Package org.datavec.local.transforms

Class LocalTransformExecutor

java.lang.Object

org.datavec.local.transforms.LocalTransformExecutor

public class LocalTransformExecutor
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
static String	LOG_ERROR_PROPERTY

Constructor Summary

Constructors

Constructor	Description
LocalTransformExecutor()

Method Summary

Modifier and Type	Method	Description
static List<List<Writable>>	convertStringInput(List<List<String>> stringInput, Schema schema)	Convert a string time series to the proper writable set based on the schema.
static List<List<List<Writable>>>	convertStringInputTimeSeries(List<List<List<String>>> stringInput, Schema schema)	Convert a string time series to the proper writable set based on the schema.
static List<List<String>>	convertWritableInputToString(List<List<Writable>> stringInput, Schema schema)	Convert a string time series to the proper writable set based on the schema.
static List<List<List<String>>>	convertWritableInputToStringTimeSeries(List<List<List<Writable>>> stringInput, Schema schema)	Convert a string time series to the proper writable set based on the schema.
static List<List<Writable>>	execute(List<List<Writable>> inputWritables, TransformProcess transformProcess)	Execute the specified TransformProcess with the given input data Note: this method can only be used if the TransformProcess returns non-sequence data.
static List<List<Writable>>	executeJoin(Join join, List<List<Writable>> left, List<List<Writable>> right)	Execute a join on the specified data
static List<List<Writable>>	executeSequenceToSeparate(List<List<List<Writable>>> inputSequence, TransformProcess transformProcess)	Execute the specified TransformProcess with the given sequence input data Note: this method can only be used if the TransformProcess starts with sequence data, but returns non-sequential data (after reducing or converting sequential data to individual examples)
static List<List<List<Writable>>>	executeSequenceToSequence(List<List<List<Writable>>> inputSequence, TransformProcess transformProcess)	Execute the specified TransformProcess with the given sequence input data Note: this method can only be used if the TransformProcess starts with sequence data, and also returns sequence data
static List<List<List<Writable>>>	executeToSequence(List<List<Writable>> inputWritables, TransformProcess transformProcess)	Execute the specified TransformProcess with the given input data Note: this method can only be used if the TransformProcess starts with non-sequential data, but returns sequence data (after grouping or converting to a sequence as one of the steps)
static boolean	isTryCatch()	Returns true if the executor is in try catch mode.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

LOG_ERROR_PROPERTY

public static final String LOG_ERROR_PROPERTY

See Also:

Constant Field Values

Constructor Detail

LocalTransformExecutor

public LocalTransformExecutor()

Method Detail

execute

public static List<List<Writable>> execute(List<List<Writable>> inputWritables,
                                           TransformProcess transformProcess)

Execute the specified TransformProcess with the given input data
Note: this method can only be used if the TransformProcess returns non-sequence data. For TransformProcesses that return a sequence, use executeToSequence(List, TransformProcess)

Parameters:

inputWritables - Input data to process

transformProcess - TransformProcess to execute

Returns:

Processed data

executeToSequence

public static List<List<List<Writable>>> executeToSequence(List<List<Writable>> inputWritables,
                                                           TransformProcess transformProcess)

Execute the specified TransformProcess with the given input data
Note: this method can only be used if the TransformProcess starts with non-sequential data, but returns sequence data (after grouping or converting to a sequence as one of the steps)

Parameters:

inputWritables - Input data to process

transformProcess - TransformProcess to execute

Returns:

Processed (sequence) data

executeSequenceToSeparate

public static List<List<Writable>> executeSequenceToSeparate(List<List<List<Writable>>> inputSequence,
                                                             TransformProcess transformProcess)

Execute the specified TransformProcess with the given sequence input data
Note: this method can only be used if the TransformProcess starts with sequence data, but returns non-sequential data (after reducing or converting sequential data to individual examples)

Parameters:

inputSequence - Input sequence data to process

transformProcess - TransformProcess to execute

Returns:

Processed (non-sequential) data

executeSequenceToSequence

public static List<List<List<Writable>>> executeSequenceToSequence(List<List<List<Writable>>> inputSequence,
                                                                   TransformProcess transformProcess)

Execute the specified TransformProcess with the given sequence input data
Note: this method can only be used if the TransformProcess starts with sequence data, and also returns sequence data

Parameters:

inputSequence - Input sequence data to process

transformProcess - TransformProcess to execute

Returns:

Processed (non-sequential) data

convertWritableInputToString

public static List<List<String>> convertWritableInputToString(List<List<Writable>> stringInput,
                                                              Schema schema)

Convert a string time series to the proper writable set based on the schema. Note that this does not use arrow. This just uses normal writable objects.

Parameters:

stringInput - the string input

schema - the schema to use

Returns:

the converted records

convertStringInput

public static List<List<Writable>> convertStringInput(List<List<String>> stringInput,
                                                      Schema schema)

Convert a string time series to the proper writable set based on the schema. Note that this does not use arrow. This just uses normal writable objects.

Parameters:

stringInput - the string input

schema - the schema to use

Returns:

the converted records

convertWritableInputToStringTimeSeries

public static List<List<List<String>>> convertWritableInputToStringTimeSeries(List<List<List<Writable>>> stringInput,
                                                                              Schema schema)

Convert a string time series to the proper writable set based on the schema. Note that this does not use arrow. This just uses normal writable objects.

Parameters:

stringInput - the string input

schema - the schema to use

Returns:

the converted records

convertStringInputTimeSeries

public static List<List<List<Writable>>> convertStringInputTimeSeries(List<List<List<String>>> stringInput,
                                                                      Schema schema)

Convert a string time series to the proper writable set based on the schema. Note that this does not use arrow. This just uses normal writable objects.

Parameters:

stringInput - the string input

schema - the schema to use

Returns:

the converted records

isTryCatch

public static boolean isTryCatch()

Returns true if the executor is in try catch mode.

Returns:

executeJoin

public static List<List<Writable>> executeJoin(Join join,
                                               List<List<Writable>> left,
                                               List<List<Writable>> right)

Execute a join on the specified data

Parameters:

join - Join to execute

left - Left data for join

right - Right data for join

Returns:

Joined data