model name underscores to hyphens

Author: aidanacquah

Re-TrainModel.ipynb

@@ -57,7 +57,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "classifier_file_name = f\"models/ssl_ukb_c24_rw_{WINSEC}s_{datetime.now().strftime('%Y%m%d')}.joblib.lzma\""
+    "classifier_file_name = f\"models/ssl-ukb-c24-rw-{WINSEC}s-{datetime.now().strftime('%Y%m%d')}.joblib.lzma\""
    ]
   },
   {
@@ -145,23 +145,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "eefc79ef",
+   "id": "342dda28",
    "metadata": {},
    "outputs": [],
    "source": [
-    "y = loaded_classifier.predict_from_frame(data, 100, True,'5H', True)\n",
-    "p = plotTimeSeries(y, \"Single sleep block per day, minimum 5 hour sleep\")"
+    "y = loaded_classifier.predict_from_frame(data, 100, True, None, False)\n",
+    "p = plotTimeSeries(y, \"Keep naps, no minimum sleep duration\")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2bd50def",
+   "id": "eefc79ef",
    "metadata": {},
    "outputs": [],
    "source": [
-    "y = loaded_classifier.predict_from_frame(data, 100, True, None, False)\n",
-    "p = plotTimeSeries(y, \"Keep naps, no minimum sleep duration\")"
+    "y = loaded_classifier.predict_from_frame(data, 100, True,'5H', True)\n",
+    "p = plotTimeSeries(y, \"Single sleep block per day, minimum 5 hour sleep\")"
    ]
   },
   {

TrainModel.ipynb

@@ -188,7 +188,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "classifier_file_name = f\"models/ssl_ukb_c24_rw_{WINSEC}s_{datetime.now().strftime('%Y%m%d')}.joblib.lzma\""
+    "classifier_file_name = f\"models/ssl-ukb-c24-rw-{WINSEC}s-{datetime.now().strftime('%Y%m%d')}.joblib.lzma\""
    ]
   },
   {

src/actinet/__init__.py

@@ -4,8 +4,8 @@
 __maintainer_email__ = "shing.chan@ndph.ox.ac.uk"
 __license__ = "See LICENSE file."
 
-__classifier_version__ = "ssl_ukb_c24_rw_30s_20250716"
-__classifier_md5__ = "7d4cbd5ec5f173fc7babfcf92d46d8bb"
+__classifier_version__ = "ssl-ukb-c24-rw-30s-20250717"
+__classifier_md5__ = "b6742740c6bf629bc7a863ebf6e103df"
 
 from . import _version