Packages

class DateTimeProject extends Project

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Project, AnyRef, Any
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  1. DateTimeProject
  2. Project
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Instance Constructors

  1. new DateTimeProject(id: String, projectName: String, fileName: String, stage: String, autopilotMode: Option[Double], created: String, target: Option[String], metric: Option[String], partition: Option[Partition], recommender: Option[Recommender], advancedOptions: Option[AdvancedOptions], positiveClass: Option[Double], maxTrainPct: Option[Double], maxTrainRows: Option[Double], scaleoutMaxTrainPct: Option[Double], scaleoutMaxTrainRows: Option[Double], holdoutUnlocked: Boolean = false, targetType: Option[String])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. var advancedOptions: Option[AdvancedOptions]
    Definition Classes
    Project
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. var autopilotMode: Option[Double]
    Definition Classes
    Project
  7. def clone(newProjectName: String, maxWait: Int = 60000)(implicit client: DataRobotClient): Project

    newProjectName

    Name of returns project

    maxWait

    Max wait time

    returns

    Returns a copy (post-EDA1) copy of the project.

    Definition Classes
    Project
    To do

    add maxWait appropriate to request happening behind the scenes.

  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  9. def createBlender(models: List[Model], blenderMethod: enums.BlenderMethod.Value)(implicit client: DataRobotClient): ModelJob

    models

    list of io.github.timsetsfire.datarobot.Model to use for blending

    blenderMethod

    one of io.github.timsetsfire.datarobot.enums.BlenderMethod

    returns

    Returns io.github.timsetsfire.datarobot.ModelJob for the requested blender

    Definition Classes
    Project
  10. def createFeaturelist(name: String, features: List[String])(implicit client: DataRobotClient): Featurelist

    Create feature list within a project.

    Create feature list within a project. see also io.github.timsetsfire.datarobot.Featurelist.createFeaturelist

    name

    Name for new featurelist

    features

    List of feature names to include in list

    returns

    new feature list object io.github.timsetsfire.datarobot.Featurelist

    Definition Classes
    Project
  11. def createModelingFeaturelist(): Nothing
  12. val created: String
    Definition Classes
    Project
  13. def delete()(implicit client: DataRobotClient): HttpResponse[String]

    returns

    Returns Unit. Deletes projects

    Definition Classes
    Project
  14. def deleteFeaturelist(featurelistId: String)(implicit cleint: DataRobotClient): HttpResponse[String]
    Definition Classes
    Project
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. val fileName: String
    Definition Classes
    Project
  18. def getAccessList()(implicit client: DataRobotClient): List[Map[String, String]]

    returns

    list of users and permissions for given project

    Definition Classes
    Project
  19. def getAssociationFeatureLists()(implicit client: DataRobotClient): Seq[Map[String, String]]
    Definition Classes
    Project
  20. def getBlenderEligibility(models: List[Model], blenderMethod: enums.BlenderMethod.Value)(implicit client: DataRobotClient): Map[String, Any]

    models

    List of models to blend together

    Definition Classes
    Project
  21. def getBlenders()(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  22. def getBlueprint(id: String)(implicit client: DataRobotClient): Blueprint

    id

    blueprint id

    returns

    blueprint

    Definition Classes
    Project
    See also

    io.github.timsetsfire.datarobot.Blueprint.get

  23. def getBlueprintChart(blueprintId: String)(implicit client: DataRobotClient): Nothing

    blueprintId

    blueprint d

    Definition Classes
    Project
    To do

    implement this

  24. def getBlueprintDocumentation(blueprintId: String)(implicit client: DataRobotClient): Nothing

    blueprintId

    blueprint d

    Definition Classes
    Project
    To do

    implement this

  25. def getBlueprints()(implicit client: DataRobotClient): List[Blueprint]

    returns

    returns a list of eligible blueprints

    Definition Classes
    Project
    See also

    io.github.timsetsfire.datarobot.Blueprint.getBlueprints

  26. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  27. def getDatasets()(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  28. def getDateTimeModel(modelId: String)(implicit client: DataRobotClient): DateTimeModel
  29. def getDateTimeModels()(implicit client: DataRobotClient): List[DateTimeModel]
  30. def getDateTimePartitioning()(implicit client: DataRobotClient): DateTimePartition
  31. def getFeature(featureName: String)(implicit client: DataRobotClient): Feature

    returns

    return io.github.timsetsfire.datarobot.Feature given specified featurename

    Definition Classes
    Project
  32. def getFeatureAssocationMatrix(metric: enums.FeatureAssociationMetric.Value = FeatureAssociationMetric.MUTUALINFO, atype: enums.FeatureAssociationType.Value = FeatureAssociationType.ASSOCIATION, featurelistId: Option[String] = None)(implicit client: DataRobotClient): (Counter2[String, String, Double], List[FeatureAssociationDetail])

    metric

    association matrix metric

    atype

    association matric value type

    returns

    returns feature association matric for a given featurelist

    Definition Classes
    Project
  33. def getFeatureAssociationMatrixDetails(feature1: String, feature2: String, featurelistId: Option[String] = None)(implicit client: DataRobotClient): Map[String, Any]

    returns

    Returns associtation matric details for feature1 and feature2.

    Definition Classes
    Project
  34. def getFeaturelists()(implicit client: DataRobotClient): List[Featurelist]

    returns

    all featurelists available in project

    Definition Classes
    Project
  35. def getFeatures()(implicit client: DataRobotClient): List[Feature]

    returns

    set of all features available in project

    Definition Classes
    Project
  36. def getFrozenModel(modelId: String)(implicit client: DataRobotClient): Nothing

    modelId

    model id to get

    returns

    frozen model for specified id

    Definition Classes
    Project
    To do

    implement this

  37. def getFrozenModels()(implicit client: DataRobotClient): List[FrozenModel]

    returns

    list of frozen models for project

    Definition Classes
    Project
  38. def getJob(jobId: String)(implicit client: DataRobotClient): Job
    Definition Classes
    Project
  39. def getJobs(status: Option[String] = None)(implicit client: DataRobotClient): List[Job]
    Definition Classes
    Project
  40. def getLeaderboardLink()(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  41. def getMetrics(featureName: String)(implicit client: DataRobotClient): Map[String, Any]

    returns

    set of metrics available if given featureName is set as target

    Definition Classes
    Project
  42. def getModel(modelId: String)(implicit client: DataRobotClient): Model

    modelId

    model id to get

    returns

    model for specified modelId

    Definition Classes
    Project
  43. def getModelJob(jobId: String)(implicit client: DataRobotClient): Job
    Definition Classes
    Project
  44. def getModelJobs(status: Option[String] = None)(implicit client: DataRobotClient): List[Job]
    Definition Classes
    Project
  45. def getModelingFeaturelist(featurelistId: String)(implicit client: DataRobotClient): ModelingFeaturelist
  46. def getModelingFeaturelists()(implicit client: DataRobotClient): List[ModelingFeaturelist]
  47. def getModelingFeatures()(implicit client: DataRobotClient): List[ModelingFeature]
  48. def getModels()(implicit client: DataRobotClient): List[Model]

    returns

    list of models for the project

    Definition Classes
    Project
  49. def getPredictJob(jobId: String)(implicit client: DataRobotClient): Job

    Definition Classes
    Project
    To do

    implement this

  50. def getPredictJobs(status: Option[String] = None)(implicit client: DataRobotClient): List[Job]
    Definition Classes
    Project
  51. def getPrimeFiles(projectId: String)(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  52. def getPrimeModels(projectId: String)(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  53. def getRatingTableModels(projectId: String)(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  54. def getRatingTables(projectId: String)(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  55. def getRecommendedModel()(implicit client: DataRobotClient): ModelRecommendation

    returns

    Returns model recommended for deployment

    Definition Classes
    Project
  56. def getRecommendedModels()(implicit client: DataRobotClient): List[ModelRecommendation]

    returns

    REturns a list of models recommended by DataRobot

    Definition Classes
    Project
  57. def getReducedBlueprintChart(blueprintId: String)(implicit client: DataRobotClient): Nothing

    blueprintId

    blueprint d

    Definition Classes
    Project
    To do

    implement this

  58. def getStatus(projectId: String)(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
    To do

    implement this

  59. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  60. var holdoutUnlocked: Boolean
    Definition Classes
    Project
  61. val id: String
    Definition Classes
    Project
  62. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  63. var maxTrainPct: Option[Double]
    Definition Classes
    Project
  64. var maxTrainRows: Option[Double]
    Definition Classes
    Project
  65. var metric: Option[String]
    Definition Classes
    Project
  66. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  67. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  68. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  69. var partition: Option[Partition]
    Definition Classes
    Project
  70. var positiveClass: Option[Double]
    Definition Classes
    Project
  71. var projectName: String
    Definition Classes
    Project
  72. def refresh()(implicit client: DataRobotClient): Project
    Definition Classes
    Project
  73. def requestFeatureAssocationMatrix(featurelistId: String)(implicit client: DataRobotClient): String

    Caluclated assocation matrix for specific featurelist

    Caluclated assocation matrix for specific featurelist

    Definition Classes
    Project
  74. var scaleoutMaxTrainPct: Option[Double]
    Definition Classes
    Project
  75. var scaleoutMaxTrainRows: Option[Double]
    Definition Classes
    Project
  76. def setAccessList()(implicit client: DataRobotClient): Nothing

    Definition Classes
    Project
  77. def setProjectName(name: String)(implicit client: DataRobotClient): Project
    Definition Classes
    Project
  78. def setTarget(target: String, mode: enums.ModelingMode.Value = ModelingMode.AUTOPILOT, metric: Option[String] = None, quickrun: Boolean = false, positiveClass: Option[String] = None, partitioningMethod: Option[PartitioningMethod] = None, featurelistId: Option[String] = None, advancedOptions: Option[AdvancedOptions] = None, maxWait: Int = 600000, targetType: Option[enums.TargetType.Value] = None, workerCount: Option[Int] = None)(implicit client: DataRobotClient): Project

    Start modeling

    Start modeling

    Definition Classes
    Project
  79. def setWorkerCount(workerCount: Int)(implicit client: DataRobotClient): Unit

    workerCount

    Number of workers to use for modeling

    Definition Classes
    Project
  80. var stage: String
    Definition Classes
    Project
  81. def startAutopilot(projectId: String, featurelistId: Option[String] = None)(implicit client: DataRobotClient): HttpRequest
    Definition Classes
    Project
  82. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  83. var target: Option[String]
    Definition Classes
    Project
  84. var targetType: Option[String]
    Definition Classes
    Project
  85. def toDateTimeProject: DateTimeProject
    Definition Classes
    Project
  86. def toString(): String
    Definition Classes
    DateTimeProject → Project → AnyRef → Any
  87. def train(blueprint: Blueprint, featurelistId: Option[String] = None, samplePct: Option[Float] = None, trainingRowCount: Option[Int] = None, sourceProjectId: Option[String] = None, scoringType: Option[String] = None, monotonicIncreasingFeaturelistId: Option[String] = None, monotonicDecreasingFeaturelistId: Option[String] = None)(implicit client: DataRobotClient): ModelJob
    Definition Classes
    Project
  88. def trainDateTime(blueprint: Blueprint, featurelistId: Option[String] = None, trainingDuration: Option[String] = None, trainingRowCount: Option[Int], useProjectSettings: Option[Boolean] = None, sourceProjectId: Option[String] = None, timeWindowSamplePct: Option[Int] = None, samplingMethod: Option[String] = None, monotonicIncreasingFeaturelistId: Option[String] = None, monotonicDecreasingFeaturelistId: Option[String] = None)(implicit client: DataRobotClient): ModelJob
  89. def unlockHoldout()(implicit client: DataRobotClient): Project
    Definition Classes
    Project
  90. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  91. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  92. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from Project

Inherited from AnyRef

Inherited from Any

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