Copyright | (c) 2013-2023 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | Safe-Inferred |
Language | Haskell2010 |
Synopsis
Documentation
data AutoMLCandidateGenerationConfig Source #
Stores the config information for how a candidate is generated (optional).
See: newAutoMLCandidateGenerationConfig
smart constructor.
AutoMLCandidateGenerationConfig' | |
|
Instances
newAutoMLCandidateGenerationConfig :: AutoMLCandidateGenerationConfig Source #
Create a value of AutoMLCandidateGenerationConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:featureSpecificationS3Uri:AutoMLCandidateGenerationConfig'
, autoMLCandidateGenerationConfig_featureSpecificationS3Uri
- A URL to the Amazon S3 data source containing selected features from the
input data source to run an Autopilot job. You can input
FeatureAttributeNames
(optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }
.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
These column keys may not include the target column.
In ensembling mode, Autopilot will only support the following data
types: numeric
, categorical
, text
and datetime
. In HPO mode,
Autopilot can support numeric
, categorical
, text
, datetime
and
sequence
.
If only FeatureDataTypes
is provided, the column keys (col1
,
col2
,..) should be a subset of the column names in the input data.
If both FeatureDataTypes
and FeatureAttributeNames
are provided,
then the column keys should be a subset of the column names provided in
FeatureAttributeNames
.
The key name FeatureAttributeNames
is fixed. The values listed in
["col1", "col2", ...]
is case sensitive and should be a list of
strings containing unique values that are a subset of the column names
in the input data. The list of columns provided must not include the
target column.
autoMLCandidateGenerationConfig_featureSpecificationS3Uri :: Lens' AutoMLCandidateGenerationConfig (Maybe Text) Source #
A URL to the Amazon S3 data source containing selected features from the
input data source to run an Autopilot job. You can input
FeatureAttributeNames
(optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }
.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
These column keys may not include the target column.
In ensembling mode, Autopilot will only support the following data
types: numeric
, categorical
, text
and datetime
. In HPO mode,
Autopilot can support numeric
, categorical
, text
, datetime
and
sequence
.
If only FeatureDataTypes
is provided, the column keys (col1
,
col2
,..) should be a subset of the column names in the input data.
If both FeatureDataTypes
and FeatureAttributeNames
are provided,
then the column keys should be a subset of the column names provided in
FeatureAttributeNames
.
The key name FeatureAttributeNames
is fixed. The values listed in
["col1", "col2", ...]
is case sensitive and should be a list of
strings containing unique values that are a subset of the column names
in the input data. The list of columns provided must not include the
target column.