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fitbit.ipynb copy
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{
"cells": [
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"source": [
"import numpy as np\n",
"from matplotlib import pyplot as plt\n",
"import pandas as pd\n",
"from keras.models import Sequential\n",
"from keras.layers import Dense\n",
"from keras.layers import LSTM\n",
"from keras.layers import Dropout\n",
"import pickle as pkl\n",
"import json\n",
"import requests\n",
"\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"heart = pd.read_csv(\"heartrate_db.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Time</th>\n",
" <th>Value</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>10/1/2017 12:00:00 AM</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>10/1/2017 12:00:05 AM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>10/1/2017 12:00:10 AM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>10/1/2017 12:00:20 AM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>10/1/2017 12:00:25 AM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>10/1/2017 12:00:35 AM</td>\n",
" <td>64</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>10/1/2017 12:00:40 AM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>10/1/2017 12:00:45 AM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>10/1/2017 12:00:50 AM</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>10/1/2017 12:00:55 AM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10/1/2017 12:01:00 AM</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>10/1/2017 12:01:05 AM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>10/1/2017 12:01:20 AM</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>10/1/2017 12:01:35 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>10/1/2017 12:01:50 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>10/1/2017 12:02:05 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>10/1/2017 12:02:20 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>10/1/2017 12:02:25 AM</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>10/1/2017 12:02:40 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>10/1/2017 12:02:50 AM</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>10/1/2017 12:02:55 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>10/1/2017 12:03:00 AM</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>10/1/2017 12:03:05 AM</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>10/1/2017 12:03:12 AM</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>10/1/2017 12:03:17 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>10/1/2017 12:03:22 AM</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>10/1/2017 12:03:27 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>10/1/2017 12:03:42 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>10/1/2017 12:03:52 AM</td>\n",
" <td>56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>10/1/2017 12:04:02 AM</td>\n",
" <td>55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122217</th>\n",
" <td>10/8/2017 11:56:13 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122218</th>\n",
" <td>10/8/2017 11:56:18 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122219</th>\n",
" <td>10/8/2017 11:56:33 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122220</th>\n",
" <td>10/8/2017 11:56:43 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122221</th>\n",
" <td>10/8/2017 11:56:48 PM</td>\n",
" <td>61</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122222</th>\n",
" <td>10/8/2017 11:56:53 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122223</th>\n",
" <td>10/8/2017 11:56:58 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122224</th>\n",
" <td>10/8/2017 11:57:06 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122225</th>\n",
" <td>10/8/2017 11:57:21 PM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122226</th>\n",
" <td>10/8/2017 11:57:31 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122227</th>\n",
" <td>10/8/2017 11:57:36 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122228</th>\n",
" <td>10/8/2017 11:57:41 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122229</th>\n",
" <td>10/8/2017 11:57:46 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122230</th>\n",
" <td>10/8/2017 11:57:51 PM</td>\n",
" <td>61</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122231</th>\n",
" <td>10/8/2017 11:58:01 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122232</th>\n",
" <td>10/8/2017 11:58:06 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122233</th>\n",
" <td>10/8/2017 11:58:21 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122234</th>\n",
" <td>10/8/2017 11:58:36 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122235</th>\n",
" <td>10/8/2017 11:58:41 PM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122236</th>\n",
" <td>10/8/2017 11:58:46 PM</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122237</th>\n",
" <td>10/8/2017 11:58:51 PM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122238</th>\n",
" <td>10/8/2017 11:59:01 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122239</th>\n",
" <td>10/8/2017 11:59:11 PM</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122240</th>\n",
" <td>10/8/2017 11:59:16 PM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122241</th>\n",
" <td>10/8/2017 11:59:21 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122242</th>\n",
" <td>10/8/2017 11:59:26 PM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122243</th>\n",
" <td>10/8/2017 11:59:36 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122244</th>\n",
" <td>10/8/2017 11:59:46 PM</td>\n",
" <td>58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122245</th>\n",
" <td>10/8/2017 11:59:51 PM</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122246</th>\n",
" <td>10/8/2017 11:59:56 PM</td>\n",
" <td>60</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>122247 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" Time Value\n",
"0 10/1/2017 12:00:00 AM 57\n",
"1 10/1/2017 12:00:05 AM 58\n",
"2 10/1/2017 12:00:10 AM 58\n",
"3 10/1/2017 12:00:20 AM 58\n",
"4 10/1/2017 12:00:25 AM 58\n",
"5 10/1/2017 12:00:35 AM 64\n",
"6 10/1/2017 12:00:40 AM 60\n",
"7 10/1/2017 12:00:45 AM 58\n",
"8 10/1/2017 12:00:50 AM 57\n",
"9 10/1/2017 12:00:55 AM 58\n",
"10 10/1/2017 12:01:00 AM 57\n",
"11 10/1/2017 12:01:05 AM 58\n",
"12 10/1/2017 12:01:20 AM 57\n",
"13 10/1/2017 12:01:35 AM 55\n",
"14 10/1/2017 12:01:50 AM 55\n",
"15 10/1/2017 12:02:05 AM 55\n",
"16 10/1/2017 12:02:20 AM 55\n",
"17 10/1/2017 12:02:25 AM 54\n",
"18 10/1/2017 12:02:40 AM 55\n",
"19 10/1/2017 12:02:50 AM 54\n",
"20 10/1/2017 12:02:55 AM 55\n",
"21 10/1/2017 12:03:00 AM 54\n",
"22 10/1/2017 12:03:05 AM 54\n",
"23 10/1/2017 12:03:12 AM 54\n",
"24 10/1/2017 12:03:17 AM 55\n",
"25 10/1/2017 12:03:22 AM 54\n",
"26 10/1/2017 12:03:27 AM 55\n",
"27 10/1/2017 12:03:42 AM 55\n",
"28 10/1/2017 12:03:52 AM 56\n",
"29 10/1/2017 12:04:02 AM 55\n",
"... ... ...\n",
"122217 10/8/2017 11:56:13 PM 59\n",
"122218 10/8/2017 11:56:18 PM 60\n",
"122219 10/8/2017 11:56:33 PM 59\n",
"122220 10/8/2017 11:56:43 PM 60\n",
"122221 10/8/2017 11:56:48 PM 61\n",
"122222 10/8/2017 11:56:53 PM 60\n",
"122223 10/8/2017 11:56:58 PM 59\n",
"122224 10/8/2017 11:57:06 PM 59\n",
"122225 10/8/2017 11:57:21 PM 58\n",
"122226 10/8/2017 11:57:31 PM 59\n",
"122227 10/8/2017 11:57:36 PM 60\n",
"122228 10/8/2017 11:57:41 PM 59\n",
"122229 10/8/2017 11:57:46 PM 60\n",
"122230 10/8/2017 11:57:51 PM 61\n",
"122231 10/8/2017 11:58:01 PM 60\n",
"122232 10/8/2017 11:58:06 PM 59\n",
"122233 10/8/2017 11:58:21 PM 60\n",
"122234 10/8/2017 11:58:36 PM 60\n",
"122235 10/8/2017 11:58:41 PM 58\n",
"122236 10/8/2017 11:58:46 PM 57\n",
"122237 10/8/2017 11:58:51 PM 58\n",
"122238 10/8/2017 11:59:01 PM 59\n",
"122239 10/8/2017 11:59:11 PM 57\n",
"122240 10/8/2017 11:59:16 PM 58\n",
"122241 10/8/2017 11:59:21 PM 59\n",
"122242 10/8/2017 11:59:26 PM 58\n",
"122243 10/8/2017 11:59:36 PM 59\n",
"122244 10/8/2017 11:59:46 PM 58\n",
"122245 10/8/2017 11:59:51 PM 59\n",
"122246 10/8/2017 11:59:56 PM 60\n",
"\n",
"[122247 rows x 2 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"heart"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1313bc5f8>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1440x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"heart_data = heart['Value']\n",
"heart_data.plot(figsize = (20,8))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(64.21758407159275, 13.27116097054837)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mean = heart_data.mean()\n",
"std = heart_data.std()\n",
"mean,std"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 -0.543855\n",
"1 -0.468503\n",
"2 -0.468503\n",
"3 -0.468503\n",
"4 -0.468503\n",
"Name: Value, dtype: float64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"heart_data = heart_data.apply(lambda x : (x - mean) / std)\n",
"heart_data.head()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"features = []\n",
"y = []\n",
"\n",
"window_size = 30\n",
"predicted_size = 1\n",
"\n",
"for i in range(heart_data.shape[0] - window_size - predicted_size):\n",
" features.append(heart_data[i:i+window_size])\n",
" y.append(heart_data[i+ window_size])\n",
"features, y = np.array(features), np.array(y)\n",
"features = np.reshape(features, (features.shape[0], features.shape[1], 1))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((97772, 30, 1), (97772,))"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"split_index = int(features.shape[0]*(1-0.2))\n",
"X_train, X_test = features[0:split_index],features[split_index:]\n",
"y_train,y_test = y[0:split_index],y[split_index:]\n",
"\n",
"X_train.shape, y_train.shape"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"model = Sequential()\n",
"\n",
"model.add(LSTM(units = 30, return_sequences = True, input_shape = (window_size, 1)))\n",
"model.add(Dropout(0.2))\n",
"\n",
"model.add(LSTM(units = 20, return_sequences = True))\n",
"model.add(Dropout(0.2))\n",
"\n",
"model.add(LSTM(units = 10, return_sequences = False))\n",
"model.add(Dropout(0.2))\n",
"\n",
"model.add(Dense(units = 1))\n",
"\n",
"model.compile(optimizer = 'adam', loss = 'mean_squared_error')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/3\n",
"97772/97772 [==============================] - 21s 212us/step - loss: 0.2110\n",
"Epoch 2/3\n",
"97772/97772 [==============================] - 19s 190us/step - loss: 0.0842\n",
"Epoch 3/3\n",
"97772/97772 [==============================] - 19s 191us/step - loss: 0.0660\n"
]
},
{
"data": {
"text/plain": [
"<keras.callbacks.History at 0x130080f60>"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.fit(\n",
" X_train, \n",
" y_train, \n",
" epochs = 3, \n",
" batch_size = 512\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"with open(\"heart_model.pkl\",\"wb\") as f:\n",
" pkl.dump(model,f)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"with open(\"heart_model.pkl\",\"rb\") as f:\n",
" heart_model = pkl.load(f)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"predict_heart = model.predict(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((24444, 1), (24444,))"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predict_heart.shape,y_test.shape"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (20,4))\n",
"plt.plot(predict_heart,color='red', label='prediction')\n",
"plt.plot(y_test,color='blue', label='y_test')\n",
"plt.legend(loc='upper left')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"my_heart = pd.read_csv(\"heart.csv\",names = [\"Time\",\"Value\"])[\"Value\"]"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 70\n",
"1 70\n",
"2 70\n",
"3 90\n",
"4 91\n",
"5 86\n",
"6 85\n",
"7 82\n",
"8 81\n",
"9 81\n",
"10 81\n",
"11 83\n",
"12 83\n",
"13 83\n",
"14 74\n",
"15 70\n",
"16 70\n",
"17 70\n",
"18 73\n",
"19 73\n",
"20 73\n",
"21 74\n",
"22 73\n",
"23 73\n",
"24 74\n",
"25 75\n",
"26 75\n",
"27 76\n",
"28 74\n",
"29 75\n",
"30 75\n",
"31 74\n",
"32 74\n",
"33 74\n",
"34 75\n",
"35 75\n",
"36 75\n",
"37 75\n",
"38 76\n",
"39 77\n",
"40 78\n",
"41 78\n",
"42 76\n",
"43 75\n",
"44 75\n",
"45 74\n",
"46 70\n",
"47 70\n",
"48 70\n",
"49 70\n",
"50 70\n",
"51 70\n",
"52 70\n",
"53 70\n",
"54 71\n",
"Name: Value, dtype: int64"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"my_heart"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 0.435713\n",
"1 0.435713\n",
"2 0.435713\n",
"3 1.942740\n",
"4 2.018091\n",
"5 1.641335\n",
"6 1.565983\n",
"7 1.339929\n",
"8 1.264578\n",
"9 1.264578\n",
"10 1.264578\n",
"11 1.415281\n",
"12 1.415281\n",
"13 1.415281\n",
"14 0.737118\n",
"15 0.435713\n",
"16 0.435713\n",
"17 0.435713\n",
"18 0.661767\n",
"19 0.661767\n",
"20 0.661767\n",
"21 0.737118\n",
"22 0.661767\n",
"23 0.661767\n",
"24 0.737118\n",
"25 0.812470\n",
"26 0.812470\n",
"27 0.887821\n",
"28 0.737118\n",
"29 0.812470\n",
"30 0.812470\n",
"31 0.737118\n",
"32 0.737118\n",
"33 0.737118\n",
"34 0.812470\n",
"35 0.812470\n",
"36 0.812470\n",
"37 0.812470\n",
"38 0.887821\n",
"39 0.963172\n",
"40 1.038524\n",
"41 1.038524\n",
"42 0.887821\n",
"43 0.812470\n",
"44 0.812470\n",
"45 0.737118\n",
"46 0.435713\n",
"47 0.435713\n",
"48 0.435713\n",
"49 0.435713\n",
"50 0.435713\n",
"51 0.435713\n",
"52 0.435713\n",
"53 0.435713\n",
"54 0.511064\n",
"Name: Value, dtype: float64"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"my_heart = my_heart.apply(lambda x : (x - mean) / std)\n",
"my_heart"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"features = []\n",
"y = []\n",
"\n",
"window_size = 30\n",
"predicted_size = 1\n",
"\n",
"for i in range(my_heart.shape[0] - window_size - predicted_size):\n",
" features.append(my_heart[i:i+window_size])\n",
" y.append(my_heart[i+ window_size])\n",
"features, y = np.array(features), np.array(y)\n",
"features = np.reshape(features, (features.shape[0], features.shape[1], 1))"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((24, 30, 1), (24,))"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"features.shape,y.shape"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"predicted_my_heart = model.predict(features)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1440x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (20,4))\n",
"plt.plot(predicted_my_heart[1:],color='red', label='prediction')\n",
"plt.plot(y[:-1],color='blue', label='y_test')\n",
"plt.legend(loc='upper left')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"predicted_my_heart = predicted_my_heart.reshape(predicted_my_heart.shape[0])"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.9430232216906873\n"
]
}
],
"source": [
"from scipy.stats import pearsonr\n",
"print(pearsonr(predicted_my_heart[1:],y[:-1])[0])"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"adjusted_predicted = (predicted_my_heart * std ) + mean\n",
"adjusted_predicted = adjusted_predicted.reshape((adjusted_predicted.shape[0])).tolist()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[74.55339050292969,\n",
" 74.37728118896484,\n",
" 73.9949951171875,\n",
" 73.55652618408203,\n",
" 73.23191833496094,\n",
" 73.34298706054688,\n",