move joblib files to root

Build-Post-Here-1 · Jul 28, 2020 · e05799c · e05799c
1 parent 97ecbe9
commit e05799c
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Showing 5 changed files with 43 additions and 6 deletions.
diff --git a/Package.json b/Package.json
diff --git a/app/api/predict.py b/app/api/predict.py
@@ -54,8 +54,8 @@ async def dummy_predict(item: Item):
 
 @ router.post('/predict')
 async def kpredict(item: Item):
-    #model = load('/home/dliu/lambda/build/app/api/subreddit_mvp.joblib')   # for local debug
-    #tfidf = load('/home/dliu/lambda/build/app/api/reddit_mvp_tfidf.joblib')
+   # model = load('/home/dliu/lambda/build/app/api/subreddit_mvp.joblib')   # for local debug
+   # tfidf = load('/home/dliu/lambda/build/app/api/reddit_mvp_tfidf.joblib')
     model = load('subreddit_mvp.joblib')   
     tfidf = load('reddit_mvp_tfidf.joblib')
 

diff --git a/notebooks/selftext_models.ipynb b/notebooks/selftext_models.ipynb
@@ -368,7 +368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -383,8 +383,33 @@
      "output_type": "stream",
      "text": [
       "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 8 concurrent workers.\n",
-      "[Parallel(n_jobs=-1)]: Done   2 tasks      | elapsed: 58.4min\n"
+      "[Parallel(n_jobs=-1)]: Done   2 tasks      | elapsed: 58.4min\n",
+      "[Parallel(n_jobs=-1)]: Done  22 out of  30 | elapsed: 212.9min remaining: 77.4min\n",
+      "[Parallel(n_jobs=-1)]: Done  30 out of  30 | elapsed: 270.0min finished\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "RandomizedSearchCV(cv=3, error_score=nan,\n",
+       "                   estimator=SVC(C=1.0, break_ties=False, cache_size=200,\n",
+       "                                 class_weight=None, coef0=0.0,\n",
+       "                                 decision_function_shape='ovr', degree=3,\n",
+       "                                 gamma='scale', kernel='rbf', max_iter=-1,\n",
+       "                                 probability=False, random_state=8,\n",
+       "                                 shrinking=True, tol=0.001, verbose=False),\n",
+       "                   iid='deprecated', n_iter=10, n_jobs=-1,\n",
+       "                   param_distributions={'C': [0.01, 0.1], 'degree': [3, 4, 5],\n",
+       "                                        'gamma': [0.001, 0.01, 0.1, 1, 10],\n",
+       "                                        'kernel': ['linear', 'poly'],\n",
+       "                                        'probability': [True]},\n",
+       "                   pre_dispatch='2*n_jobs', random_state=8, refit=True,\n",
+       "                   return_train_score=False, scoring='accuracy', verbose=5)"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -405,9 +430,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The best hyperparameters from Random Search are:\n",
+      "{'probability': True, 'kernel': 'poly', 'gamma': 10, 'degree': 3, 'C': 0.1}\n",
+      "\n",
+      "The mean accuracy of a model with these hyperparameters is:\n",
+      "0.019743336623889437\n"
+     ]
+    }
+   ],
    "source": [
     "\n",
     "print(\"The best hyperparameters from Random Search are:\")\n",

diff --git a/app/api/reddit_mvp_tfidf.joblib → reddit_mvp_tfidf.joblib b/app/api/reddit_mvp_tfidf.joblib → reddit_mvp_tfidf.joblib
diff --git a/app/api/subreddit_mvp.joblib → subreddit_mvp.joblib b/app/api/subreddit_mvp.joblib → subreddit_mvp.joblib