com.amazonaws.services.machinelearning.model.S3DataSpec Maven / Gradle / Ivy
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/*
* Copyright 2010-2016 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;
/**
*
* Describes the data specification of a DataSource.
*
*/
public class S3DataSpec implements Serializable, Cloneable {
/**
*
* The location of the data file(s) used by a DataSource. The
* URI specifies a data file or an Amazon Simple Storage Service (Amazon S3)
* directory or bucket containing data files.
*
*/
private String dataLocationS3;
/**
*
* Describes the splitting requirement of a Datasource.
*
*/
private String dataRearrangement;
/**
*
* A JSON string that represents the schema for an Amazon S3
* DataSource. The DataSchema defines the
* structure of the observation data in the data file(s) referenced in the
* DataSource.
*
*
* Define your DataSchema as a series of key-value pairs.
* attributes and excludedVariableNames have an
* array of key-value pairs for their value. Use the following format to
* define your DataSchema.
*
*
* { "version": "1.0",
*
*
* "recordAnnotationFieldName": "F1",
*
*
* "recordWeightFieldName": "F2",
*
*
* "targetFieldName": "F3",
*
*
* "dataFormat": "CSV",
*
*
* "dataFileContainsHeader": true,
*
*
* "attributes": [
*
*
* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2",
* "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL"
* }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5",
* "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" },
* { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, {
* "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ],
*
*
* "excludedVariableNames": [ "F6" ] }
*
*
*/
private String dataSchema;
/**
*
* Describes the schema Location in Amazon S3.
*
*/
private String dataSchemaLocationS3;
/**
*
* The location of the data file(s) used by a DataSource. The
* URI specifies a data file or an Amazon Simple Storage Service (Amazon S3)
* directory or bucket containing data files.
*
*
* @param dataLocationS3
* The location of the data file(s) used by a DataSource
* . The URI specifies a data file or an Amazon Simple Storage
* Service (Amazon S3) directory or bucket containing data files.
*/
public void setDataLocationS3(String dataLocationS3) {
this.dataLocationS3 = dataLocationS3;
}
/**
*
* The location of the data file(s) used by a DataSource. The
* URI specifies a data file or an Amazon Simple Storage Service (Amazon S3)
* directory or bucket containing data files.
*
*
* @return The location of the data file(s) used by a
* DataSource. The URI specifies a data file or an
* Amazon Simple Storage Service (Amazon S3) directory or bucket
* containing data files.
*/
public String getDataLocationS3() {
return this.dataLocationS3;
}
/**
*
* The location of the data file(s) used by a DataSource. The
* URI specifies a data file or an Amazon Simple Storage Service (Amazon S3)
* directory or bucket containing data files.
*
*
* @param dataLocationS3
* The location of the data file(s) used by a DataSource
* . The URI specifies a data file or an Amazon Simple Storage
* Service (Amazon S3) directory or bucket containing data files.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public S3DataSpec withDataLocationS3(String dataLocationS3) {
setDataLocationS3(dataLocationS3);
return this;
}
/**
*
* Describes the splitting requirement of a Datasource.
*
*
* @param dataRearrangement
* Describes the splitting requirement of a Datasource.
*/
public void setDataRearrangement(String dataRearrangement) {
this.dataRearrangement = dataRearrangement;
}
/**
*
* Describes the splitting requirement of a Datasource.
*
*
* @return Describes the splitting requirement of a Datasource.
*/
public String getDataRearrangement() {
return this.dataRearrangement;
}
/**
*
* Describes the splitting requirement of a Datasource.
*
*
* @param dataRearrangement
* Describes the splitting requirement of a Datasource.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public S3DataSpec withDataRearrangement(String dataRearrangement) {
setDataRearrangement(dataRearrangement);
return this;
}
/**
*
* A JSON string that represents the schema for an Amazon S3
* DataSource. The DataSchema defines the
* structure of the observation data in the data file(s) referenced in the
* DataSource.
*
*
* Define your DataSchema as a series of key-value pairs.
* attributes and excludedVariableNames have an
* array of key-value pairs for their value. Use the following format to
* define your DataSchema.
*
*
* { "version": "1.0",
*
*
* "recordAnnotationFieldName": "F1",
*
*
* "recordWeightFieldName": "F2",
*
*
* "targetFieldName": "F3",
*
*
* "dataFormat": "CSV",
*
*
* "dataFileContainsHeader": true,
*
*
* "attributes": [
*
*
* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2",
* "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL"
* }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5",
* "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" },
* { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, {
* "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ],
*
*
* "excludedVariableNames": [ "F6" ] }
*
*
*
* @param dataSchema
* A JSON string that represents the schema for an Amazon S3
* DataSource. The DataSchema defines the
* structure of the observation data in the data file(s) referenced
* in the DataSource.
*
* Define your DataSchema as a series of key-value
* pairs. attributes and
* excludedVariableNames have an array of key-value
* pairs for their value. Use the following format to define your
* DataSchema.
*
*
* { "version": "1.0",
*
*
* "recordAnnotationFieldName": "F1",
*
*
* "recordWeightFieldName": "F2",
*
*
* "targetFieldName": "F3",
*
*
* "dataFormat": "CSV",
*
*
* "dataFileContainsHeader": true,
*
*
* "attributes": [
*
*
* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2",
* "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType":
* "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, {
* "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName":
* "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType":
* "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType":
* "WEIGHTED_STRING_SEQUENCE" } ],
*
*
* "excludedVariableNames": [ "F6" ] }
*
*/
public void setDataSchema(String dataSchema) {
this.dataSchema = dataSchema;
}
/**
*
* A JSON string that represents the schema for an Amazon S3
* DataSource. The DataSchema defines the
* structure of the observation data in the data file(s) referenced in the
* DataSource.
*
*
* Define your DataSchema as a series of key-value pairs.
* attributes and excludedVariableNames have an
* array of key-value pairs for their value. Use the following format to
* define your DataSchema.
*
*
* { "version": "1.0",
*
*
* "recordAnnotationFieldName": "F1",
*
*
* "recordWeightFieldName": "F2",
*
*
* "targetFieldName": "F3",
*
*
* "dataFormat": "CSV",
*
*
* "dataFileContainsHeader": true,
*
*
* "attributes": [
*
*
* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2",
* "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL"
* }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5",
* "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" },
* { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, {
* "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ],
*
*
* "excludedVariableNames": [ "F6" ] }
*
*
*
* @return A JSON string that represents the schema for an Amazon S3
* DataSource. The DataSchema defines the
* structure of the observation data in the data file(s) referenced
* in the DataSource.
*
* Define your DataSchema as a series of key-value
* pairs. attributes and
* excludedVariableNames have an array of key-value
* pairs for their value. Use the following format to define your
* DataSchema.
*
*
* { "version": "1.0",
*
*
* "recordAnnotationFieldName": "F1",
*
*
* "recordWeightFieldName": "F2",
*
*
* "targetFieldName": "F3",
*
*
* "dataFormat": "CSV",
*
*
* "dataFileContainsHeader": true,
*
*
* "attributes": [
*
*
* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2",
* "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType":
* "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, {
* "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName":
* "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType":
* "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType":
* "WEIGHTED_STRING_SEQUENCE" } ],
*
*
* "excludedVariableNames": [ "F6" ] }
*
*/
public String getDataSchema() {
return this.dataSchema;
}
/**
*
* A JSON string that represents the schema for an Amazon S3
* DataSource. The DataSchema defines the
* structure of the observation data in the data file(s) referenced in the
* DataSource.
*
*
* Define your DataSchema as a series of key-value pairs.
* attributes and excludedVariableNames have an
* array of key-value pairs for their value. Use the following format to
* define your DataSchema.
*
*
* { "version": "1.0",
*
*
* "recordAnnotationFieldName": "F1",
*
*
* "recordWeightFieldName": "F2",
*
*
* "targetFieldName": "F3",
*
*
* "dataFormat": "CSV",
*
*
* "dataFileContainsHeader": true,
*
*
* "attributes": [
*
*
* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2",
* "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL"
* }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5",
* "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" },
* { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, {
* "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ],
*
*
* "excludedVariableNames": [ "F6" ] }
*
*
*
* @param dataSchema
* A JSON string that represents the schema for an Amazon S3
* DataSource. The DataSchema defines the
* structure of the observation data in the data file(s) referenced
* in the DataSource.
*
* Define your DataSchema as a series of key-value
* pairs. attributes and
* excludedVariableNames have an array of key-value
* pairs for their value. Use the following format to define your
* DataSchema.
*
*
* { "version": "1.0",
*
*
* "recordAnnotationFieldName": "F1",
*
*
* "recordWeightFieldName": "F2",
*
*
* "targetFieldName": "F3",
*
*
* "dataFormat": "CSV",
*
*
* "dataFileContainsHeader": true,
*
*
* "attributes": [
*
*
* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2",
* "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType":
* "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, {
* "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName":
* "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType":
* "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType":
* "WEIGHTED_STRING_SEQUENCE" } ],
*
*
* "excludedVariableNames": [ "F6" ] }
*
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public S3DataSpec withDataSchema(String dataSchema) {
setDataSchema(dataSchema);
return this;
}
/**
*
* Describes the schema Location in Amazon S3.
*
*
* @param dataSchemaLocationS3
* Describes the schema Location in Amazon S3.
*/
public void setDataSchemaLocationS3(String dataSchemaLocationS3) {
this.dataSchemaLocationS3 = dataSchemaLocationS3;
}
/**
*
* Describes the schema Location in Amazon S3.
*
*
* @return Describes the schema Location in Amazon S3.
*/
public String getDataSchemaLocationS3() {
return this.dataSchemaLocationS3;
}
/**
*
* Describes the schema Location in Amazon S3.
*
*
* @param dataSchemaLocationS3
* Describes the schema Location in Amazon S3.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public S3DataSpec withDataSchemaLocationS3(String dataSchemaLocationS3) {
setDataSchemaLocationS3(dataSchemaLocationS3);
return this;
}
/**
* 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 (getDataLocationS3() != null)
sb.append("DataLocationS3: " + getDataLocationS3() + ",");
if (getDataRearrangement() != null)
sb.append("DataRearrangement: " + getDataRearrangement() + ",");
if (getDataSchema() != null)
sb.append("DataSchema: " + getDataSchema() + ",");
if (getDataSchemaLocationS3() != null)
sb.append("DataSchemaLocationS3: " + getDataSchemaLocationS3());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof S3DataSpec == false)
return false;
S3DataSpec other = (S3DataSpec) obj;
if (other.getDataLocationS3() == null
^ this.getDataLocationS3() == null)
return false;
if (other.getDataLocationS3() != null
&& other.getDataLocationS3().equals(this.getDataLocationS3()) == false)
return false;
if (other.getDataRearrangement() == null
^ this.getDataRearrangement() == null)
return false;
if (other.getDataRearrangement() != null
&& other.getDataRearrangement().equals(
this.getDataRearrangement()) == false)
return false;
if (other.getDataSchema() == null ^ this.getDataSchema() == null)
return false;
if (other.getDataSchema() != null
&& other.getDataSchema().equals(this.getDataSchema()) == false)
return false;
if (other.getDataSchemaLocationS3() == null
^ this.getDataSchemaLocationS3() == null)
return false;
if (other.getDataSchemaLocationS3() != null
&& other.getDataSchemaLocationS3().equals(
this.getDataSchemaLocationS3()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime
* hashCode
+ ((getDataLocationS3() == null) ? 0 : getDataLocationS3()
.hashCode());
hashCode = prime
* hashCode
+ ((getDataRearrangement() == null) ? 0
: getDataRearrangement().hashCode());
hashCode = prime * hashCode
+ ((getDataSchema() == null) ? 0 : getDataSchema().hashCode());
hashCode = prime
* hashCode
+ ((getDataSchemaLocationS3() == null) ? 0
: getDataSchemaLocationS3().hashCode());
return hashCode;
}
@Override
public S3DataSpec clone() {
try {
return (S3DataSpec) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException(
"Got a CloneNotSupportedException from Object.clone() "
+ "even though we're Cloneable!", e);
}
}
}