次の例は、 submitTrainingJob() メソッドを使用して送信されたアクティブなトレーニングジョブをキャンセルする方法を示しています。

var myCluster = new sn_ml.ClusteringSolutionStore.get("ml_x_snc_global_global_clustering_solution");
var mlSolutionVersion = myCluster.getActiveVersion();

mlSolutionVersion.cancelUpdateJob();

{ "updatedUntil" : "String" }

{ "sequenceUntil" : Number }

次の例は、 updated_since 時間が 「2020-06-28 02:50:53」より前のクラスターの行を削除する方法を示しています。

var mlSolution = sn_ml.ClusteringSolutionStore.get("ml_x_snc_global_global_clustering_solution");

var mlSolutionVersion = mlSolution.getActiveVersion();

var options = {};
options.updatedUntil = '2020-06-28 02:50:53';

var results = mlSolutionVersion.deleteClusterAssignments(options);

gs.print("Number of deleted rows: "+results);

出力：

Number of deleted rows: 6417

次の例は、1000 より前に順番に配置されたupdated_sinceを持つクラスターの行を削除する方法を示しています。

var mlSolution = sn_ml.ClusteringSolutionStore.get("ml_x_snc_global_global_clustering_solution");

var mlSolutionVersion = mlSolution.getActiveVersion();

var options = {};
options.sequenceUntil = 1000;

var results = mlSolutionVersion.deleteClusterAssignments(options);

gs.print("Number of deleted rows: "+results);

出力：

Number of deleted rows: 999

{
     "cluster_id": "String",
     "group_by": "String",
     "limit": Number,
     "sequenceSince": Number,
     "sequenceUntil": Number,
     "topNPerCluster": Number,
     "updatedSince": "String",
     "updatedUntil": "String"
}

[
    {
       "cluster_id": "String",
       "group_by": "String",
       "rec_display_id": "String",
       "rec_sys_id": "String"
     }
]

次の例は、 options オブジェクトを使用してクラスタリング結果をフィルタリングする方法を示しています。

var mlSolution = sn_ml.ClusteringSolutionStore.get("solution_name");

var mlSolutionVersion = mlSolution.getActiveVersion();

var options = {};
options.clusterId = 56;
options.topNPerCluster = 10;
options.updatedUntil = '2020-01-17 23:16:14'; 
options.updatedSince = '2020-01-17 23:16:13'; 
options.sequenceUntil = 1000; 
options.sequenceSince = 1100; 
options.limit = 100;

var results = mlSolutionVersion.getClusterAssignments(options)

gs.print(results);

出力：

[{"cluster_id":"1","rec_display_id":"Incident": "INC0014483","rec_sys_id":"04e33e7adb401300864adfea5e961900","group_by":"network"},
 {"cluster_id":"1","rec_display_id":"Incident": "INC0011133","rec_sys_id":"5bd23af2db401300864adfea5e96194d","group_by":"network"}]

{
  "clusterId": "String",     
  "groupBy": "String",
  "limit": "String",
  "recSysId": "String",
  "sequenceSince": Number,
  "sequenceUntil": Number,
  "updatedSince": "String",
  "updatedUntil": "String"
}

[
  {   
    "cluster_concept": "String",
    "cluster_id": "String",
    "cluster_quality": "String",
    "cluster_size": "String",
    "group_by": "String",
    "insert_sequence": "String",
    "purity": "String",
    "sys_updated_on": "String"
  }
]

次の例は、options オブジェクトパラメーターを設定し、フィルタリングされたクラスター結果を出力する方法を示しています。

var mlSolution = sn_ml.ClusteringSolutionStore.get("ml_x_snc_global_global_clustering_solution");

var mlSolutionVersion = mlSolution.getActiveVersion();

var options = {};
options.updatedSince = '2020-05-28 02:09:53'; 
options.updatedUntil = '2020-05-28 03:15:00';
options.sequenceSince = 1;
options.limit = 10;

var results = mlSolutionVersion.getClusterInfo(options);

gs.print(JSON.stringify(JSON.parse(results), null, 2));

出力：

[
  {
    "cluster_id": "1",
    "cluster_quality": "100",
    "cluster_size": "17",
    "purity": "",
    "insert_sequence": "8",
    "group_by": "VPN   Customer",
    "sys_updated_on": "2020-05-28 02:09:53",
    "cluster_concept": "vpn instance connection ldap user log unable usability tunnel"
  },
  {
    "cluster_id": "1",
    "cluster_quality": "100",
    "cluster_size": "10",
    "purity": "",
    "insert_sequence": "24",
    "group_by": "Live Feed",
    "sys_updated_on": "2020-05-28 02:09:53",
    "cluster_concept": "feed live user note work disable group default usability sort"
  },
  {
    "cluster_id": "1",
    "cluster_quality": "100",
    "cluster_size": "18",
    "purity": "",
    "insert_sequence": "40",
    "group_by": "Integrations",
    "sys_updated_on": "2020-05-28 02:09:53",
    "cluster_concept": "integrate usability certificate error"
  },
...
]

{
  "algorithmConfig": {Object},
  "datasetProperties": {Object},
  "domainName": "String",
  "groupByFieldName": "String", 
  "inputFieldNames": [Array],
  "isActive": Boolean,
  "label": "String",
  "minRecordsPerCluster": Number,
  "name": "String",
  "processingLanguage": "String",
  "scope": "String",
  "stopwords": [Array],
  "trainingFrequency": "String",
  "updateFrequency": "String",
  "versionNumber": Number
}

'algorithmConfig' : {
  "algorithm": "String",  
  // See algorithmConfig.algorithm setting description for property settings based on algorithm
}

'algorithmConfig': {
  "algorithm": "dbscan",
  "distanceMetric": "String",
  "epsilon": Number,
  "minimumNeighbours": Number
}

'algorithmConfig': {
  "algorithm": "kmeans",
  "targetCoverage": Number
}

{
  "encodedQuery": "String",
  "fieldDetails": [Array],
  "fieldNames": [Array],
  "tableName": "String"
}

[
  {
    "name": "String",
    "type": "String"
  }
]

{
  "label": "my first prediction"
}

次の例では、ストア内のアクティブなオブジェクトバージョンのプロパティを取得します。

// Get properties
var mlSolution = sn_ml.ClusteringSolutionStore.get('ml_x_snc_global_global_clustering_solution');

gs.print(JSON.stringify(JSON.parse(mlSolution.getActiveVersion().getProperties()), null, 2));

出力：

*** Script: {
  "algorithmConfig": {
    "algorithm": "kmeans",
    "targetCoverage": "90"
  },
  "datasetProperties": {
    "tableName": "incident",
    "fieldNames": [
      "category",
      "short_description",
      "state",
      "description"
    ],
    "encodedQuery": "activeANYTHING"
  },
  "domainName": "global",
  "groupByFieldName": "category",
  "inputFieldNames": [
    "short_description"
  ],
  "isActive": "true",
  "label": "clustering solution",
  "minRecordsPerCluster": 2,
  "name": "ml_x_snc_global_global_clustering_solution",
  "processingLanguage": "en",
  "stopwords": [
    "Default English Stopwords"
  ],
  "updateFrequency": "do_not_update",
  "versionNumber": "1"
}

{
  "state": "String",
  "percentComplete": "Number as a String",
  "hasJobEnded": "Boolean value as a String",
  "details": {Object}
}

次の例は、トレーニングが完了した正常な結果を示しています。

// Get status
var mlSolution = sn_ml.ClusteringSolutionStore.get('ml_x_snc_global_global_cluster_solution');

gs.print(JSON.stringify(JSON.parse(mlSolution.getActiveVersion().getStatus(true), null, 2)));

出力：

{
 "state":"solution_complete",
 "percentComplete":"100",
 "hasJobEnded":"true",
 "details":{"stepLabel":"Solution Complete"} // This information is only returned if getStatus(true);
}

次の例は、トレーニング完了の失敗の結果を示しています。

// Get status
var solutionName = 'ml_x_snc_global_global_cluster_solution';
var mlSolution = sn_ml.ClusteringSolutionStore.get(solutionName);
var trainingStatus = mlSolution.getLatestVersion().getStatus();

gs.print(JSON.stringify(JSON.parse(trainingStatus), null, 2));

出力：

{
 "state":"solution_error",
 "percentComplete":"100",
 "hasJobEnded":"true"
}

{
  "clusterIds": [Array],
  "groupBy": [Array],
  "purityFields": [Array],
  "topN": Number,
  "topNFields": Number
}

{
  "<clusterID>":[
    // List sorted by purity per field
    { "<fieldName>":[
      // List sorted by purity per field value
      {"<field_val1_1>":"<purity>"},
        // Additional field values
    ]},
    // Additional fields
  ],	  
  // Additional clusters
}

"<field>":[{"<field_val>":"<purity>"}]}

次の例は、特定のクラスターソリューションのカテゴリフィールドの上位 2 つの純度結果を取得する方法を示しています。

var solution = new GlideRecord('ml_solution');
solution.addQuery('sys_id', '<clustering_solution_sys_id>');
solution.addQuery('active', 'true');
solution.query();

while (solution.next()) {

  var options = {};
  options.clusterIds = ['1', '3', '5'];
  options.purityFields = ['category'];
  options.topN = '2';
  options.topNFields = '2';

  var clustering = new sn_ml.ClusteringSolutionVersion(solution);
  var results = clustering.getTopNPurityInfo(options);

  gs.info(results);
}

出力には、オプションパラメーターで指定された設定に基づいて純度のインサイトが表示されます。

{"1":[{"category":[{"network":"99.96"},{"inquiry":"0.04"}]}],"3":[{"category":[{"Systems Engineering":"100"}]}],
"5":[{"category":[{"Security":"100"}]}]}

次の例は、クラスタリングソリューションの更新ステータスを取得する方法を示しています。

var myCluster = new sn_ml.ClusteringSolutionStore.get("ml_x_snc_global_global_clustering_solution");

gs.print(JSON.stringify(myCluster.getActiveVersion().getUpdateStatus()));

出力：

"Update Complete"

次の例は、バージョン番号を取得する方法を示しています。

// Get version number
var mlSolution = sn_ml.ClusteringSolutionStore.get('ml_x_snc_global_global_clustering_solution');

gs.print("Version number: "+JSON.stringify(JSON.parse(mlSolution.getActiveVersion().getVersionNumber()), null, 2));

出力：

Version number: 1

{
        "filter" : "String",
        "table" : "String"
    }

次の例は、更新ジョブを送信する方法を示しています。

var myCluster = new sn_ml.ClusteringSolutionStore.get("ml_x_snc_global_global_clustering_solution");

var options = {"filter" : "precision", "table" : "incident"};

myCluster.getActiveVersion().submitUpdateJob(options);