Safe Haskell | None |
---|---|
Language | Haskell2010 |
Returns an MLModel
that includes detailed metadata, and data source
information as well as the current status of the MLModel
.
GetMLModel
provides results in normal or verbose format.
http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_GetMLModel.html
- data GetMLModel
- getMLModel :: Text -> GetMLModel
- gmlmMLModelId :: Lens' GetMLModel Text
- gmlmVerbose :: Lens' GetMLModel (Maybe Bool)
- data GetMLModelResponse
- getMLModelResponse :: GetMLModelResponse
- gmlmrCreatedAt :: Lens' GetMLModelResponse (Maybe UTCTime)
- gmlmrCreatedByIamUser :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrEndpointInfo :: Lens' GetMLModelResponse (Maybe RealtimeEndpointInfo)
- gmlmrInputDataLocationS3 :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrLastUpdatedAt :: Lens' GetMLModelResponse (Maybe UTCTime)
- gmlmrLogUri :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrMLModelId :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrMLModelType :: Lens' GetMLModelResponse (Maybe MLModelType)
- gmlmrMessage :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrName :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrRecipe :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrSchema :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrScoreThreshold :: Lens' GetMLModelResponse (Maybe Double)
- gmlmrScoreThresholdLastUpdatedAt :: Lens' GetMLModelResponse (Maybe UTCTime)
- gmlmrSizeInBytes :: Lens' GetMLModelResponse (Maybe Integer)
- gmlmrStatus :: Lens' GetMLModelResponse (Maybe EntityStatus)
- gmlmrTrainingDataSourceId :: Lens' GetMLModelResponse (Maybe Text)
- gmlmrTrainingParameters :: Lens' GetMLModelResponse (HashMap Text Text)
Request
data GetMLModel Source
Request constructor
GetMLModel
constructor.
The fields accessible through corresponding lenses are:
Request lenses
gmlmMLModelId :: Lens' GetMLModel Text Source
The ID assigned to the MLModel
at creation.
gmlmVerbose :: Lens' GetMLModel (Maybe Bool) Source
Specifies whether the GetMLModel
operation should return Recipe
.
If true, Recipe
is returned.
If false, Recipe
is not returned.
Response
data GetMLModelResponse Source
Response constructor
getMLModelResponse :: GetMLModelResponse Source
GetMLModelResponse
constructor.
The fields accessible through corresponding lenses are:
gmlmrCreatedAt
::
Maybe
UTCTime
gmlmrCreatedByIamUser
::
Maybe
Text
gmlmrEndpointInfo
::
Maybe
RealtimeEndpointInfo
gmlmrInputDataLocationS3
::
Maybe
Text
gmlmrLastUpdatedAt
::
Maybe
UTCTime
gmlmrLogUri
::
Maybe
Text
gmlmrMLModelId
::
Maybe
Text
gmlmrMLModelType
::
Maybe
MLModelType
gmlmrMessage
::
Maybe
Text
gmlmrName
::
Maybe
Text
gmlmrRecipe
::
Maybe
Text
gmlmrSchema
::
Maybe
Text
gmlmrScoreThreshold
::
Maybe
Double
gmlmrScoreThresholdLastUpdatedAt
::
Maybe
UTCTime
gmlmrSizeInBytes
::
Maybe
Integer
gmlmrStatus
::
Maybe
EntityStatus
gmlmrTrainingDataSourceId
::
Maybe
Text
gmlmrTrainingParameters
::
HashMap
Text
Text
Response lenses
gmlmrCreatedAt :: Lens' GetMLModelResponse (Maybe UTCTime) Source
The time that the MLModel
was created. The time is expressed in epoch time.
gmlmrCreatedByIamUser :: Lens' GetMLModelResponse (Maybe Text) Source
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.
gmlmrEndpointInfo :: Lens' GetMLModelResponse (Maybe RealtimeEndpointInfo) Source
The current endpoint of the MLModel
gmlmrInputDataLocationS3 :: Lens' GetMLModelResponse (Maybe Text) Source
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
gmlmrLastUpdatedAt :: Lens' GetMLModelResponse (Maybe UTCTime) Source
The time of the most recent edit to the MLModel
. The time is expressed in
epoch time.
gmlmrLogUri :: Lens' GetMLModelResponse (Maybe Text) Source
A link to the file that contains logs of the CreateMLModel
operation.
gmlmrMLModelId :: Lens' GetMLModelResponse (Maybe Text) Source
The MLModel ID which is same as the MLModelId
in the request.
gmlmrMLModelType :: Lens' GetMLModelResponse (Maybe MLModelType) Source
Identifies the MLModel
category. The following are the available types:
REGRESSION -- Produces a numeric result. For example, "What listing price should a house have?" BINARY -- Produces one of two possible results. For example, "Is this an e-commerce website?" MULTICLASS -- Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?"
gmlmrMessage :: Lens' GetMLModelResponse (Maybe Text) Source
Description of the most recent details about accessing the MLModel
.
gmlmrName :: Lens' GetMLModelResponse (Maybe Text) Source
A user-supplied name or description of the MLModel
.
gmlmrRecipe :: Lens' GetMLModelResponse (Maybe Text) Source
The recipe to use when training the MLModel
. The Recipe
provides detailed
information about the observation data to use during training, as well as
manipulations to perform on the observation data during training.
Note This parameter is provided as part of the verbose format.
gmlmrSchema :: Lens' GetMLModelResponse (Maybe Text) Source
The schema used by all of the data files referenced by the DataSource
.
Note This parameter is provided as part of the verbose format.
gmlmrScoreThreshold :: Lens' GetMLModelResponse (Maybe Double) Source
The scoring threshold is used in binary classification MLModel
s, and marks
the boundary between a positive prediction and a negative prediction.
Output values greater than or equal to the threshold receive a positive
result from the MLModel, such as true
. Output values less than the threshold
receive a negative response from the MLModel, such as false
.
gmlmrScoreThresholdLastUpdatedAt :: Lens' GetMLModelResponse (Maybe UTCTime) Source
The time of the most recent edit to the ScoreThreshold
. The time is expressed
in epoch time.
gmlmrStatus :: Lens' GetMLModelResponse (Maybe EntityStatus) Source
The current status of the MLModel
. This element can have one of the following
values:
PENDING
- Amazon Machine Learning (Amazon ML) submitted a request to
describe a MLModel
. INPROGRESS
- The request is processing. FAILED
- The
request did not run to completion. It is not usable. COMPLETED
- The request
completed successfully. DELETED
- The MLModel
is marked as deleted. It is
not usable.
gmlmrTrainingDataSourceId :: Lens' GetMLModelResponse (Maybe Text) Source
The ID of the training DataSource
.
gmlmrTrainingParameters :: Lens' GetMLModelResponse (HashMap Text Text) Source
A list of the training parameters in the MLModel
. The list is implemented as
a map of key/value pairs.
The following is the current set of training parameters:
'sgd.l1RegularizationAmount' - Coefficient regularization L1 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to zero, resulting in a sparse feature set. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.
The value is a double that ranges from 0 to MAX_DOUBLE. The default is not
to use L1 normalization. The parameter cannot be used when L2
is specified.
Use this parameter sparingly.
'sgd.l2RegularizationAmount' - Coefficient regularization L2 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.
The value is a double that ranges from 0 to MAX_DOUBLE. The default is not
to use L2 normalization. This parameter cannot be used when L1
is specified.
Use this parameter sparingly.
'sgd.maxPasses' - The number of times that the training process traverses the
observations to build the MLModel
. The value is an integer that ranges from 1
to 10000. The default value is 10.
'sgd.maxMLModelSizeInBytes' - The maximum allowed size of the model. Depending on the input data, the model size might affect performance.
The value is an integer that ranges from 100000 to 2147483648. The default value is 33554432.