public class TrainUtil extends Object
Modifier and Type | Field and Description |
---|---|
static String |
ALGORITHM_PARAM |
static String |
CUTOFF_PARAM |
static String |
DATA_INDEXER_ONE_PASS_VALUE |
static String |
DATA_INDEXER_PARAM |
static String |
DATA_INDEXER_TWO_PASS_VALUE |
static String |
ITERATIONS_PARAM |
static String |
MAXENT_QN_VALUE |
static String |
MAXENT_VALUE |
static String |
PERCEPTRON_SEQUENCE_VALUE |
static String |
PERCEPTRON_VALUE |
Constructor and Description |
---|
TrainUtil() |
Modifier and Type | Method and Description |
---|---|
static boolean |
isSequenceTraining(Map<String,String> trainParams)
Detects if the training algorithm requires sequence based feature generation
or not.
|
static boolean |
isValid(Map<String,String> trainParams) |
static AbstractModel |
train(EventStream events,
Map<String,String> trainParams,
Map<String,String> reportMap) |
static AbstractModel |
train(SequenceStream events,
Map<String,String> trainParams,
Map<String,String> reportMap) |
public static final String ALGORITHM_PARAM
public static final String MAXENT_VALUE
public static final String MAXENT_QN_VALUE
public static final String PERCEPTRON_VALUE
public static final String PERCEPTRON_SEQUENCE_VALUE
public static final String CUTOFF_PARAM
public static final String ITERATIONS_PARAM
public static final String DATA_INDEXER_PARAM
public static final String DATA_INDEXER_ONE_PASS_VALUE
public static final String DATA_INDEXER_TWO_PASS_VALUE
public static AbstractModel train(EventStream events, Map<String,String> trainParams, Map<String,String> reportMap) throws IOException
IOException
public static boolean isSequenceTraining(Map<String,String> trainParams)
public static AbstractModel train(SequenceStream events, Map<String,String> trainParams, Map<String,String> reportMap) throws IOException
IOException
Copyright © 2017 The Apache Software Foundation. All rights reserved.