Class protos.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs (3.10.1)

Represents an AutoMlTablesInputs.

Package

Constructors

(constructor)(properties)

constructor(properties?: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlTablesInputs);

Constructs a new AutoMlTablesInputs.

Parameter
Name	Description
`properties`	`IAutoMlTablesInputs` Properties to set

Properties

additionalExperiments

public additionalExperiments: string[];

AutoMlTablesInputs additionalExperiments.

additionalOptimizationObjectiveConfig

public additionalOptimizationObjectiveConfig?: ("optimizationObjectiveRecallValue"|"optimizationObjectivePrecisionValue");

AutoMlTablesInputs additionalOptimizationObjectiveConfig.

disableEarlyStopping

public disableEarlyStopping: boolean;

AutoMlTablesInputs disableEarlyStopping.

exportEvaluatedDataItemsConfig

public exportEvaluatedDataItemsConfig?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IExportEvaluatedDataItemsConfig|null);

AutoMlTablesInputs exportEvaluatedDataItemsConfig.

optimizationObjective

public optimizationObjective: string;

AutoMlTablesInputs optimizationObjective.

optimizationObjectivePrecisionValue

public optimizationObjectivePrecisionValue?: (number|null);

AutoMlTablesInputs optimizationObjectivePrecisionValue.

optimizationObjectiveRecallValue

public optimizationObjectiveRecallValue?: (number|null);

AutoMlTablesInputs optimizationObjectiveRecallValue.

predictionType

public predictionType: string;

AutoMlTablesInputs predictionType.

targetColumn

public targetColumn: string;

AutoMlTablesInputs targetColumn.

trainBudgetMilliNodeHours

public trainBudgetMilliNodeHours: (number|Long|string);

AutoMlTablesInputs trainBudgetMilliNodeHours.

transformations

public transformations: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.ITransformation[];

AutoMlTablesInputs transformations.

weightColumnName

public weightColumnName: string;

AutoMlTablesInputs weightColumnName.

Methods

create(properties)

public static create(properties?: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlTablesInputs): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs;

Creates a new AutoMlTablesInputs instance using the specified properties.

Parameter
Name	Description
`properties`	`IAutoMlTablesInputs` Properties to set

Returns
Type	Description
`AutoMlTablesInputs`	AutoMlTablesInputs instance

decode(reader, length)

public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs;

Decodes an AutoMlTablesInputs message from the specified reader or buffer.

Parameters
Name	Description
`reader`	`(Reader\|Uint8Array)` Reader or buffer to decode from
`length`	`number` Message length if known beforehand

Returns
Type	Description
`AutoMlTablesInputs`	AutoMlTablesInputs

decodeDelimited(reader)

public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs;

Decodes an AutoMlTablesInputs message from the specified reader or buffer, length delimited.

Parameter
Name	Description
`reader`	`(Reader\|Uint8Array)` Reader or buffer to decode from

Returns
Type	Description
`AutoMlTablesInputs`	AutoMlTablesInputs

encode(message, writer)

public static encode(message: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlTablesInputs, writer?: $protobuf.Writer): $protobuf.Writer;

Encodes the specified AutoMlTablesInputs message. Does not implicitly messages.

Parameters
Name	Description
`message`	`IAutoMlTablesInputs` AutoMlTablesInputs message or plain object to encode
`writer`	`$protobuf.Writer` Writer to encode to

Returns
Type	Description
`$protobuf.Writer`	Writer

encodeDelimited(message, writer)

public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlTablesInputs, writer?: $protobuf.Writer): $protobuf.Writer;

Encodes the specified AutoMlTablesInputs message, length delimited. Does not implicitly messages.

Parameters
Name	Description
`message`	`IAutoMlTablesInputs` AutoMlTablesInputs message or plain object to encode
`writer`	`$protobuf.Writer` Writer to encode to

Returns
Type	Description
`$protobuf.Writer`	Writer

fromObject(object)

public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs;

Creates an AutoMlTablesInputs message from a plain object. Also converts values to their respective internal types.

Parameter
Name	Description
`object`	`{ [k: string]: any }` Plain object

Returns
Type	Description
`AutoMlTablesInputs`	AutoMlTablesInputs

getTypeUrl(typeUrlPrefix)

public static getTypeUrl(typeUrlPrefix?: string): string;

Gets the default type url for AutoMlTablesInputs

Parameter
Name	Description
`typeUrlPrefix`	`string` your custom typeUrlPrefix(default "type.googleapis.com")

Returns
Type	Description
`string`	The default type url

toJSON()

public toJSON(): { [k: string]: any };

Converts this AutoMlTablesInputs to JSON.

Returns
Type	Description
`{ [k: string]: any }`	JSON object

toObject(message, options)

public static toObject(message: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs, options?: $protobuf.IConversionOptions): { [k: string]: any };

Creates a plain object from an AutoMlTablesInputs message. Also converts values to other types if specified.

Parameters
Name	Description
`message`	`AutoMlTablesInputs` AutoMlTablesInputs
`options`	`$protobuf.IConversionOptions` Conversion options

Returns
Type	Description
`{ [k: string]: any }`	Plain object

verify(message)

public static verify(message: { [k: string]: any }): (string|null);

Verifies an AutoMlTablesInputs message.

Parameter
Name	Description
`message`	`{ [k: string]: any }` Plain object to verify

Returns
Type	Description
`(string\|null)`	`null` if valid, otherwise the reason why it is not