Package com.amazonaws.services.machinelearning.model

Class DataSource

java.lang.Object
com.amazonaws.services.machinelearning.model.DataSource
All Implemented Interfaces:
Serializable, Cloneable
public class DataSource extends Object implements Serializable, Cloneable

Represents the output of the GetDataSource operation.

The content consists of the detailed metadata and data file information and the current status of the DataSource.

See Also:

  • Constructor Details

    • DataSource

      public DataSource()

  • Method Details

    • setDataSourceId

      public void setDataSourceId(String dataSourceId)

      The ID that is assigned to the DataSource during creation.

      Parameters:
      dataSourceId - The ID that is assigned to the DataSource during creation.

    • getDataSourceId

      public String getDataSourceId()

      The ID that is assigned to the DataSource during creation.

      Returns:
      The ID that is assigned to the DataSource during creation.

    • withDataSourceId

      public DataSource withDataSourceId(String dataSourceId)

      The ID that is assigned to the DataSource during creation.

      Parameters:
      dataSourceId - The ID that is assigned to the DataSource during creation.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setDataLocationS3

      public void setDataLocationS3(String dataLocationS3)

      The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

      Parameters:
      dataLocationS3 - The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

    • getDataLocationS3

      public String getDataLocationS3()

      The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

      Returns:
      The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

    • withDataLocationS3

      public DataSource withDataLocationS3(String dataLocationS3)

      The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

      Parameters:
      dataLocationS3 - The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setDataRearrangement

      public void setDataRearrangement(String dataRearrangement)

      A JSON string that represents the splitting requirement of a Datasource.

      Parameters:
      dataRearrangement - A JSON string that represents the splitting requirement of a Datasource.

    • getDataRearrangement

      public String getDataRearrangement()

      A JSON string that represents the splitting requirement of a Datasource.

      Returns:
      A JSON string that represents the splitting requirement of a Datasource.

    • withDataRearrangement

      public DataSource withDataRearrangement(String dataRearrangement)

      A JSON string that represents the splitting requirement of a Datasource.

      Parameters:
      dataRearrangement - A JSON string that represents the splitting requirement of a Datasource.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setCreatedByIamUser

      public void setCreatedByIamUser(String createdByIamUser)

      The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

      Parameters:
      createdByIamUser - The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

    • getCreatedByIamUser

      public String getCreatedByIamUser()

      The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

      Returns:
      The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

    • withCreatedByIamUser

      public DataSource withCreatedByIamUser(String createdByIamUser)

      The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

      Parameters:
      createdByIamUser - The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setCreatedAt

      public void setCreatedAt(Date createdAt)

      The time that the DataSource was created. The time is expressed in epoch time.

      Parameters:
      createdAt - The time that the DataSource was created. The time is expressed in epoch time.

    • getCreatedAt

      public Date getCreatedAt()

      The time that the DataSource was created. The time is expressed in epoch time.

      Returns:
      The time that the DataSource was created. The time is expressed in epoch time.

    • withCreatedAt

      public DataSource withCreatedAt(Date createdAt)

      The time that the DataSource was created. The time is expressed in epoch time.

      Parameters:
      createdAt - The time that the DataSource was created. The time is expressed in epoch time.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setLastUpdatedAt

      public void setLastUpdatedAt(Date lastUpdatedAt)

      The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

      Parameters:
      lastUpdatedAt - The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

    • getLastUpdatedAt

      public Date getLastUpdatedAt()

      The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

      Returns:
      The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

    • withLastUpdatedAt

      public DataSource withLastUpdatedAt(Date lastUpdatedAt)

      The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

      Parameters:
      lastUpdatedAt - The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setDataSizeInBytes

      public void setDataSizeInBytes(Long dataSizeInBytes)

      The total number of observations contained in the data files that the DataSource references.

      Parameters:
      dataSizeInBytes - The total number of observations contained in the data files that the DataSource references.

    • getDataSizeInBytes

      public Long getDataSizeInBytes()

      The total number of observations contained in the data files that the DataSource references.

      Returns:
      The total number of observations contained in the data files that the DataSource references.

    • withDataSizeInBytes

      public DataSource withDataSizeInBytes(Long dataSizeInBytes)

      The total number of observations contained in the data files that the DataSource references.

      Parameters:
      dataSizeInBytes - The total number of observations contained in the data files that the DataSource references.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setNumberOfFiles

      public void setNumberOfFiles(Long numberOfFiles)

      The number of data files referenced by the DataSource.

      Parameters:
      numberOfFiles - The number of data files referenced by the DataSource .

    • getNumberOfFiles

      public Long getNumberOfFiles()

      The number of data files referenced by the DataSource.

      Returns:
      The number of data files referenced by the DataSource.

    • withNumberOfFiles

      public DataSource withNumberOfFiles(Long numberOfFiles)

      The number of data files referenced by the DataSource.

      Parameters:
      numberOfFiles - The number of data files referenced by the DataSource .
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setName

      public void setName(String name)

      A user-supplied name or description of the DataSource.

      Parameters:
      name - A user-supplied name or description of the DataSource .

    • getName

      public String getName()

      A user-supplied name or description of the DataSource.

      Returns:
      A user-supplied name or description of the DataSource.

    • withName

      public DataSource withName(String name)

      A user-supplied name or description of the DataSource.

      Parameters:
      name - A user-supplied name or description of the DataSource .
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setStatus

      public void setStatus(String status)

      The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      Parameters:
      status - The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      See Also:

    • getStatus

      public String getStatus()

      The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      Returns:
      The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      See Also:

    • withStatus

      public DataSource withStatus(String status)

      The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      Parameters:
      status - The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • setStatus

      public void setStatus(EntityStatus status)

      The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      Parameters:
      status - The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      See Also:

    • withStatus

      public DataSource withStatus(EntityStatus status)

      The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      Parameters:
      status - The current status of the DataSource. This element can have one of the following values:

      • PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
      • INPROGRESS - The creation process is underway.
      • FAILED - The request to create a DataSource did not run to completion. It is not usable.
      • COMPLETED - The creation process completed successfully.
      • DELETED - The DataSource is marked as deleted. It is not usable.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • setMessage

      public void setMessage(String message)

      A description of the most recent details about creating the DataSource.

      Parameters:
      message - A description of the most recent details about creating the DataSource.

    • getMessage

      public String getMessage()

      A description of the most recent details about creating the DataSource.

      Returns:
      A description of the most recent details about creating the DataSource.

    • withMessage

      public DataSource withMessage(String message)

      A description of the most recent details about creating the DataSource.

      Parameters:
      message - A description of the most recent details about creating the DataSource.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setRedshiftMetadata

      public void setRedshiftMetadata(RedshiftMetadata redshiftMetadata)
      Parameters:
      redshiftMetadata -

    • getRedshiftMetadata

      public RedshiftMetadata getRedshiftMetadata()
      Returns:

    • withRedshiftMetadata

      public DataSource withRedshiftMetadata(RedshiftMetadata redshiftMetadata)
      Parameters:
      redshiftMetadata -
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setRDSMetadata

      public void setRDSMetadata(RDSMetadata rDSMetadata)
      Parameters:
      rDSMetadata -

    • getRDSMetadata

      public RDSMetadata getRDSMetadata()
      Returns:

    • withRDSMetadata

      public DataSource withRDSMetadata(RDSMetadata rDSMetadata)
      Parameters:
      rDSMetadata -
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setRoleARN

      public void setRoleARN(String roleARN)
      Parameters:
      roleARN -

    • getRoleARN

      public String getRoleARN()
      Returns:

    • withRoleARN

      public DataSource withRoleARN(String roleARN)
      Parameters:
      roleARN -
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setComputeStatistics

      public void setComputeStatistics(Boolean computeStatistics)

      The parameter is true if statistics need to be generated from the observation data.

      Parameters:
      computeStatistics - The parameter is true if statistics need to be generated from the observation data.

    • getComputeStatistics

      public Boolean getComputeStatistics()

      The parameter is true if statistics need to be generated from the observation data.

      Returns:
      The parameter is true if statistics need to be generated from the observation data.

    • withComputeStatistics

      public DataSource withComputeStatistics(Boolean computeStatistics)

      The parameter is true if statistics need to be generated from the observation data.

      Parameters:
      computeStatistics - The parameter is true if statistics need to be generated from the observation data.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • isComputeStatistics

      public Boolean isComputeStatistics()

      The parameter is true if statistics need to be generated from the observation data.

      Returns:
      The parameter is true if statistics need to be generated from the observation data.

    • toString

      public String toString()
      Returns a string representation of this object; useful for testing and debugging.
      Overrides:
      toString in class Object
      Returns:
      A string representation of this object.
      See Also:

    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class Object

    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class Object

    • clone

      public DataSource clone()
      Overrides:
      clone in class Object