Class S3DataSpec

java.lang.Object

com.amazonaws.services.machinelearning.model.S3DataSpec

All Implemented Interfaces:

Serializable, Cloneable

public class S3DataSpec
extends Object
implements Serializable, Cloneable

Describes the data specification of a DataSource.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
S3DataSpec()

Method Summary

Modifier and Type	Method	Description
S3DataSpec	clone()
boolean	equals(Object obj)
String	getDataLocationS3()	The location of the data file(s) used by a DataSource.
String	getDataRearrangement()	Describes the splitting requirement of a Datasource.
String	getDataSchema()	A JSON string that represents the schema for an Amazon S3 DataSource.
String	getDataSchemaLocationS3()	Describes the schema Location in Amazon S3.
int	hashCode()
void	setDataLocationS3(String dataLocationS3)	The location of the data file(s) used by a DataSource.
void	setDataRearrangement(String dataRearrangement)	Describes the splitting requirement of a Datasource.
void	setDataSchema(String dataSchema)	A JSON string that represents the schema for an Amazon S3 DataSource.
void	setDataSchemaLocationS3(String dataSchemaLocationS3)	Describes the schema Location in Amazon S3.
String	toString()	Returns a string representation of this object; useful for testing and debugging.
S3DataSpec	withDataLocationS3(String dataLocationS3)	The location of the data file(s) used by a DataSource.
S3DataSpec	withDataRearrangement(String dataRearrangement)	Describes the splitting requirement of a Datasource.
S3DataSpec	withDataSchema(String dataSchema)	A JSON string that represents the schema for an Amazon S3 DataSource.
S3DataSpec	withDataSchemaLocationS3(String dataSchemaLocationS3)	Describes the schema Location in Amazon S3.

Methods inherited from class Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Details

S3DataSpec

public S3DataSpec()

Method Details

setDataLocationS3

public void setDataLocationS3(String 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.

Parameters:

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.

getDataLocationS3

public String getDataLocationS3()

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.

Returns:

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.

withDataLocationS3

public S3DataSpec withDataLocationS3(String 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

setDataRearrangement

public void setDataRearrangement(String dataRearrangement)

Describes the splitting requirement of a Datasource.

Parameters:

dataRearrangement - Describes the splitting requirement of a Datasource.

getDataRearrangement

public String getDataRearrangement()

Describes the splitting requirement of a Datasource.

Returns:

Describes the splitting requirement of a Datasource.

withDataRearrangement

public S3DataSpec withDataRearrangement(String dataRearrangement)

Describes the splitting requirement of a Datasource.

Parameters:

dataRearrangement - Describes the splitting requirement of a Datasource.

Returns:

Returns a reference to this object so that method calls can be chained together.

setDataSchema

public void setDataSchema(String 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" ] }

invalid input: '<'?oxy_insert_end>

Parameters:

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" ] }

getDataSchema

public String getDataSchema()

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" ] }

invalid input: '<'?oxy_insert_end>

Returns:

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" ] }

withDataSchema

public S3DataSpec withDataSchema(String 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" ] }

invalid input: '<'?oxy_insert_end>

Parameters:

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" ] }

Returns:

Returns a reference to this object so that method calls can be chained together.

setDataSchemaLocationS3

public void setDataSchemaLocationS3(String dataSchemaLocationS3)

Describes the schema Location in Amazon S3.

Parameters:

dataSchemaLocationS3 - Describes the schema Location in Amazon S3.

getDataSchemaLocationS3

public String getDataSchemaLocationS3()

Describes the schema Location in Amazon S3.

Returns:

Describes the schema Location in Amazon S3.

withDataSchemaLocationS3

public S3DataSpec withDataSchemaLocationS3(String dataSchemaLocationS3)

Describes the schema Location in Amazon S3.

Parameters:

dataSchemaLocationS3 - Describes the schema Location in Amazon S3.

Returns:

Returns a reference to this object so that method calls can be chained together.

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:

• Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public S3DataSpec clone()

Overrides:

clone in class Object