Copyright | (c) 2013-2016 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay <brendan.g.hay@gmail.com> |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | None |
Language | Haskell2010 |
Creates a new Evaluation
of an MLModel
. An MLModel
is evaluated on a set of observations associated to a DataSource
. Like a DataSource
for an MLModel
, the DataSource
for an Evaluation
contains values for the 'Target Variable'. The Evaluation
compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the MLModel
functions on the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding MLModelType
: BINARY
, REGRESSION
or MULTICLASS
.
CreateEvaluation
is an asynchronous operation. In response to CreateEvaluation
, Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status to PENDING
. After the Evaluation
is created and ready for use, Amazon ML sets the status to COMPLETED
.
You can use the GetEvaluation
operation to check progress of the evaluation during the creation operation.
- createEvaluation :: Text -> Text -> Text -> CreateEvaluation
- data CreateEvaluation
- ceEvaluationName :: Lens' CreateEvaluation (Maybe Text)
- ceEvaluationId :: Lens' CreateEvaluation Text
- ceMLModelId :: Lens' CreateEvaluation Text
- ceEvaluationDataSourceId :: Lens' CreateEvaluation Text
- createEvaluationResponse :: Int -> CreateEvaluationResponse
- data CreateEvaluationResponse
- cersEvaluationId :: Lens' CreateEvaluationResponse (Maybe Text)
- cersResponseStatus :: Lens' CreateEvaluationResponse Int
Creating a Request
Creates a value of CreateEvaluation
with the minimum fields required to make a request.
Use one of the following lenses to modify other fields as desired:
data CreateEvaluation Source #
See: createEvaluation
smart constructor.
Request Lenses
ceEvaluationName :: Lens' CreateEvaluation (Maybe Text) Source #
A user-supplied name or description of the Evaluation
.
ceEvaluationId :: Lens' CreateEvaluation Text Source #
A user-supplied ID that uniquely identifies the Evaluation
.
ceMLModelId :: Lens' CreateEvaluation Text Source #
The ID of the MLModel
to evaluate.
The schema used in creating the MLModel
must match the schema of the DataSource
used in the Evaluation
.
ceEvaluationDataSourceId :: Lens' CreateEvaluation Text Source #
The ID of the DataSource
for the evaluation. The schema of the DataSource
must match the schema used to create the MLModel
.
Destructuring the Response
createEvaluationResponse Source #
Creates a value of CreateEvaluationResponse
with the minimum fields required to make a request.
Use one of the following lenses to modify other fields as desired:
data CreateEvaluationResponse Source #
Represents the output of a CreateEvaluation
operation, and is an acknowledgement that Amazon ML received the request.
CreateEvaluation
operation is asynchronous. You can poll for status updates by using the GetEvcaluation
operation and checking the Status
parameter.
See: createEvaluationResponse
smart constructor.
Response Lenses
cersEvaluationId :: Lens' CreateEvaluationResponse (Maybe Text) Source #
The user-supplied ID that uniquely identifies the Evaluation
. This value should be identical to the value of the EvaluationId
in the request.
cersResponseStatus :: Lens' CreateEvaluationResponse Int Source #
The response status code.