updated README

1 files changed, 57 insertions, 13 deletions

diff --git a/src/README.md b/src/README.md
index cff34af..5d0dcb0 100644
--- a/src/README.md
+++ b/src/README.md
@@ -1,20 +1,64 @@
-OH MY GOD SO MUCH HAS CHANGED NEED TO UPDATE
+# public api
+## benchmark.c
 
-# memristor crossbar readout layer for reservoir computer
-##setup 
-### download spires
+The public API for running crossbar simulation, calculating performance metrics,
+and generating plots.
 
-## overview
-### simulation
+* **MemModel struct**
+    * This is a struct for making model swapping easier
+    * members
+        * const char *model_path
+        * const char *subcircuit_name
 
-### benchmark
+* **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
 
-## Goal
-The goal is to able to simulate a spires reservoir on a memristor crossbar using
-a custom memristor spice model(HIL), thus you can run the same simulation with 
-multiple models to compare how each performs using benchmark results.
+* **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
 
-## task
+* **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
 
-## metrics