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MachineLearning

import { MachineLearning } from "https://aws-api-16vtt531a2w0.deno.dev/v0.2/services/machinelearning.ts";
class MachineLearning {
constructor(apiFactory: client.ApiFactory);
async addTags(params: AddTagsInput, opts?: client.RequestOptions): Promise<AddTagsOutput>;
async createBatchPrediction(params: CreateBatchPredictionInput, opts?: client.RequestOptions): Promise<CreateBatchPredictionOutput>;
async createDataSourceFromRDS(params: CreateDataSourceFromRDSInput, opts?: client.RequestOptions): Promise<CreateDataSourceFromRDSOutput>;
async createDataSourceFromRedshift(params: CreateDataSourceFromRedshiftInput, opts?: client.RequestOptions): Promise<CreateDataSourceFromRedshiftOutput>;
async createDataSourceFromS3(params: CreateDataSourceFromS3Input, opts?: client.RequestOptions): Promise<CreateDataSourceFromS3Output>;
async createEvaluation(params: CreateEvaluationInput, opts?: client.RequestOptions): Promise<CreateEvaluationOutput>;
async createMLModel(params: CreateMLModelInput, opts?: client.RequestOptions): Promise<CreateMLModelOutput>;
async createRealtimeEndpoint(params: CreateRealtimeEndpointInput, opts?: client.RequestOptions): Promise<CreateRealtimeEndpointOutput>;
async deleteBatchPrediction(params: DeleteBatchPredictionInput, opts?: client.RequestOptions): Promise<DeleteBatchPredictionOutput>;
async deleteDataSource(params: DeleteDataSourceInput, opts?: client.RequestOptions): Promise<DeleteDataSourceOutput>;
async deleteEvaluation(params: DeleteEvaluationInput, opts?: client.RequestOptions): Promise<DeleteEvaluationOutput>;
async deleteMLModel(params: DeleteMLModelInput, opts?: client.RequestOptions): Promise<DeleteMLModelOutput>;
async deleteRealtimeEndpoint(params: DeleteRealtimeEndpointInput, opts?: client.RequestOptions): Promise<DeleteRealtimeEndpointOutput>;
async deleteTags(params: DeleteTagsInput, opts?: client.RequestOptions): Promise<DeleteTagsOutput>;
async describeBatchPredictions(params?: DescribeBatchPredictionsInput, opts?: client.RequestOptions): Promise<DescribeBatchPredictionsOutput>;
async describeDataSources(params?: DescribeDataSourcesInput, opts?: client.RequestOptions): Promise<DescribeDataSourcesOutput>;
async describeEvaluations(params?: DescribeEvaluationsInput, opts?: client.RequestOptions): Promise<DescribeEvaluationsOutput>;
async describeMLModels(params?: DescribeMLModelsInput, opts?: client.RequestOptions): Promise<DescribeMLModelsOutput>;
async describeTags(params: DescribeTagsInput, opts?: client.RequestOptions): Promise<DescribeTagsOutput>;
async getBatchPrediction(params: GetBatchPredictionInput, opts?: client.RequestOptions): Promise<GetBatchPredictionOutput>;
async getDataSource(params: GetDataSourceInput, opts?: client.RequestOptions): Promise<GetDataSourceOutput>;
async getEvaluation(params: GetEvaluationInput, opts?: client.RequestOptions): Promise<GetEvaluationOutput>;
async getMLModel(params: GetMLModelInput, opts?: client.RequestOptions): Promise<GetMLModelOutput>;
async predict(params: PredictInput, opts?: client.RequestOptions): Promise<PredictOutput>;
async updateBatchPrediction(params: UpdateBatchPredictionInput, opts?: client.RequestOptions): Promise<UpdateBatchPredictionOutput>;
async updateDataSource(params: UpdateDataSourceInput, opts?: client.RequestOptions): Promise<UpdateDataSourceOutput>;
async updateEvaluation(params: UpdateEvaluationInput, opts?: client.RequestOptions): Promise<UpdateEvaluationOutput>;
async updateMLModel(params: UpdateMLModelInput, opts?: client.RequestOptions): Promise<UpdateMLModelOutput>;
async waitForBatchPredictionAvailable(params: DescribeBatchPredictionsInput, opts?: client.RequestOptions): Promise<DescribeBatchPredictionsOutput>;
async waitForDataSourceAvailable(params: DescribeDataSourcesInput, opts?: client.RequestOptions): Promise<DescribeDataSourcesOutput>;
async waitForEvaluationAvailable(params: DescribeEvaluationsInput, opts?: client.RequestOptions): Promise<DescribeEvaluationsOutput>;
async waitForMLModelAvailable(params: DescribeMLModelsInput, opts?: client.RequestOptions): Promise<DescribeMLModelsOutput>;
 
static ApiMetadata: client.ApiMetadata;
}

§Constructors

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new MachineLearning(apiFactory: client.ApiFactory)
[src]

§Methods

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addTags(params: AddTagsInput, opts?: client.RequestOptions): Promise<AddTagsOutput>
[src]
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deleteTags(params: DeleteTagsInput, opts?: client.RequestOptions): Promise<DeleteTagsOutput>
[src]
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describeTags(params: DescribeTagsInput, opts?: client.RequestOptions): Promise<DescribeTagsOutput>
[src]
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getMLModel(params: GetMLModelInput, opts?: client.RequestOptions): Promise<GetMLModelOutput>
[src]
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predict(params: PredictInput, opts?: client.RequestOptions): Promise<PredictOutput>
[src]
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waitForBatchPredictionAvailable(params: DescribeBatchPredictionsInput, opts?: client.RequestOptions): Promise<DescribeBatchPredictionsOutput>
[src]

Checks state up to 60 times, 30 seconds apart (about 30 minutes max wait time).

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waitForDataSourceAvailable(params: DescribeDataSourcesInput, opts?: client.RequestOptions): Promise<DescribeDataSourcesOutput>
[src]

Checks state up to 60 times, 30 seconds apart (about 30 minutes max wait time).

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waitForEvaluationAvailable(params: DescribeEvaluationsInput, opts?: client.RequestOptions): Promise<DescribeEvaluationsOutput>
[src]

Checks state up to 60 times, 30 seconds apart (about 30 minutes max wait time).

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waitForMLModelAvailable(params: DescribeMLModelsInput, opts?: client.RequestOptions): Promise<DescribeMLModelsOutput>
[src]

Checks state up to 60 times, 30 seconds apart (about 30 minutes max wait time).

§Static Properties