public class QNTrainer extends AbstractEventTrainer
| Modifier and Type | Field and Description |
|---|---|
static double |
L1COST_DEFAULT |
static java.lang.String |
L1COST_PARAM |
static double |
L2COST_DEFAULT |
static java.lang.String |
L2COST_PARAM |
static int |
M_DEFAULT |
static java.lang.String |
M_PARAM |
static int |
MAX_FCT_EVAL_DEFAULT |
static java.lang.String |
MAX_FCT_EVAL_PARAM |
static java.lang.String |
MAXENT_QN_VALUE |
static int |
THREADS_DEFAULT |
static java.lang.String |
THREADS_PARAM |
DATA_INDEXER_ONE_PASS_REAL_VALUE, DATA_INDEXER_ONE_PASS_VALUE, DATA_INDEXER_PARAM, DATA_INDEXER_TWO_PASS_VALUEALGORITHM_PARAM, CUTOFF_DEFAULT, CUTOFF_PARAM, ITERATIONS_DEFAULT, ITERATIONS_PARAM, TRAINER_TYPE_PARAM, VERBOSE_DEFAULT, VERBOSE_PARAMEVENT_VALUE| Constructor and Description |
|---|
QNTrainer() |
QNTrainer(boolean printMessages) |
QNTrainer(int m) |
QNTrainer(int m,
boolean verbose) |
QNTrainer(int m,
int maxFctEval,
boolean printMessages) |
QNTrainer(TrainingParameters parameters) |
| Modifier and Type | Method and Description |
|---|---|
AbstractModel |
doTrain(DataIndexer indexer) |
void |
init(java.util.Map<java.lang.String,java.lang.String> trainParams,
java.util.Map<java.lang.String,java.lang.String> reportMap)
Deprecated.
|
void |
init(TrainingParameters trainingParameters,
java.util.Map<java.lang.String,java.lang.String> reportMap) |
boolean |
isSortAndMerge() |
boolean |
isValid()
Deprecated.
|
QNModel |
trainModel(int iterations,
DataIndexer indexer) |
void |
validate()
Check parameters.
|
getDataIndexer, train, traingetAlgorithm, getCutoff, getIterationspublic static final java.lang.String MAXENT_QN_VALUE
public static final java.lang.String THREADS_PARAM
public static final int THREADS_DEFAULT
public static final java.lang.String L1COST_PARAM
public static final double L1COST_DEFAULT
public static final java.lang.String L2COST_PARAM
public static final double L2COST_DEFAULT
public static final java.lang.String M_PARAM
public static final int M_DEFAULT
public static final java.lang.String MAX_FCT_EVAL_PARAM
public static final int MAX_FCT_EVAL_DEFAULT
public QNTrainer(TrainingParameters parameters)
public QNTrainer(boolean printMessages)
public QNTrainer(int m)
public QNTrainer(int m,
boolean verbose)
public QNTrainer(int m,
int maxFctEval,
boolean printMessages)
public QNTrainer()
public void init(TrainingParameters trainingParameters, java.util.Map<java.lang.String,java.lang.String> reportMap)
init in interface EventTrainerinit in class AbstractTrainer@Deprecated
public void init(java.util.Map<java.lang.String,java.lang.String> trainParams,
java.util.Map<java.lang.String,java.lang.String> reportMap)
init in interface EventTrainerinit in class AbstractTrainerpublic void validate()
AbstractTrainervalidate in class AbstractEventTrainer@Deprecated public boolean isValid()
isValid in class AbstractEventTrainerpublic boolean isSortAndMerge()
isSortAndMerge in class AbstractEventTrainerpublic AbstractModel doTrain(DataIndexer indexer) throws java.io.IOException
doTrain in class AbstractEventTrainerjava.io.IOExceptionpublic QNModel trainModel(int iterations, DataIndexer indexer)
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