AutoMlJobConfig

A collection of settings used for an AutoML job.

Types

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class Builder
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object Companion

Properties

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The configuration for generating a candidate for an AutoML job (optional).

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How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

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The configuration for splitting the input training dataset.

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The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.

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The security configuration for traffic encryption or Amazon VPC settings.

Functions

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inline fun copy(block: AutoMlJobConfig.Builder.() -> Unit = {}): AutoMlJobConfig
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open operator override fun equals(other: Any?): Boolean
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open override fun hashCode(): Int
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open override fun toString(): String