Forecasting
data class ForecastingTrainingSettingsResponse(val allowedTrainingAlgorithms: List<String>? = null, val blockedTrainingAlgorithms: List<String>? = null, val enableDnnTraining: Boolean? = null, val enableModelExplainability: Boolean? = null, val enableOnnxCompatibleModels: Boolean? = null, val enableStackEnsemble: Boolean? = null, val enableVoteEnsemble: Boolean? = null, val ensembleModelDownloadTimeout: String? = null, val stackEnsembleSettings: StackEnsembleSettingsResponse? = null)
Forecasting Training related configuration.
Constructors
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constructor(allowedTrainingAlgorithms: List<String>? = null, blockedTrainingAlgorithms: List<String>? = null, enableDnnTraining: Boolean? = null, enableModelExplainability: Boolean? = null, enableOnnxCompatibleModels: Boolean? = null, enableStackEnsemble: Boolean? = null, enableVoteEnsemble: Boolean? = null, ensembleModelDownloadTimeout: String? = null, stackEnsembleSettings: StackEnsembleSettingsResponse? = null)
Properties
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Allowed models for forecasting task.
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Blocked models for forecasting task.
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Enable recommendation of DNN models.
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Flag to turn on explainability on best model.
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Flag for enabling onnx compatible models.
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Enable stack ensemble run.
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Enable voting ensemble run.
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During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded. Configure this parameter with a higher value than 300 secs, if more time is needed.
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Stack ensemble settings for stack ensemble run.