diff --git "a/physLSTM/lstm_vav_rtu1.ipynb" "b/physLSTM/lstm_vav_rtu1.ipynb" --- "a/physLSTM/lstm_vav_rtu1.ipynb" +++ "b/physLSTM/lstm_vav_rtu1.ipynb" @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 9, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -76,14 +76,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\arbal\\AppData\\Local\\Temp\\ipykernel_368\\4293840618.py:1: SettingWithCopyWarning: \n", + "C:\\Users\\arbal\\AppData\\Local\\Temp\\ipykernel_15284\\4293840618.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -109,7 +109,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -118,7 +118,7 @@ "[]" ] }, - "execution_count": 13, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -138,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -166,7 +166,7 @@ " dtype='object')" ] }, - "execution_count": 14, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -177,7 +177,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -203,7 +203,7 @@ "(1073512, 391818)" ] }, - "execution_count": 16, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -214,7 +214,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -223,7 +223,7 @@ "['scaler_vav_1.pkl']" ] }, - "execution_count": 18, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -264,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -273,7 +273,7 @@ "((1073481, 30, 55), (1073481, 26))" ] }, - "execution_count": 52, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -284,41 +284,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Epoch 1/3\n", - "\u001b[1m8387/8387\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 58ms/step - loss: 0.0696\n", - "Epoch 1: val_loss improved from inf to 0.65445, saving model to lstm_vav_01.keras\n", - "\u001b[1m8387/8387\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m589s\u001b[0m 69ms/step - loss: 0.0696 - val_loss: 0.6544\n", - "Epoch 2/3\n", - "\u001b[1m 449/8387\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m7:16\u001b[0m 55ms/step - loss: 0.0033" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[54], line 11\u001b[0m\n\u001b[0;32m 9\u001b[0m checkpoint_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlstm_vav_01.keras\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 10\u001b[0m checkpoint_callback \u001b[38;5;241m=\u001b[39m ModelCheckpoint(filepath\u001b[38;5;241m=\u001b[39mcheckpoint_path, monitor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mval_loss\u001b[39m\u001b[38;5;124m'\u001b[39m, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, save_best_only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, mode\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmin\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m---> 11\u001b[0m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalidation_data\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mX_test\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_test\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mepochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m128\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mcheckpoint_callback\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\keras\\src\\utils\\traceback_utils.py:117\u001b[0m, in \u001b[0;36mfilter_traceback..error_handler\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 115\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 116\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 117\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 119\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\keras\\src\\backend\\tensorflow\\trainer.py:314\u001b[0m, in \u001b[0;36mTensorFlowTrainer.fit\u001b[1;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq)\u001b[0m\n\u001b[0;32m 312\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m step, iterator \u001b[38;5;129;01min\u001b[39;00m epoch_iterator\u001b[38;5;241m.\u001b[39menumerate_epoch():\n\u001b[0;32m 313\u001b[0m callbacks\u001b[38;5;241m.\u001b[39mon_train_batch_begin(step)\n\u001b[1;32m--> 314\u001b[0m logs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 315\u001b[0m logs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pythonify_logs(logs)\n\u001b[0;32m 316\u001b[0m callbacks\u001b[38;5;241m.\u001b[39mon_train_batch_end(step, logs)\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\util\\traceback_utils.py:150\u001b[0m, in \u001b[0;36mfilter_traceback..error_handler\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 148\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 149\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 150\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 151\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 152\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\polymorphic_function.py:833\u001b[0m, in \u001b[0;36mFunction.__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 830\u001b[0m compiler \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mxla\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jit_compile \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnonXla\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 832\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m OptionalXlaContext(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jit_compile):\n\u001b[1;32m--> 833\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 835\u001b[0m new_tracing_count \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexperimental_get_tracing_count()\n\u001b[0;32m 836\u001b[0m without_tracing \u001b[38;5;241m=\u001b[39m (tracing_count \u001b[38;5;241m==\u001b[39m new_tracing_count)\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\polymorphic_function.py:878\u001b[0m, in \u001b[0;36mFunction._call\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 875\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock\u001b[38;5;241m.\u001b[39mrelease()\n\u001b[0;32m 876\u001b[0m \u001b[38;5;66;03m# In this case we have not created variables on the first call. So we can\u001b[39;00m\n\u001b[0;32m 877\u001b[0m \u001b[38;5;66;03m# run the first trace but we should fail if variables are created.\u001b[39;00m\n\u001b[1;32m--> 878\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mtracing_compilation\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 879\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_variable_creation_config\u001b[49m\n\u001b[0;32m 880\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 881\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_created_variables:\n\u001b[0;32m 882\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCreating variables on a non-first call to a function\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 883\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m decorated with tf.function.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\tracing_compilation.py:139\u001b[0m, in \u001b[0;36mcall_function\u001b[1;34m(args, kwargs, tracing_options)\u001b[0m\n\u001b[0;32m 137\u001b[0m bound_args \u001b[38;5;241m=\u001b[39m function\u001b[38;5;241m.\u001b[39mfunction_type\u001b[38;5;241m.\u001b[39mbind(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 138\u001b[0m flat_inputs \u001b[38;5;241m=\u001b[39m function\u001b[38;5;241m.\u001b[39mfunction_type\u001b[38;5;241m.\u001b[39munpack_inputs(bound_args)\n\u001b[1;32m--> 139\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_flat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# pylint: disable=protected-access\u001b[39;49;00m\n\u001b[0;32m 140\u001b[0m \u001b[43m \u001b[49m\u001b[43mflat_inputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcaptured_inputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfunction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcaptured_inputs\u001b[49m\n\u001b[0;32m 141\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\concrete_function.py:1322\u001b[0m, in \u001b[0;36mConcreteFunction._call_flat\u001b[1;34m(self, tensor_inputs, captured_inputs)\u001b[0m\n\u001b[0;32m 1318\u001b[0m possible_gradient_type \u001b[38;5;241m=\u001b[39m gradients_util\u001b[38;5;241m.\u001b[39mPossibleTapeGradientTypes(args)\n\u001b[0;32m 1319\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (possible_gradient_type \u001b[38;5;241m==\u001b[39m gradients_util\u001b[38;5;241m.\u001b[39mPOSSIBLE_GRADIENT_TYPES_NONE\n\u001b[0;32m 1320\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m executing_eagerly):\n\u001b[0;32m 1321\u001b[0m \u001b[38;5;66;03m# No tape is watching; skip to running the function.\u001b[39;00m\n\u001b[1;32m-> 1322\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_inference_function\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_preflattened\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1323\u001b[0m forward_backward \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_select_forward_and_backward_functions(\n\u001b[0;32m 1324\u001b[0m args,\n\u001b[0;32m 1325\u001b[0m possible_gradient_type,\n\u001b[0;32m 1326\u001b[0m executing_eagerly)\n\u001b[0;32m 1327\u001b[0m forward_function, args_with_tangents \u001b[38;5;241m=\u001b[39m forward_backward\u001b[38;5;241m.\u001b[39mforward()\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\atomic_function.py:216\u001b[0m, in \u001b[0;36mAtomicFunction.call_preflattened\u001b[1;34m(self, args)\u001b[0m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcall_preflattened\u001b[39m(\u001b[38;5;28mself\u001b[39m, args: Sequence[core\u001b[38;5;241m.\u001b[39mTensor]) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[0;32m 215\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Calls with flattened tensor inputs and returns the structured output.\"\"\"\u001b[39;00m\n\u001b[1;32m--> 216\u001b[0m flat_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_flat\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 217\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunction_type\u001b[38;5;241m.\u001b[39mpack_output(flat_outputs)\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\atomic_function.py:251\u001b[0m, in \u001b[0;36mAtomicFunction.call_flat\u001b[1;34m(self, *args)\u001b[0m\n\u001b[0;32m 249\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m record\u001b[38;5;241m.\u001b[39mstop_recording():\n\u001b[0;32m 250\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bound_context\u001b[38;5;241m.\u001b[39mexecuting_eagerly():\n\u001b[1;32m--> 251\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bound_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 252\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 253\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 254\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunction_type\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mflat_outputs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 255\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 256\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 257\u001b[0m outputs \u001b[38;5;241m=\u001b[39m make_call_op_in_graph(\n\u001b[0;32m 258\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 259\u001b[0m \u001b[38;5;28mlist\u001b[39m(args),\n\u001b[0;32m 260\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bound_context\u001b[38;5;241m.\u001b[39mfunction_call_options\u001b[38;5;241m.\u001b[39mas_attrs(),\n\u001b[0;32m 261\u001b[0m )\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\context.py:1500\u001b[0m, in \u001b[0;36mContext.call_function\u001b[1;34m(self, name, tensor_inputs, num_outputs)\u001b[0m\n\u001b[0;32m 1498\u001b[0m cancellation_context \u001b[38;5;241m=\u001b[39m cancellation\u001b[38;5;241m.\u001b[39mcontext()\n\u001b[0;32m 1499\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cancellation_context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1500\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[43mexecute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1501\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mutf-8\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1502\u001b[0m \u001b[43m \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_outputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1503\u001b[0m \u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtensor_inputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1504\u001b[0m \u001b[43m \u001b[49m\u001b[43mattrs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1505\u001b[0m \u001b[43m \u001b[49m\u001b[43mctx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1506\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1507\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 1508\u001b[0m outputs \u001b[38;5;241m=\u001b[39m execute\u001b[38;5;241m.\u001b[39mexecute_with_cancellation(\n\u001b[0;32m 1509\u001b[0m name\u001b[38;5;241m.\u001b[39mdecode(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[0;32m 1510\u001b[0m num_outputs\u001b[38;5;241m=\u001b[39mnum_outputs,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1514\u001b[0m cancellation_manager\u001b[38;5;241m=\u001b[39mcancellation_context,\n\u001b[0;32m 1515\u001b[0m )\n", - "File \u001b[1;32md:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\tensorflow\\python\\eager\\execute.py:53\u001b[0m, in \u001b[0;36mquick_execute\u001b[1;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[0;32m 51\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 52\u001b[0m ctx\u001b[38;5;241m.\u001b[39mensure_initialized()\n\u001b[1;32m---> 53\u001b[0m tensors \u001b[38;5;241m=\u001b[39m \u001b[43mpywrap_tfe\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mTFE_Py_Execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mctx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 54\u001b[0m \u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m core\u001b[38;5;241m.\u001b[39m_NotOkStatusException \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 56\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " + "d:\\anaconda3\\envs\\smartbuilding\\Lib\\site-packages\\keras\\src\\layers\\rnn\\rnn.py:204: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(**kwargs)\n" ] } ], @@ -351,7 +325,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -360,14 +334,14 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[1m12244/12244\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m110s\u001b[0m 9ms/step\n" + "\u001b[1m12244/12244\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m92s\u001b[0m 7ms/step\n" ] } ], @@ -377,7 +351,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -440,7 +414,7 @@ " 54: 'zone_036_heating_sp'}" ] }, - "execution_count": 60, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -452,19 +426,70 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(391787, 26)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "test_predict1_unscaled = test_predict1*scaler.scale_[0:31] + scaler.mean_[0:31]\n", - "y_test_unscaled = y_test*scaler.scale_[0:31] + scaler.mean_[0:31]" + "test_predict1.shape" ] }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(55,)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scaler.mean_.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "metadata": {}, "outputs": [], + "source": [ + "test_predict1_unscaled = test_predict1*scaler.scale_[0:26] + scaler.mean_[0:26]\n", + "y_test_unscaled = y_test*scaler.scale_[0:26] + scaler.mean_[0:26]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "%matplotlib inline\n", "var = 0\n", @@ -493,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -531,18 +556,28 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['kmeans_vav_1.pkl']" + "['pca_vav_1.pkl']" ] }, - "execution_count": 86, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -581,13 +616,13 @@ "plt.ylabel('Feature 2')\n", "plt.tight_layout()\n", "\n", - "joblib.dump(kmeans, 'kmeans_vav_2.pkl')\n", - "joblib.dump(pca, 'pca_vav_2.pkl')" + "joblib.dump(kmeans, 'kmeans_vav_1.pkl')\n", + "joblib.dump(pca, 'pca_vav_1.pkl')" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -638,7 +673,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -676,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -716,7 +751,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, "outputs": [ {