update model file links and readme for model_analysis and post_analysis

.gitignore

@@ -12,7 +12,7 @@
 *.pt
 *.pyc
 *.sh
-*.svg
+#*.svg
 *.xml
 configs/*.yaml
 *.zip
@@ -27,7 +27,7 @@ __pycache__
 **.ipynb_checkpoints/
 nilearn_cache/
 .pytest_cache
-model_analysis/figures/
+#model_analysis/figures/
 model_analysis/first-order/
 model_analysis/second-order/
 semistats/estimator/_code.py

model_analysis/README.md

@@ -1,5 +1,7 @@
 # Statistical analysis on 1st and 2nd-order coefficients
 
+Sample first-order (.pt) and second-order (.joblib) model files are available on Hugging Face Model Hub: [https://huggingface.co/shuo-zhou/brain_network_lateralization](https://huggingface.co/shuo-zhou/brain_network_lateralization), DOI: [10.57967/hf/2996](https://doi.org/10.57967/hf/2996).
+
 Each `.mat` file contains the mean and standard deviation of coefficients for a group (1000) of model.
 
 **Naming:** `L` denotes the $\lambda$, and `G` denotes the subjects' gender (0 for male and 1 for female) of the subset used for training.
@@ -16,3 +18,5 @@ The models were trained to classify two group of models.
 
 - mean and standard deviation of models (logistic regression)to classify models trained respectively on males and females, both with $\lambda=2$
 - "L2G0" was labelled as class 1 and "L2G1" was labelled as class 0
+
+The output figures are available in the [figures](./figures) folder.