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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"There are high correlation between values.","metadata":{}},{"cell_type":"code","source":"### Data visualization with respect to session lengths\n\nimport matplotlib.pyplot as plt\nfig = plt.figure(figsize=(17, 5))\ngrpd = df.groupby(['profile_id'])\n_df = grpd.size().sort_values().rename('samples').reset_index()\nordered_ids = _df.profile_id.values.tolist()\nsns.barplot(y='samples', x='profile_id', data=_df, order=ordered_ids)\ntcks = plt.yticks(2*3600*np.arange(1, 8), [f'{a} hrs' for a in range(1, 8)]) # 2Hz sample rate","metadata":{"execution":{"iopub.status.busy":"2023-01-20T16:52:47.977530Z","iopub.execute_input":"2023-01-20T16:52:47.977865Z","iopub.status.idle":"2023-01-20T16:52:49.310901Z","shell.execute_reply.started":"2023-01-20T16:52:47.977821Z","shell.execute_reply":"2023-01-20T16:52:49.310067Z"},"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"##visualizing the data time series data\n\ndef pick_equidistant_elems(m, n):\n \"\"\"From a set of n elements, pick m which have equal distance to each other\"\"\"\n return [i*n//m + n//(2*m) for i in range(m)]\n\ntarget_features = ['pm', 'stator_tooth', 'stator_yoke', 'stator_winding']\nids_to_plot = np.asarray(ordered_ids)[pick_equidistant_elems(6, len(ordered_ids))]\nfig2 = plt.figure(figsize=(17, 10))\ncols = len(ids_to_plot)\nfor i, (sess_id, _df) in enumerate([g for g in grpd if g[0] in ids_to_plot]):\n _df = _df.reset_index(drop=True)\n plt.subplot(4, cols, i+1)\n plt.xticks([])\n for target in target_features:\n plt.plot(_df[target], label=target)\n if i == 0:\n plt.legend(loc='upper right', bbox_to_anchor=(-0.2, 1.0))\n plt.subplot(4, cols, i+1+cols)\n plt.plot(_df['motor_speed'], color='green', label='motor_speed')\n plt.xticks([])\n if i == 0:\n plt.legend(loc='upper right', bbox_to_anchor=(-0.2, 1.0))\n plt.subplot(4, cols, i+1+cols*2)\n plt.plot(_df['torque'], color='yellow', label='torque')\n plt.xticks([])\n if i == 0:\n plt.legend(loc='upper right', bbox_to_anchor=(-0.2, 1.0))\n plt.subplot(4, cols, i+1+cols*3)\n plt.plot(_df['coolant'], color='cyan', label='coolant')\n k = int(len(_df)> 4*3600) + 1\n plt.xticks(_df['coolant'].index.values[::k*3600], _df.coolant.index.values[::k*3600] / (2*3600))\n plt.xlabel('time in hours')\n if i == 0:\n plt.legend(loc='upper right', bbox_to_anchor=(-0.2, 1.0))\n \nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2023-01-20T16:55:36.054578Z","iopub.execute_input":"2023-01-20T16:55:36.055011Z","iopub.status.idle":"2023-01-20T16:55:39.671353Z","shell.execute_reply.started":"2023-01-20T16:55:36.054952Z","shell.execute_reply":"2023-01-20T16:55:39.670325Z"},"trusted":true},"execution_count":11,"outputs":[{"output_type":"display_data","data":{"text/plain":"
"},"metadata":{}}]},{"cell_type":"code","source":"from sklearn.linear_model import LinearRegression\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import PolynomialFeatures\nfrom sklearn.metrics import r2_score,mean_squared_error","metadata":{"execution":{"iopub.status.busy":"2023-01-20T07:19:05.505880Z","iopub.execute_input":"2023-01-20T07:19:05.506379Z","iopub.status.idle":"2023-01-20T07:19:05.511341Z","shell.execute_reply.started":"2023-01-20T07:19:05.506323Z","shell.execute_reply":"2023-01-20T07:19:05.510771Z"},"trusted":true},"execution_count":22,"outputs":[]},{"cell_type":"markdown","source":" MULTIPLE LINEAR REGRESSION","metadata":{}},{"cell_type":"code","source":"x_train,x_test,y_train,y_test = train_test_split(df_x,df_y, test_size=0.33,random_state = 0)\nlr = LinearRegression().fit(x_train,y_train)\n\ny_train_pred = lr.predict(x_train)\ny_test_pred = lr.predict(x_test)\n\nprint('Multiple Linear Regression Score : ',lr.score(x_test,y_test))","metadata":{"execution":{"iopub.status.busy":"2023-01-20T07:19:09.595145Z","iopub.execute_input":"2023-01-20T07:19:09.595694Z","iopub.status.idle":"2023-01-20T07:19:09.951596Z","shell.execute_reply.started":"2023-01-20T07:19:09.595600Z","shell.execute_reply":"2023-01-20T07:19:09.950029Z"},"trusted":true},"execution_count":23,"outputs":[{"name":"stdout","text":"Multiple Linear Regression Score : 0.9148721558748629\n","output_type":"stream"}]},{"cell_type":"code","source":"#Multiple Linear Regression\n#Fitting simple linear regression to the training set\n\nfrom sklearn.linear_model import LinearRegression\nregressor=LinearRegression()\nregressor.fit(x_train,y_train)\n\n#Predicting the test set results\ny_pred=regressor.predict(x_test)\n\n#Building the optimal model using Backward Elimination\nimport statsmodels.api as sm\nX=np.append(arr=np.ones((1330816,1)).astype(int), values=df_x, axis=1)\nX_opt=X[:,[0,1,2,3,4,5,6]]\nregressor_OLS=sm.OLS(endog=df_y, exog=X_opt).fit()\nregressor_OLS.summary()","metadata":{"execution":{"iopub.status.busy":"2023-01-20T07:19:39.989875Z","iopub.execute_input":"2023-01-20T07:19:39.990244Z","iopub.status.idle":"2023-01-20T07:19:40.702238Z","shell.execute_reply.started":"2023-01-20T07:19:39.990179Z","shell.execute_reply":"2023-01-20T07:19:40.701511Z"},"trusted":true},"execution_count":25,"outputs":[{"execution_count":25,"output_type":"execute_result","data":{"text/plain":"\n\"\"\"\n OLS Regression Results \n==============================================================================\nDep. Variable: motor_speed R-squared: 0.709\nModel: OLS Adj. R-squared: 0.709\nMethod: Least Squares F-statistic: 5.412e+05\nDate: Fri, 20 Jan 2023 Prob (F-statistic): 0.00\nTime: 07:19:40 Log-Likelihood: -1.1085e+07\nNo. Observations: 1330816 AIC: 2.217e+07\nDf Residuals: 1330809 BIC: 2.217e+07\nDf Model: 6 \nCovariance Type: nonrobust \n==============================================================================\n coef std err t P>|t| [0.025 0.975]\n------------------------------------------------------------------------------\nconst 4423.7769 13.960 316.884 0.000 4396.415 4451.138\nx1 26.8359 0.027 976.349 0.000 26.782 26.890\nx2 -18.7068 0.097 -192.259 0.000 -18.898 -18.516\nx3 0.5387 0.008 71.217 0.000 0.524 0.554\nx4 -105.6934 0.597 -176.978 0.000 -106.864 -104.523\nx5 -30.6065 0.063 -488.664 0.000 -30.729 -30.484\nx6 27.3321 0.020 1364.784 0.000 27.293 27.371\n==============================================================================\nOmnibus: 93152.979 Durbin-Watson: 0.003\nProb(Omnibus): 0.000 Jarque-Bera (JB): 130656.677\nSkew: 0.604 Prob(JB): 0.00\nKurtosis: 3.948 Cond. No. 2.09e+03\n==============================================================================\n\nWarnings:\n[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n[2] The condition number is large, 2.09e+03. This might indicate that there are\nstrong multicollinearity or other numerical problems.\n\"\"\"","text/html":"
\n
OLS Regression Results
\n
\n
Dep. Variable:
motor_speed
R-squared:
0.709
\n
\n
\n
Model:
OLS
Adj. R-squared:
0.709
\n
\n
\n
Method:
Least Squares
F-statistic:
5.412e+05
\n
\n
\n
Date:
Fri, 20 Jan 2023
Prob (F-statistic):
0.00
\n
\n
\n
Time:
07:19:40
Log-Likelihood:
-1.1085e+07
\n
\n
\n
No. Observations:
1330816
AIC:
2.217e+07
\n
\n
\n
Df Residuals:
1330809
BIC:
2.217e+07
\n
\n
\n
Df Model:
6
\n
\n
\n
Covariance Type:
nonrobust
\n
\n
\n
\n
\n
coef
std err
t
P>|t|
[0.025
0.975]
\n
\n
\n
const
4423.7769
13.960
316.884
0.000
4396.415
4451.138
\n
\n
\n
x1
26.8359
0.027
976.349
0.000
26.782
26.890
\n
\n
\n
x2
-18.7068
0.097
-192.259
0.000
-18.898
-18.516
\n
\n
\n
x3
0.5387
0.008
71.217
0.000
0.524
0.554
\n
\n
\n
x4
-105.6934
0.597
-176.978
0.000
-106.864
-104.523
\n
\n
\n
x5
-30.6065
0.063
-488.664
0.000
-30.729
-30.484
\n
\n
\n
x6
27.3321
0.020
1364.784
0.000
27.293
27.371
\n
\n
\n
\n
\n
Omnibus:
93152.979
Durbin-Watson:
0.003
\n
\n
\n
Prob(Omnibus):
0.000
Jarque-Bera (JB):
130656.677
\n
\n
\n
Skew:
0.604
Prob(JB):
0.00
\n
\n
\n
Kurtosis:
3.948
Cond. No.
2.09e+03
\n
\n
Warnings: [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. [2] The condition number is large, 2.09e+03. This might indicate that there are strong multicollinearity or other numerical problems."},"metadata":{}}]},{"cell_type":"markdown","source":" POLYNOMIAL REGRESSION","metadata":{}},{"cell_type":"code","source":"quad = PolynomialFeatures (degree = 2)\nx_quad = quad.fit_transform(df_x)\n\nX_train,X_test,Y_train,Y_test = train_test_split(x_quad,df_y, random_state = 0)\n\nplr = LinearRegression().fit(X_train,Y_train)\n\nY_train_pred = plr.predict(X_train)\nY_test_pred = plr.predict(X_test)\n\nprint('Polynomial Linear Regression:' ,plr.score(X_test,Y_test))","metadata":{"execution":{"iopub.status.busy":"2023-01-20T07:19:56.331199Z","iopub.execute_input":"2023-01-20T07:19:56.331494Z","iopub.status.idle":"2023-01-20T07:19:58.584807Z","shell.execute_reply.started":"2023-01-20T07:19:56.331452Z","shell.execute_reply":"2023-01-20T07:19:58.582887Z"},"trusted":true},"execution_count":26,"outputs":[{"name":"stdout","text":"Polynomial Linear Regression: 0.9845822816822253\n","output_type":"stream"}]},{"cell_type":"code","source":"import seaborn as sns\n\nax1 = sns.distplot(df_y, hist=False, color=\"r\", label=\"Actual Value\")\nsns.distplot(y_pred, hist=False, color=\"b\", label=\"Fitted Values\" , ax=ax1)","metadata":{"execution":{"iopub.status.busy":"2023-01-20T07:20:02.818465Z","iopub.execute_input":"2023-01-20T07:20:02.818798Z","iopub.status.idle":"2023-01-20T07:20:03.326160Z","shell.execute_reply.started":"2023-01-20T07:20:02.818737Z","shell.execute_reply":"2023-01-20T07:20:03.325506Z"},"trusted":true},"execution_count":27,"outputs":[{"execution_count":27,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"