Forecasting
data class ForecastingTrainingSettingsArgs(val allowedTrainingAlgorithms: Output<List<Either<String, ForecastingModels>>>? = null, val blockedTrainingAlgorithms: Output<List<Either<String, ForecastingModels>>>? = null, val enableDnnTraining: Output<Boolean>? = null, val enableModelExplainability: Output<Boolean>? = null, val enableOnnxCompatibleModels: Output<Boolean>? = null, val enableStackEnsemble: Output<Boolean>? = null, val enableVoteEnsemble: Output<Boolean>? = null, val ensembleModelDownloadTimeout: Output<String>? = null, val stackEnsembleSettings: Output<StackEnsembleSettingsArgs>? = null) : ConvertibleToJava<ForecastingTrainingSettingsArgs>
Forecasting Training related configuration.
Constructors
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constructor(allowedTrainingAlgorithms: Output<List<Either<String, ForecastingModels>>>? = null, blockedTrainingAlgorithms: Output<List<Either<String, ForecastingModels>>>? = null, enableDnnTraining: Output<Boolean>? = null, enableModelExplainability: Output<Boolean>? = null, enableOnnxCompatibleModels: Output<Boolean>? = null, enableStackEnsemble: Output<Boolean>? = null, enableVoteEnsemble: Output<Boolean>? = null, ensembleModelDownloadTimeout: Output<String>? = null, stackEnsembleSettings: Output<StackEnsembleSettingsArgs>? = 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.