com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request Maven / Gradle / Ivy
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/*
* Copyright 2011-2016 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not
* use this file except in compliance with the License. A copy of the License is
* located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on
* an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
* express or implied. See the License for the specific language governing
* permissions and limitations under the License.
*/
package com.amazonaws.services.machinelearning.model;
import java.io.Serializable;
import com.amazonaws.AmazonWebServiceRequest;
/**
*
*/
public class CreateDataSourceFromS3Request extends AmazonWebServiceRequest
implements Serializable, Cloneable {
/**
*
* A user-supplied identifier that uniquely identifies the
* DataSource.
*
*/
private String dataSourceId;
/**
*
* A user-supplied name or description of the DataSource.
*
*/
private String dataSourceName;
/**
*
* The data specification of a DataSource:
*
*
* -
*
* DataLocationS3 - The Amazon S3 location of the observation data.
*
*
* -
*
* DataSchemaLocationS3 - The Amazon S3 location of the
* DataSchema.
*
*
* -
*
* DataSchema - A JSON string representing the schema. This is not required
* if DataSchemaUri is specified.
*
*
* -
*
* DataRearrangement - A JSON string that represents the splitting and
* rearrangement requirements for the Datasource.
*
*
* Sample -
* "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
*
*
*/
private S3DataSpec dataSpec;
/**
*
* The compute statistics for a DataSource. The statistics are
* generated from the observation data referenced by a
* DataSource. Amazon ML uses the statistics internally during
* MLModel training. This parameter must be set to
* true if the MLModel training.
*
*/
private Boolean computeStatistics;
/**
*
* A user-supplied identifier that uniquely identifies the
* DataSource.
*
*
* @param dataSourceId
* A user-supplied identifier that uniquely identifies the
* DataSource.
*/
public void setDataSourceId(String dataSourceId) {
this.dataSourceId = dataSourceId;
}
/**
*
* A user-supplied identifier that uniquely identifies the
* DataSource.
*
*
* @return A user-supplied identifier that uniquely identifies the
* DataSource.
*/
public String getDataSourceId() {
return this.dataSourceId;
}
/**
*
* A user-supplied identifier that uniquely identifies the
* DataSource.
*
*
* @param dataSourceId
* A user-supplied identifier that uniquely identifies the
* DataSource.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public CreateDataSourceFromS3Request withDataSourceId(String dataSourceId) {
setDataSourceId(dataSourceId);
return this;
}
/**
*
* A user-supplied name or description of the DataSource.
*
*
* @param dataSourceName
* A user-supplied name or description of the DataSource
* .
*/
public void setDataSourceName(String dataSourceName) {
this.dataSourceName = dataSourceName;
}
/**
*
* A user-supplied name or description of the DataSource.
*
*
* @return A user-supplied name or description of the
* DataSource.
*/
public String getDataSourceName() {
return this.dataSourceName;
}
/**
*
* A user-supplied name or description of the DataSource.
*
*
* @param dataSourceName
* A user-supplied name or description of the DataSource
* .
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public CreateDataSourceFromS3Request withDataSourceName(
String dataSourceName) {
setDataSourceName(dataSourceName);
return this;
}
/**
*
* The data specification of a DataSource:
*
*
* -
*
* DataLocationS3 - The Amazon S3 location of the observation data.
*
*
* -
*
* DataSchemaLocationS3 - The Amazon S3 location of the
* DataSchema.
*
*
* -
*
* DataSchema - A JSON string representing the schema. This is not required
* if DataSchemaUri is specified.
*
*
* -
*
* DataRearrangement - A JSON string that represents the splitting and
* rearrangement requirements for the Datasource.
*
*
* Sample -
* "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
*
*
*
* @param dataSpec
* The data specification of a DataSource:
*
* -
*
* DataLocationS3 - The Amazon S3 location of the observation data.
*
*
* -
*
* DataSchemaLocationS3 - The Amazon S3 location of the
* DataSchema.
*
*
* -
*
* DataSchema - A JSON string representing the schema. This is not
* required if DataSchemaUri is specified.
*
*
* -
*
* DataRearrangement - A JSON string that represents the splitting
* and rearrangement requirements for the Datasource.
*
*
* Sample -
* "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
*
*/
public void setDataSpec(S3DataSpec dataSpec) {
this.dataSpec = dataSpec;
}
/**
*
* The data specification of a DataSource:
*
*
* -
*
* DataLocationS3 - The Amazon S3 location of the observation data.
*
*
* -
*
* DataSchemaLocationS3 - The Amazon S3 location of the
* DataSchema.
*
*
* -
*
* DataSchema - A JSON string representing the schema. This is not required
* if DataSchemaUri is specified.
*
*
* -
*
* DataRearrangement - A JSON string that represents the splitting and
* rearrangement requirements for the Datasource.
*
*
* Sample -
* "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
*
*
*
* @return The data specification of a DataSource:
*
* -
*
* DataLocationS3 - The Amazon S3 location of the observation data.
*
*
* -
*
* DataSchemaLocationS3 - The Amazon S3 location of the
* DataSchema.
*
*
* -
*
* DataSchema - A JSON string representing the schema. This is not
* required if DataSchemaUri is specified.
*
*
* -
*
* DataRearrangement - A JSON string that represents the splitting
* and rearrangement requirements for the Datasource.
*
*
* Sample -
* "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
*
*/
public S3DataSpec getDataSpec() {
return this.dataSpec;
}
/**
*
* The data specification of a DataSource:
*
*
* -
*
* DataLocationS3 - The Amazon S3 location of the observation data.
*
*
* -
*
* DataSchemaLocationS3 - The Amazon S3 location of the
* DataSchema.
*
*
* -
*
* DataSchema - A JSON string representing the schema. This is not required
* if DataSchemaUri is specified.
*
*
* -
*
* DataRearrangement - A JSON string that represents the splitting and
* rearrangement requirements for the Datasource.
*
*
* Sample -
* "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
*
*
*
* @param dataSpec
* The data specification of a DataSource:
*
* -
*
* DataLocationS3 - The Amazon S3 location of the observation data.
*
*
* -
*
* DataSchemaLocationS3 - The Amazon S3 location of the
* DataSchema.
*
*
* -
*
* DataSchema - A JSON string representing the schema. This is not
* required if DataSchemaUri is specified.
*
*
* -
*
* DataRearrangement - A JSON string that represents the splitting
* and rearrangement requirements for the Datasource.
*
*
* Sample -
* "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
*
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public CreateDataSourceFromS3Request withDataSpec(S3DataSpec dataSpec) {
setDataSpec(dataSpec);
return this;
}
/**
*
* The compute statistics for a DataSource. The statistics are
* generated from the observation data referenced by a
* DataSource. Amazon ML uses the statistics internally during
* MLModel training. This parameter must be set to
* true if the MLModel training.
*
*
* @param computeStatistics
* The compute statistics for a DataSource. The
* statistics are generated from the observation data referenced by a
* DataSource. Amazon ML uses the statistics internally
* during MLModel training. This parameter must be set
* to true if the MLModel training.
*/
public void setComputeStatistics(Boolean computeStatistics) {
this.computeStatistics = computeStatistics;
}
/**
*
* The compute statistics for a DataSource. The statistics are
* generated from the observation data referenced by a
* DataSource. Amazon ML uses the statistics internally during
* MLModel training. This parameter must be set to
* true if the MLModel training.
*
*
* @return The compute statistics for a DataSource. The
* statistics are generated from the observation data referenced by
* a DataSource. Amazon ML uses the statistics
* internally during MLModel training. This parameter
* must be set to true if the MLModel training.
*/
public Boolean getComputeStatistics() {
return this.computeStatistics;
}
/**
*
* The compute statistics for a DataSource. The statistics are
* generated from the observation data referenced by a
* DataSource. Amazon ML uses the statistics internally during
* MLModel training. This parameter must be set to
* true if the MLModel training.
*
*
* @param computeStatistics
* The compute statistics for a DataSource. The
* statistics are generated from the observation data referenced by a
* DataSource. Amazon ML uses the statistics internally
* during MLModel training. This parameter must be set
* to true if the MLModel training.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public CreateDataSourceFromS3Request withComputeStatistics(
Boolean computeStatistics) {
setComputeStatistics(computeStatistics);
return this;
}
/**
*
* The compute statistics for a DataSource. The statistics are
* generated from the observation data referenced by a
* DataSource. Amazon ML uses the statistics internally during
* MLModel training. This parameter must be set to
* true if the MLModel training.
*
*
* @return The compute statistics for a DataSource. The
* statistics are generated from the observation data referenced by
* a DataSource. Amazon ML uses the statistics
* internally during MLModel training. This parameter
* must be set to true if the MLModel training.
*/
public Boolean isComputeStatistics() {
return this.computeStatistics;
}
/**
* Returns a string representation of this object; useful for testing and
* debugging.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getDataSourceId() != null)
sb.append("DataSourceId: " + getDataSourceId() + ",");
if (getDataSourceName() != null)
sb.append("DataSourceName: " + getDataSourceName() + ",");
if (getDataSpec() != null)
sb.append("DataSpec: " + getDataSpec() + ",");
if (getComputeStatistics() != null)
sb.append("ComputeStatistics: " + getComputeStatistics());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof CreateDataSourceFromS3Request == false)
return false;
CreateDataSourceFromS3Request other = (CreateDataSourceFromS3Request) obj;
if (other.getDataSourceId() == null ^ this.getDataSourceId() == null)
return false;
if (other.getDataSourceId() != null
&& other.getDataSourceId().equals(this.getDataSourceId()) == false)
return false;
if (other.getDataSourceName() == null
^ this.getDataSourceName() == null)
return false;
if (other.getDataSourceName() != null
&& other.getDataSourceName().equals(this.getDataSourceName()) == false)
return false;
if (other.getDataSpec() == null ^ this.getDataSpec() == null)
return false;
if (other.getDataSpec() != null
&& other.getDataSpec().equals(this.getDataSpec()) == false)
return false;
if (other.getComputeStatistics() == null
^ this.getComputeStatistics() == null)
return false;
if (other.getComputeStatistics() != null
&& other.getComputeStatistics().equals(
this.getComputeStatistics()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime
* hashCode
+ ((getDataSourceId() == null) ? 0 : getDataSourceId()
.hashCode());
hashCode = prime
* hashCode
+ ((getDataSourceName() == null) ? 0 : getDataSourceName()
.hashCode());
hashCode = prime * hashCode
+ ((getDataSpec() == null) ? 0 : getDataSpec().hashCode());
hashCode = prime
* hashCode
+ ((getComputeStatistics() == null) ? 0
: getComputeStatistics().hashCode());
return hashCode;
}
@Override
public CreateDataSourceFromS3Request clone() {
return (CreateDataSourceFromS3Request) super.clone();
}
}