{"paragraphs":[{"text":"%spark.pyspark\n\ndef isSick(x):\n if x in (3,7):\n return 0\n else:\n return 1\n \n \nimport pandas as pd\nfrom pyspark.sql.types import StructType, StructField, NumericType\n\n \ncols = ('age', \n 'sex', \n 'chest pain', \n 'resting blood pressure', \n 'serum cholestoral', \n 'fasting blood sugar', \n 'resting electrocardiographic results', \n 'maximum heart rate achieved', \n 'exercise induced angina', \n 'ST depression induced by exercise relative to rest', \n 'the slope of the peak exercise ST segment', \n 'number of major vessels ', \n 'thal', \n 'last')\n \n\n \ndata = pd.read_csv('/home/ubuntu/Downloads/heart.csv', delimiter=' ', names=cols)\n\ndata['isSick'] = data['thal'].apply(isSick)\n\nrowCount = data['age'].count()\nids = np.arange(1,rowCount+1,1)\ndata['id'] = ids \n\n\n \n\n\n\ndf = spark.createDataFrame(data)\n\n\nfrom pyspark.ml.feature import VectorAssembler\n\nfeatures = ('age', \n 'sex', \n 'chest pain', \n 'resting blood pressure', \n 'serum cholestoral', \n 'fasting blood sugar', \n 'resting electrocardiographic results', \n 'maximum heart rate achieved', \n 'exercise induced angina', \n 'ST depression induced by exercise relative to rest', \n 'the slope of the peak exercise ST segment', \n 'number of major vessels ') \n \n \n\nassembler = VectorAssembler(inputCols=features,outputCol=\"features\")\n\ndataset=assembler.transform(df)\ndataset.select(\"features\").show(truncate=False)\n\n\n\n\n ","user":"walker","dateUpdated":"2019-10-15T15:01:56+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/python","editorHide":false},"settings":{"params":{},"forms":{}},"runtimeInfos":{"jobUrl":{"propertyName":"jobUrl","label":"SPARK JOB","tooltip":"View in Spark web UI","group":"spark","values":["http://parisx:4040/jobs/job?id=694"],"interpreterSettingId":"spark"}},"apps":[],"jobName":"paragraph_1571136880256_575042123","id":"20191015-105440_1005675756","dateCreated":"2019-10-15T10:54:40+0000","dateStarted":"2019-10-15T14:34:20+0000","dateFinished":"2019-10-15T14:34:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"focus":true,"$$hashKey":"object:42981","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"+--------------------------------------------------------+\n|features |\n+--------------------------------------------------------+\n|[70.0,1.0,4.0,130.0,322.0,0.0,2.0,109.0,0.0,2.4,2.0,3.0]|\n|[67.0,0.0,3.0,115.0,564.0,0.0,2.0,160.0,0.0,1.6,2.0,0.0]|\n|[57.0,1.0,2.0,124.0,261.0,0.0,0.0,141.0,0.0,0.3,1.0,0.0]|\n|[64.0,1.0,4.0,128.0,263.0,0.0,0.0,105.0,1.0,0.2,2.0,1.0]|\n|[74.0,0.0,2.0,120.0,269.0,0.0,2.0,121.0,1.0,0.2,1.0,1.0]|\n|[65.0,1.0,4.0,120.0,177.0,0.0,0.0,140.0,0.0,0.4,1.0,0.0]|\n|[56.0,1.0,3.0,130.0,256.0,1.0,2.0,142.0,1.0,0.6,2.0,1.0]|\n|[59.0,1.0,4.0,110.0,239.0,0.0,2.0,142.0,1.0,1.2,2.0,1.0]|\n|[60.0,1.0,4.0,140.0,293.0,0.0,2.0,170.0,0.0,1.2,2.0,2.0]|\n|[63.0,0.0,4.0,150.0,407.0,0.0,2.0,154.0,0.0,4.0,2.0,3.0]|\n|[59.0,1.0,4.0,135.0,234.0,0.0,0.0,161.0,0.0,0.5,2.0,0.0]|\n|[53.0,1.0,4.0,142.0,226.0,0.0,2.0,111.0,1.0,0.0,1.0,0.0]|\n|[44.0,1.0,3.0,140.0,235.0,0.0,2.0,180.0,0.0,0.0,1.0,0.0]|\n|[61.0,1.0,1.0,134.0,234.0,0.0,0.0,145.0,0.0,2.6,2.0,2.0]|\n|[57.0,0.0,4.0,128.0,303.0,0.0,2.0,159.0,0.0,0.0,1.0,1.0]|\n|[71.0,0.0,4.0,112.0,149.0,0.0,0.0,125.0,0.0,1.6,2.0,0.0]|\n|[46.0,1.0,4.0,140.0,311.0,0.0,0.0,120.0,1.0,1.8,2.0,2.0]|\n|[53.0,1.0,4.0,140.0,203.0,1.0,2.0,155.0,1.0,3.1,3.0,0.0]|\n|[64.0,1.0,1.0,110.0,211.0,0.0,2.0,144.0,1.0,1.8,2.0,0.0]|\n|[40.0,1.0,1.0,140.0,199.0,0.0,0.0,178.0,1.0,1.4,1.0,0.0]|\n+--------------------------------------------------------+\nonly showing top 20 rows\n\n"}]}},{"text":"%spark.pyspark\n\nfrom pyspark.ml.evaluation import ClusteringEvaluator\nfrom pyspark.ml.clustering import KMeans\n\n# Trains a k-means model.\nkmeans = KMeans().setK(2).setSeed(1)\nmodel = kmeans.fit(dataset)\n\n# Make predictions\npredictions = model.transform(dataset)\n\n# Evaluate clustering by computing Silhouette score\nevaluator = ClusteringEvaluator()\n\nsilhouette = evaluator.evaluate(predictions)\nprint(\"Silhouette with squared euclidean distance = \" + str(silhouette))\n\n\n# Evaluate clustering.\ncost = model.computeCost(dataset)\nprint(\"Within Set Sum of Squared Errors = \" + str(cost))\n\n# Shows the result.\nprint(\"Cluster Centers: \")\nctr=[]\ncenters = model.clusterCenters()\nfor center in centers:\n ctr.append(center)\n print(center)","user":"walker","dateUpdated":"2019-10-15T15:05:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/python","editorHide":false},"settings":{"params":{},"forms":{}},"runtimeInfos":{"jobUrl":{"propertyName":"jobUrl","label":"SPARK JOB","tooltip":"View in Spark web UI","group":"spark","values":["http://parisx:4040/jobs/job?id=695","http://parisx:4040/jobs/job?id=696","http://parisx:4040/jobs/job?id=697","http://parisx:4040/jobs/job?id=698","http://parisx:4040/jobs/job?id=699","http://parisx:4040/jobs/job?id=700","http://parisx:4040/jobs/job?id=701","http://parisx:4040/jobs/job?id=702","http://parisx:4040/jobs/job?id=703","http://parisx:4040/jobs/job?id=704","http://parisx:4040/jobs/job?id=705","http://parisx:4040/jobs/job?id=706","http://parisx:4040/jobs/job?id=707","http://parisx:4040/jobs/job?id=708","http://parisx:4040/jobs/job?id=709","http://parisx:4040/jobs/job?id=710","http://parisx:4040/jobs/job?id=711"],"interpreterSettingId":"spark"}},"apps":[],"jobName":"paragraph_1571136486661_-828185129","id":"20191015-104806_2053176753","dateCreated":"2019-10-15T10:48:06+0000","dateStarted":"2019-10-15T14:34:53+0000","dateFinished":"2019-10-15T14:34:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:42982","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Silhouette with squared euclidean distance = 0.5702065126840549\nWithin Set Sum of Squared Errors = 548301.9823949672\nCluster Centers: \n[5.68235294e+01 5.68627451e-01 3.25490196e+00 1.35803922e+02\n 3.00078431e+02 1.47058824e-01 1.18627451e+00 1.45225490e+02\n 4.01960784e-01 1.09705882e+00 1.59803922e+00 8.23529412e-01]\n[5.29821429e+01 7.44047619e-01 3.12500000e+00 1.28636905e+02\n 2.19047619e+02 1.48809524e-01 9.22619048e-01 1.52380952e+02\n 2.85714286e-01 1.02142857e+00 1.57738095e+00 5.77380952e-01]\n"}]}},{"text":"%spark.pyspark\ndf = df.join(predictions,'id')","user":"walker","dateUpdated":"2019-10-15T14:31:29+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/python","editorHide":true},"settings":{"params":{},"forms":{}},"apps":[],"jobName":"paragraph_1571141503663_-578140090","id":"20191015-121143_1851270955","dateCreated":"2019-10-15T12:11:43+0000","dateStarted":"2019-10-15T14:31:29+0000","dateFinished":"2019-10-15T14:31:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:42984","results":{"code":"SUCCESS","msg":[]}},{"text":"%spark.pyspark\npandasDF=predictions.toPandas()\ncenters = pd.DataFrame(ctr,columns=features)","user":"walker","dateUpdated":"2019-10-15T15:17:35+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/python","editorHide":false},"settings":{"params":{},"forms":{}},"runtimeInfos":{"jobUrl":{"propertyName":"jobUrl","label":"SPARK JOB","tooltip":"View in Spark web UI","group":"spark","values":["http://parisx:4040/jobs/job?id=713"],"interpreterSettingId":"spark"}},"apps":[],"jobName":"paragraph_1571143587291_-1040112794","id":"20191015-124627_1831262866","dateCreated":"2019-10-15T12:46:27+0000","dateStarted":"2019-10-15T15:17:35+0000","dateFinished":"2019-10-15T15:17:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:42985","results":{"code":"SUCCESS","msg":[]}},{"text":"%spark.pyspark\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\n\n \nfig = plt.figure(figsize=(10,10))\nax = fig.add_subplot(111, projection='3d')\nax = plt.axes(projection = '3d')\nax.scatter(pandasDF['serum cholestoral'],pandasDF['fasting blood sugar'],pandasDF['chest pain'],c=pandasDF['prediction'], cmap='viridis',\n edgecolor='k', s=40, alpha = 0.5)\nax.set_xlabel('serum cholestoral')\nax.set_ylabel('fasting blood sugar')\nax.set_zlabel('chest pain')\n\nax.scatter(centers['serum cholestoral'],centers['fasting blood sugar'],centers['chest pain'], \n s = 300, c = 'r', marker='*', label = 'Centroid')\n \n\n \nplt.autoscale(enable=True, axis='x', tight=True) \n\nplt.show()\n \n\n","user":"walker","dateUpdated":"2019-10-15T15:18:12+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/python","editorHide":false},"settings":{"params":{},"forms":{}},"apps":[],"jobName":"paragraph_1571143789964_1379394439","id":"20191015-124949_1262483516","dateCreated":"2019-10-15T12:49:49+0000","dateStarted":"2019-10-15T15:18:12+0000","dateFinished":"2019-10-15T15:18:12+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:42986","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"
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5.68627451e-01, 3.25490196e+00, 1.35803922e+02,\n 3.00078431e+02, 1.47058824e-01, 1.18627451e+00, 1.45225490e+02,\n 4.01960784e-01, 1.09705882e+00, 1.59803922e+00, 8.23529412e-01]),\n array([5.29821429e+01, 7.44047619e-01, 3.12500000e+00, 1.28636905e+02,\n 2.19047619e+02, 1.48809524e-01, 9.22619048e-01, 1.52380952e+02,\n 2.85714286e-01, 1.02142857e+00, 1.57738095e+00, 5.77380952e-01])]"}]}},{"text":"%spark.pyspark\ncenters['serum cholestoral']","user":"walker","dateUpdated":"2019-10-15T15:17:24+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"apps":[],"jobName":"paragraph_1571152229144_-376089258","id":"20191015-151029_2136560901","dateCreated":"2019-10-15T15:10:29+0000","status":"ERROR","progressUpdateIntervalMs":500,"focus":true,"$$hashKey":"object:45469","dateFinished":"2019-10-15T15:17:24+0000","dateStarted":"2019-10-15T15:17:24+0000","results":{"code":"ERROR","msg":[{"type":"TEXT","data":"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)\n\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcenters\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'serum cholestoral'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\n\u001b[0;31mTypeError\u001b[0m: tuple indices must be integers or slices, not str"}]}},{"text":"%spark.pyspark\npredictions.columns","user":"walker","dateUpdated":"2019-10-15T15:13:45+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"apps":[],"jobName":"paragraph_1571152324977_2101170545","id":"20191015-151204_689046143","dateCreated":"2019-10-15T15:12:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"focus":true,"$$hashKey":"object:45567","dateFinished":"2019-10-15T15:13:45+0000","dateStarted":"2019-10-15T15:13:45+0000","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"['age',\n 'sex',\n 'chest pain',\n 'resting blood pressure',\n 'serum cholestoral',\n 'fasting blood sugar',\n 'resting electrocardiographic results',\n 'maximum heart rate achieved',\n 'exercise induced angina',\n 'ST depression induced by exercise relative to rest',\n 'the slope of the peak exercise ST segment',\n 'number of major vessels ',\n 'thal',\n 'last',\n 'isSick',\n 'id',\n 'features',\n 'prediction']"}]}},{"text":"%spark.pyspark\n","user":"walker","dateUpdated":"2019-10-15T15:12:13+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"apps":[],"jobName":"paragraph_1571152333238_1943964324","id":"20191015-151213_1965849297","dateCreated":"2019-10-15T15:12:13+0000","status":"READY","progressUpdateIntervalMs":500,"focus":true,"$$hashKey":"object:45642"}],"name":"Bisecting k-means","id":"2EPSNACTF","noteParams":{},"noteForms":{},"angularObjects":{"python:shared_process":[],"spark:shared_process":[]},"config":{"isZeppelinNotebookCronEnable":false,"looknfeel":"default","personalizedMode":"false"},"info":{}}