AmazonML

フリー
開発者 serg.osipchuk
更新日 10ヶ月前
機械学習
5.7/10
人気度
260ms
レイテンシ
100%
正常稼働率

「AmazonML 」のドキュメント

機械学習モデルを構築して予測を生成する。

全文を表示する
POSTaddTags
POSTcreateBatchPrediction
POSTcreateDataSourceFromRDS
POSTcreateDataSourceFromRedshift
POSTcreateDataSourceFromS3
POSTcreateEvaluation
POSTcreateMLModel
POSTcreateRealtimeEndpoint
POSTdeleteDataSource
POSTdeleteEvaluation
POSTdeleteModel
POSTdeletePrediction
POSTdeleteRealtimeEndpoint
POSTdeleteTags
POSTdescribeDataSources
POSTdescribeEvaluations
POSTdescribeModels
POSTdescribePredictions
POSTdescribeTags
POSTgetDataSource
POSTgetEvaluation
POSTgetModel
POSTgetPrediction
POSTpredict
POSTupdateDataSource
POSTupdateEvaluation
POSTupdateModel
POSTupdatePrediction
POSTcreateMLModel

MLModelの新しい評価を作成します。 MLModelは、DataSourceに関連付けられた一連の観測で評価されます。

ヘッダーパラメータ
X-RapidAPI-HostSTRING
REQUIRED
X-RapidAPI-KeySTRING
REQUIRED
必須パラメータ
modelIdSTRING
REQUIREDA user-supplied ID that uniquely identifies the MLModel.
trainingDataSourceIdSTRING
REQUIREDThe ID of DataSource that points to the training data.
apiSecretCREDENTIALS
REQUIREDAPI secret obtained from Amazon.
modelTypeSELECT
REQUIREDThe category of supervised learning that this MLModel will address. Choose from the following types: Choose REGRESSION if the MLModel will be used to predict a numeric value. Choose BINARY if the MLModel result has two possible values. Choose MULTICLASS if the MLModel result has a limited number of values.
apiKeyCREDENTIALS
REQUIREDAPI key obtained from Amazon.
regionSTRING
REQUIREDRegion.
パラメータ(Option)
parametersJSON
OPTIONALA list of the training parameters in the MLModel. The list is implemented as a map of key-value pairs. See README for more details.
recipeUriSTRING
OPTIONALThe Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default.
modelNameSTRING
OPTIONALA user-supplied name or description of the MLModel.
recipeSTRING
OPTIONALThe data recipe for creating the MLModel. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default.
コードスニペット
SDKをインストール
レスポンス例

SDKをインストール((Node.js)Unirest)

OAuth2認証
クライアントID
クライアントシークレット
OAuth2認証