MlModel

class MlModel

Represents the output of a GetMLModel operation.

The content consists of the detailed metadata and the current status of the MLModel.

Types

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class Builder
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object Companion

Properties

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The algorithm used to train the MLModel. The following algorithm is supported:

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Long integer type that is a 64-bit signed number.

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The time that the MLModel was created. The time is expressed in epoch time.

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The AWS user account from which the MLModel was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

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The current endpoint of the MLModel.

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A timestamp represented in epoch time.

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The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

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The time of the most recent edit to the MLModel. The time is expressed in epoch time.

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A description of the most recent details about accessing the MLModel.

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The ID assigned to the MLModel at creation.

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Identifies the MLModel category. The following are the available types:

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val name: String?

A user-supplied name or description of the MLModel.

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The time of the most recent edit to the ScoreThreshold. The time is expressed in epoch time.

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Long integer type that is a 64-bit signed number.

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A timestamp represented in epoch time.

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The current status of an MLModel. This element can have one of the following values:

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The ID of the training DataSource. The CreateMLModel operation uses the TrainingDataSourceId.

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A list of the training parameters in the MLModel. The list is implemented as a map of key-value pairs.

Functions

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inline fun copy(block: MlModel.Builder.() -> Unit = {}): MlModel
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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