upgrade perming[reduce memory burden in jupyter kernel]

released_box/perming/__init__.py

@@ -27,4 +27,4 @@
     'Multi-outputs': Ranker
 }
 
-__version__ = '1.7.0'
+__version__ = '1.7.1'

released_box/perming/_utils.py

@@ -223,7 +223,7 @@ def train_val(self,
         assert patience >= 10 and patience <= 100, 'Value coordinate with tolerance should fit about num_epochs and batch_size.' 
         assert n_jobs == -1 or n_jobs > 0, 'Take full jobs with setting n_jobs=-1 or manually set nums of jobs.'
         total_step: int = len(self.train_loader)
-        self.val_container = [*iter(self.val_loader)] # replace previous versions of _set_container
+        self.val_container = [set for set in self.val_loader] # replace [*iter] to avoid memory burden in jupyter kernel
         val_length: int = len(self.val_container)
         self.stop_iter: bool = False # init state of train_val
         for epoch in range(num_epochs):

released_box/tests/Multi-classification Task.ipynb

@@ -364,18 +364,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch [1/1], Step [100/3277], Training Loss: 2.5657, Validation Loss: 2.5551\n",
-      "Epoch [1/1], Step [200/3277], Training Loss: 1.8318, Validation Loss: 1.8269\n",
-      "Epoch [1/1], Step [300/3277], Training Loss: 1.2668, Validation Loss: 1.2844\n",
-      "Epoch [1/1], Step [400/3277], Training Loss: 0.9546, Validation Loss: 0.9302\n",
-      "Epoch [1/1], Step [500/3277], Training Loss: 0.7440, Validation Loss: 0.7169\n",
-      "Epoch [1/1], Step [600/3277], Training Loss: 0.5863, Validation Loss: 0.5889\n",
-      "Epoch [1/1], Step [700/3277], Training Loss: 0.5062, Validation Loss: 0.5086\n",
-      "Epoch [1/1], Step [800/3277], Training Loss: 0.3308, Validation Loss: 0.4563\n",
-      "Epoch [1/1], Step [900/3277], Training Loss: 0.3079, Validation Loss: 0.4204\n",
-      "Epoch [1/1], Step [1000/3277], Training Loss: 0.4298, Validation Loss: 0.3946\n",
-      "Epoch [1/1], Step [1100/3277], Training Loss: 0.3918, Validation Loss: 0.3758\n",
-      "Epoch [1/1], Step [1200/3277], Training Loss: 0.4366, Validation Loss: 0.3618\n",
+      "Epoch [1/1], Step [100/3277], Training Loss: 2.6289, Validation Loss: 2.5405\n",
+      "Epoch [1/1], Step [200/3277], Training Loss: 1.8560, Validation Loss: 1.8456\n",
+      "Epoch [1/1], Step [300/3277], Training Loss: 1.3494, Validation Loss: 1.2955\n",
+      "Epoch [1/1], Step [400/3277], Training Loss: 0.9759, Validation Loss: 0.9386\n",
+      "Epoch [1/1], Step [500/3277], Training Loss: 0.6706, Validation Loss: 0.7154\n",
+      "Epoch [1/1], Step [600/3277], Training Loss: 0.5756, Validation Loss: 0.5840\n",
+      "Epoch [1/1], Step [700/3277], Training Loss: 0.5099, Validation Loss: 0.4954\n",
       "Process stop at epoch [1/1] with patience 10 within tolerance 0.001\n"
      ]
     }
@@ -405,7 +400,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "loss of Box on the 104960 test dataset: 0.3505959212779999.\n"
+      "loss of Box on the 104960 test dataset: 0.46497929096221924.\n"
      ]
     },
     {
@@ -446,9 +441,9 @@
        "               'princetonLocky': [100761, 104857],\n",
        "               'white': [100761, 104857]}),\n",
        "             ('loss',\n",
-       "              {'train': 0.330683171749115,\n",
-       "               'val': 0.3547004163265228,\n",
-       "               'test': 0.3505959212779999}),\n",
+       "              {'train': 0.5337933897972107,\n",
+       "               'val': 0.4650214910507202,\n",
+       "               'test': 0.46497929096221924}),\n",
        "             ('sorted',\n",
        "              [('montrealAPT', [100761, 104857]),\n",
        "               ('montrealComradeCircle', [100761, 104857]),\n",
@@ -503,7 +498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "a98cad80",
    "metadata": {},
    "outputs": [],
@@ -525,7 +520,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "a771705d",
    "metadata": {},
    "outputs": [],
@@ -544,15 +539,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "eee8abfb",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "loss of Box on the 104960 test dataset: 0.35059523582458496.\n"
+      "loss of Box on the 104960 test dataset: 0.46509239077568054.\n"
      ]
     },
     {
@@ -593,9 +588,9 @@
        "               'princetonLocky': [100761, 104857],\n",
        "               'white': [100761, 104857]}),\n",
        "             ('loss',\n",
-       "              {'train': 0.330683171749115,\n",
-       "               'val': 0.3547004163265228,\n",
-       "               'test': 0.35059523582458496}),\n",
+       "              {'train': 0.5337933897972107,\n",
+       "               'val': 0.4650214910507202,\n",
+       "               'test': 0.46509239077568054}),\n",
        "             ('sorted',\n",
        "              [('montrealAPT', [100761, 104857]),\n",
        "               ('montrealComradeCircle', [100761, 104857]),\n",
@@ -628,7 +623,7 @@
        "               ('white', [100761, 104857])])])"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }