@Generated(value="software.amazon.awssdk:codegen") public final class AutoMLCandidateGenerationConfig extends Object implements SdkPojo, Serializable, ToCopyableBuilder<AutoMLCandidateGenerationConfig.Builder,AutoMLCandidateGenerationConfig>
Stores the config information for how a candidate is generated (optional).
| Modifier and Type | Class and Description |
|---|---|
static interface |
AutoMLCandidateGenerationConfig.Builder |
| Modifier and Type | Method and Description |
|---|---|
static AutoMLCandidateGenerationConfig.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
String |
featureSpecificationS3Uri()
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot
job.
|
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
List<SdkField<?>> |
sdkFields() |
static Class<? extends AutoMLCandidateGenerationConfig.Builder> |
serializableBuilderClass() |
AutoMLCandidateGenerationConfig.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final String 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.
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.
public AutoMLCandidateGenerationConfig.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<AutoMLCandidateGenerationConfig.Builder,AutoMLCandidateGenerationConfig>public static AutoMLCandidateGenerationConfig.Builder builder()
public static Class<? extends AutoMLCandidateGenerationConfig.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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