release v0.17

release v0.17
update release scripts for /data/recommenders
shap kernel explaner sample default from 50 -> 20 for speed

.env

@@ -1,3 +1,3 @@
 #!/bin/sh
 # Docker production build environment
-TAG=0.17a3
+TAG=0.17

machine/learn/skl_utils.py

@@ -677,8 +677,8 @@ def plot_shap_summary_curve(tmpdir, _id, model, features, feature_names, class_n
 
     else:
         # KernelExplainer
-        #Sample 50 examples for computational speedup
-        max_num_samples = 50
+        #Sample 20 examples for computational speedup
+        max_num_samples = 20
         num_samples = min(max_num_samples, len(features))
         sampled_row_indices = np.random.choice(features.shape[0], size=num_samples, replace=False)
         features = features[sampled_row_indices]

release/docker-compose-hub-image.yml

@@ -8,6 +8,7 @@ services:
     volumes:
       - "/appsrc"
       - "./data/datasets/user:/appsrc/data/datasets/user"
+      - "./data/recommenders:/appsrc/data/recommenders/pennaiweb"
       - "./target:/appsrc/target"
     ports:
       - "5080:5080"

release/generate_production_release.sh

@@ -17,13 +17,16 @@ rm $PROD_BUILD_DIR -fr
 rm $PROD_ZIP_FILENAME
 
 mkdir -p "${PROD_BUILD_DIR}/data/datasets/user"
+mkdir -p "${PROD_BUILD_DIR}/data/recommenders"
 mkdir -p "${PROD_BUILD_DIR}/config"
 
 cp release/userReadme.txt "${PROD_BUILD_DIR}/readme.txt"
 
 cp data/datasets/user/myDataset_metadata.json.example "${PROD_BUILD_DIR}/data/datasets/user"
 cp data/datasets/user/readme.md "${PROD_BUILD_DIR}/data/datasets/user"
 
+cp data/recommenders/pennaiweb/SVDRecommender_*.pkl.gz "${PROD_BUILD_DIR}/data/recommenders"
+
 cp config/common.env "${PROD_BUILD_DIR}/config"
 cp config/machine_config.json "${PROD_BUILD_DIR}/config"
 cp config/ai.env-template "${PROD_BUILD_DIR}/config"