculating performance metrics,
and generating plots.
* **MemModel struct**
* This is a struct for making model swapping easier
* members
* const char *model_path
* const char *subcircuit_name
* **run_benchmark() (int)**
* Executes the full crossbar simulation pipeline and stores the decoded
crossbar predictions in the passed output array.
* parameters
* const spires_reservoir_config *config
* spires_reservoir *reservoir
* Reservoir_State_Matrix *state_matrix
* const char *model_path
* const char *subcircuit_name
* double *predictions_out
* **calculate_MSE() (double)**
* calculates the mean squared error of the predictions against the expected
values
* parameters
* const double *expected
* const double *predicted
* const size_t *num_steps
* const size_t num_outputs
* **plot_raster() (int)**
* generates a raster plot of the reservoir based on the spike threshhold parameter
(not that useful tbh but can be cool to see), plot stored as svg in output directory
* parameters
* const Reservoir_State_Matrix *matrix
* const size_t neurons_to_plot
* const double spike_threshold
* **plot_reservoir_predictions() (int)**
* plots the decoded crossbar predictions against the expected values, plot stored
as svg in output directory with name "reservoir_prediction_$(model_name).svg"
* parameters
* const double *expected
* const double *predicted
* size_t num_samples
* size_t num_outputs
* size_t output_to_plot
* const char *model_path
* **plot_model_delta() (int)**
* plots the prediction differences for every timestep between the given model
and the fixed resistor baseline
* parameters
* const double *fixed
* const double *model
* const size_t num_samples
* const size_t num_outputs
* const size_t output_to_plot
# Internal header files
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