@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CreateDatasetGroupRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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CreateDatasetGroupRequest() |
Modifier and Type | Method and Description |
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CreateDatasetGroupRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
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boolean |
equals(Object obj) |
List<String> |
getDatasetArns()
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
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String |
getDatasetGroupName()
A name for the dataset group.
|
String |
getDomain()
The domain associated with the dataset group.
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List<Tag> |
getTags()
The optional metadata that you apply to the dataset group to help you categorize and organize them.
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int |
hashCode() |
void |
setDatasetArns(Collection<String> datasetArns)
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
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void |
setDatasetGroupName(String datasetGroupName)
A name for the dataset group.
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void |
setDomain(String domain)
The domain associated with the dataset group.
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void |
setTags(Collection<Tag> tags)
The optional metadata that you apply to the dataset group to help you categorize and organize them.
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String |
toString()
Returns a string representation of this object.
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CreateDatasetGroupRequest |
withDatasetArns(Collection<String> datasetArns)
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
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CreateDatasetGroupRequest |
withDatasetArns(String... datasetArns)
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
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CreateDatasetGroupRequest |
withDatasetGroupName(String datasetGroupName)
A name for the dataset group.
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CreateDatasetGroupRequest |
withDomain(Domain domain)
The domain associated with the dataset group.
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CreateDatasetGroupRequest |
withDomain(String domain)
The domain associated with the dataset group.
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CreateDatasetGroupRequest |
withTags(Collection<Tag> tags)
The optional metadata that you apply to the dataset group to help you categorize and organize them.
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CreateDatasetGroupRequest |
withTags(Tag... tags)
The optional metadata that you apply to the dataset group to help you categorize and organize them.
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addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public void setDatasetGroupName(String datasetGroupName)
A name for the dataset group.
datasetGroupName
- A name for the dataset group.public String getDatasetGroupName()
A name for the dataset group.
public CreateDatasetGroupRequest withDatasetGroupName(String datasetGroupName)
A name for the dataset group.
datasetGroupName
- A name for the dataset group.public void setDomain(String domain)
The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value
specified for the Domain
parameter of the CreateDataset operation must
match.
The Domain
and DatasetType
that you choose determine the fields that must be present in
training data that you import to a dataset. For example, if you choose the RETAIL
domain and
TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data. For more
information, see Dataset
groups.
domain
- The domain associated with the dataset group. When you add a dataset to a dataset group, this value and
the value specified for the Domain
parameter of the CreateDataset operation
must match.
The Domain
and DatasetType
that you choose determine the fields that must be
present in training data that you import to a dataset. For example, if you choose the RETAIL
domain and TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data. For
more information, see Dataset groups.
Domain
public String getDomain()
The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value
specified for the Domain
parameter of the CreateDataset operation must
match.
The Domain
and DatasetType
that you choose determine the fields that must be present in
training data that you import to a dataset. For example, if you choose the RETAIL
domain and
TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data. For more
information, see Dataset
groups.
Domain
parameter of the CreateDataset operation
must match.
The Domain
and DatasetType
that you choose determine the fields that must be
present in training data that you import to a dataset. For example, if you choose the RETAIL
domain and TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data.
For more information, see Dataset groups.
Domain
public CreateDatasetGroupRequest withDomain(String domain)
The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value
specified for the Domain
parameter of the CreateDataset operation must
match.
The Domain
and DatasetType
that you choose determine the fields that must be present in
training data that you import to a dataset. For example, if you choose the RETAIL
domain and
TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data. For more
information, see Dataset
groups.
domain
- The domain associated with the dataset group. When you add a dataset to a dataset group, this value and
the value specified for the Domain
parameter of the CreateDataset operation
must match.
The Domain
and DatasetType
that you choose determine the fields that must be
present in training data that you import to a dataset. For example, if you choose the RETAIL
domain and TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data. For
more information, see Dataset groups.
Domain
public CreateDatasetGroupRequest withDomain(Domain domain)
The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value
specified for the Domain
parameter of the CreateDataset operation must
match.
The Domain
and DatasetType
that you choose determine the fields that must be present in
training data that you import to a dataset. For example, if you choose the RETAIL
domain and
TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data. For more
information, see Dataset
groups.
domain
- The domain associated with the dataset group. When you add a dataset to a dataset group, this value and
the value specified for the Domain
parameter of the CreateDataset operation
must match.
The Domain
and DatasetType
that you choose determine the fields that must be
present in training data that you import to a dataset. For example, if you choose the RETAIL
domain and TARGET_TIME_SERIES
as the DatasetType
, Amazon Forecast requires that
item_id
, timestamp
, and demand
fields are present in your data. For
more information, see Dataset groups.
Domain
public List<String> getDatasetArns()
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
public void setDatasetArns(Collection<String> datasetArns)
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
datasetArns
- An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.public CreateDatasetGroupRequest withDatasetArns(String... datasetArns)
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
NOTE: This method appends the values to the existing list (if any). Use
setDatasetArns(java.util.Collection)
or withDatasetArns(java.util.Collection)
if you want to
override the existing values.
datasetArns
- An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.public CreateDatasetGroupRequest withDatasetArns(Collection<String> datasetArns)
An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
datasetArns
- An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.public List<Tag> getTags()
The optional metadata that you apply to the dataset group to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a prefix for
keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values
can have this prefix. If a tag value has aws
as its prefix but the key does not, then Forecast
considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of
aws
do not count against your tags per resource limit.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a
prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with
this prefix. Values can have this prefix. If a tag value has aws
as its prefix but the key
does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags
with only the key prefix of aws
do not count against your tags per resource limit.
public void setTags(Collection<Tag> tags)
The optional metadata that you apply to the dataset group to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a prefix for
keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values
can have this prefix. If a tag value has aws
as its prefix but the key does not, then Forecast
considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of
aws
do not count against your tags per resource limit.
tags
- The optional metadata that you apply to the dataset group to help you categorize and organize them. Each
tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a prefix
for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this
prefix. Values can have this prefix. If a tag value has aws
as its prefix but the key does
not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with
only the key prefix of aws
do not count against your tags per resource limit.
public CreateDatasetGroupRequest withTags(Tag... tags)
The optional metadata that you apply to the dataset group to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a prefix for
keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values
can have this prefix. If a tag value has aws
as its prefix but the key does not, then Forecast
considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of
aws
do not count against your tags per resource limit.
NOTE: This method appends the values to the existing list (if any). Use
setTags(java.util.Collection)
or withTags(java.util.Collection)
if you want to override the
existing values.
tags
- The optional metadata that you apply to the dataset group to help you categorize and organize them. Each
tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a prefix
for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this
prefix. Values can have this prefix. If a tag value has aws
as its prefix but the key does
not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with
only the key prefix of aws
do not count against your tags per resource limit.
public CreateDatasetGroupRequest withTags(Collection<Tag> tags)
The optional metadata that you apply to the dataset group to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a prefix for
keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values
can have this prefix. If a tag value has aws
as its prefix but the key does not, then Forecast
considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of
aws
do not count against your tags per resource limit.
tags
- The optional metadata that you apply to the dataset group to help you categorize and organize them. Each
tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of such as a prefix
for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this
prefix. Values can have this prefix. If a tag value has aws
as its prefix but the key does
not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with
only the key prefix of aws
do not count against your tags per resource limit.
public String toString()
toString
in class Object
Object.toString()
public CreateDatasetGroupRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()