Java Code Examples for play.inject.Injector#instanceOf()
The following examples show how to use
play.inject.Injector#instanceOf() .
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Example 1
| Source File: LinearUCBPredictorConfig.java From samantha with MIT License | 6 votes |
|
public static PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector) {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daoConfigs = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
double alpha = 0.1;
if (predictorConfig.asMap().containsKey("alpha")) {
alpha = predictorConfig.getDouble("alpha");
}
double lambda = 1.0;
if (predictorConfig.asMap().containsKey("lambda")) {
lambda = predictorConfig.getDouble("lambda");
}
return new LinearUCBPredictorConfig(predictorConfig.getString("modelName"),
feaExtConfigs, predictorConfig.getStringList("features"),
predictorConfig.getInt("numMainFeatures"),
predictorConfig.getString("labelName"),
predictorConfig.getString("weightName"), daoConfigs, expanders, injector,
predictorConfig.getConfig("onlineOptimizationMethod"),
predictorConfig.getString("modelFile"),
predictorConfig.getString("daoConfigKey"), lambda, alpha,
predictorConfig.getStringList("evaluatorNames"), predictorConfig);
}
Example 2
| Source File: ESBasedIndexerConfig.java From samantha with MIT License | 6 votes |
|
static public IndexerConfig getIndexerConfig(Configuration indexerConfig,
Injector injector) {
ElasticSearchService elasticSearchService = injector
.instanceOf(ElasticSearchService.class);
String elasticSearchIndex = indexerConfig.getString("elasticSearchIndex");
Configuration settingConfig = indexerConfig.getConfig("elasticSearchSetting");
if (!elasticSearchService.existsIndex(elasticSearchIndex).isExists()) {
elasticSearchService.createIndex(elasticSearchIndex, settingConfig);
}
Configuration mappingConfig = indexerConfig.getConfig("elasticSearchMapping");
for (String typeName : mappingConfig.subKeys()) {
if (!elasticSearchService.existsType(elasticSearchIndex, typeName)
.isExists()) {
elasticSearchService.putMapping(elasticSearchIndex, typeName,
mappingConfig.getConfig(typeName));
}
}
return new ESBasedIndexerConfig(indexerConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get()),
elasticSearchIndex, indexerConfig.getString("indexTypeKey"),
indexerConfig.getString("indexType"),
indexerConfig.getStringList("uniqueFields"),
injector, indexerConfig.getString("daoConfigKey"),
indexerConfig);
}
Example 3
| Source File: ServerGlobal.java From samantha with MIT License | 6 votes |
|
public void beforeStart(Application application) {
Injector injector = application.injector();
Configuration configuration = application.configuration();
SamanthaConfigService configService = injector.instanceOf(SamanthaConfigService.class);
List<String> enabledEngines = configuration.getStringList(ConfigKey.ENGINES_ENABLED.get());
Configuration samanthaConfig = configuration.getConfig(ConfigKey.SAMANTHA_BASE.get());
for (String engine : enabledEngines) {
Configuration engineConfig = samanthaConfig.getConfig(engine);
List<String> schedulerNames = engineConfig.getStringList(ConfigKey.ENGINE_BEFORE_START_SCHEDULERS.get());
if (schedulerNames != null) {
for (String scheduler : schedulerNames) {
RequestContext peudoReq = new RequestContext(Json.newObject(), engine);
configService.getSchedulerConfig(scheduler, peudoReq).runJobs();
}
}
}
}
Example 4
| Source File: RegressionTreePredictorConfig.java From samantha with MIT License | 6 votes |
|
public static PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector) {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daoConfigs = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
return new RegressionTreePredictorConfig(predictorConfig.getString("modelName"),
feaExtConfigs, predictorConfig.getStringList("features"),
predictorConfig.getString("labelName"),
predictorConfig.getString("weightName"), daoConfigs, expanders, injector,
injector.instanceOf(TreeLearningMethod.class),
predictorConfig.getString("modelFile"),
predictorConfig.getString("daoConfigKey"), predictorConfig);
}
Example 5
| Source File: GBDTPredictorConfig.java From samantha with MIT License | 6 votes |
|
public static PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector) {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daoConfigs = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
int maxIter = predictorConfig.getInt("maxNumTrees");
StandardBoostingMethod boostingMethod = new StandardBoostingMethod(maxIter);
return new GBDTPredictorConfig(predictorConfig.getString("modelName"),
feaExtConfigs, predictorConfig.getStringList("features"),
predictorConfig.getString("labelName"),
predictorConfig.getString("weightName"), daoConfigs, expanders, injector,
injector.instanceOf(TreeLearningMethod.class),
predictorConfig.getStringList("groupKeys"),
predictorConfig.getString("modelFile"),
predictorConfig.getConfig("objectiveConfig"), boostingMethod,
predictorConfig.getString("daoConfigKey"),
predictorConfig);
}
Example 6
| Source File: XGBoostPredictorConfig.java From samantha with MIT License | 6 votes |
|
public static PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector) {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daoConfigs = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
int round = predictorConfig.getInt("numTrees");
return new XGBoostPredictorConfig(predictorConfig.getString("modelName"),
feaExtConfigs, predictorConfig.getStringList("features"),
predictorConfig.getString("labelName"),
predictorConfig.getString("weightName"), daoConfigs, expanders, injector,
new XGBoostMethod(predictorConfig.getConfig("methodConfig").asMap(), round),
predictorConfig.getString("modelFile"),
predictorConfig.getString("daoConfigKey"), predictorConfig);
}
Example 7
| Source File: NegativeSamplingExpander.java From samantha with MIT License | 6 votes |
|
public static EntityExpander getExpander(Configuration expanderConfig,
Injector injector, RequestContext requestContext) {
ModelService modelService = injector.instanceOf(ModelService.class);
SamanthaConfigService configService = injector.instanceOf(SamanthaConfigService.class);
configService.getPredictor(expanderConfig.getString("predictorName"), requestContext);
AbstractLearningModel model = (AbstractLearningModel) modelService.getModel(
requestContext.getEngineName(), expanderConfig.getString("modelName"));
String keyPrefix = expanderConfig.getString("keyPrefix");
if (keyPrefix == null) {
keyPrefix = expanderConfig.getString("itemAttr");
}
return new NegativeSamplingExpander(
expanderConfig.getString("itemAttr"),
expanderConfig.getString("itemIndex"), keyPrefix,
expanderConfig.getString("labelAttr"),
expanderConfig.getStringList("fillInAttrs"),
expanderConfig.getString("separator"),
expanderConfig.getString("joiner"),
expanderConfig.getInt("maxIdx"),
expanderConfig.getInt("maxNumSample"), model);
}
Example 8
| Source File: XGBoostGBCentPredictorConfig.java From samantha with MIT License | 5 votes |
|
public static PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector) {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daosConfig = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
return new XGBoostGBCentPredictorConfig(predictorConfig.getString("modelName"),
predictorConfig.getString("svdfeaModelName"), predictorConfig.getString("svdfeaPredictorName"),
predictorConfig.getStringList("treeFeatures"), feaExtConfigs, daosConfig, expanders,
predictorConfig.getConfig("methodConfig"), injector, predictorConfig.getString("modelFile"),
predictorConfig.getString("daoConfigKey"), predictorConfig);
}
Example 9
| Source File: PredictorBasedExpander.java From samantha with MIT License | 5 votes |
|
public static EntityExpander getExpander(Configuration expanderConfig,
Injector injector, RequestContext requestContext) {
String predictorName = expanderConfig.getString("predictorName");
SamanthaConfigService configService = injector.instanceOf(SamanthaConfigService.class);
Predictor predictor = configService.getPredictor(predictorName, requestContext);
String joiner = expanderConfig.getString("joiner");
if (joiner == null) {
joiner = ",";
}
return new PredictorBasedExpander(predictor, expanderConfig.getString("scoreAttr"),
expanderConfig.getString("scoresAttr"), joiner);
}
Example 10
| Source File: RegressionTreeGBCentPredictorConfig.java From samantha with MIT License | 5 votes |
|
public static PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector) {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daosConfig = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
return new RegressionTreeGBCentPredictorConfig(predictorConfig.getString("modelName"),
predictorConfig.getString("svdfeaModelName"), predictorConfig.getString("svdfeaPredictorName"),
predictorConfig.getStringList("treeFeatures"), predictorConfig.getStringList("groupKeys"),
feaExtConfigs, daosConfig, expanders,
predictorConfig.getConfig("methodConfig"), injector, predictorConfig.getString("modelFile"),
predictorConfig.getString("daoConfigKey"), predictorConfig);
}
Example 11
| Source File: RetrieverBasedExpander.java From samantha with MIT License | 5 votes |
|
public static EntityExpander getExpander(Configuration expanderConfig,
Injector injector, RequestContext requestContext) {
String retrieverName = expanderConfig.getString("retrieverName");
SamanthaConfigService configService = injector.instanceOf(SamanthaConfigService.class);
Retriever retriever = configService.getRetriever(retrieverName, requestContext);
return new RetrieverBasedExpander(retriever);
}
Example 12
| Source File: SVDFeaturePredictorConfig.java From samantha with MIT License | 5 votes |
|
static public PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector)
throws ConfigurationException {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daoConfigs = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
String dependPredictorName = null, dependPredictorModelName = null;
if (predictorConfig.asMap().containsKey("dependPredictorName")) {
dependPredictorName = predictorConfig.getString("dependPredictorName");
dependPredictorModelName = predictorConfig.getString("dependPredictorModelName");
}
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
List<String> evaluatorNames = new ArrayList<>();
if (predictorConfig.asMap().containsKey("evaluatorNames")) {
evaluatorNames = predictorConfig.getStringList("evaluatorNames");
}
return new SVDFeaturePredictorConfig(
predictorConfig.getStringList("biasFeas"),
predictorConfig.getStringList("ufactFeas"),
predictorConfig.getStringList("ifactFeas"),
predictorConfig.getStringList("groupKeys"),
evaluatorNames,
predictorConfig.getString("modelFile"),
predictorConfig.getString("modelName"),
predictorConfig.getString("labelName"),
predictorConfig.getString("weightName"),
predictorConfig.getInt("factDim"),
predictorConfig.getConfig("onlineOptimizationMethod"),
predictorConfig.getConfig("optimizationMethod"),
predictorConfig.getConfig("objectiveConfig"),
feaExtConfigs, daoConfigs,
dependPredictorName,
dependPredictorModelName, injector, expanders,
predictorConfig.getString("daoConfigKey"),
predictorConfig);
}
Example 13
| Source File: ESQueryBasedRetrieverConfig.java From samantha with MIT License | 5 votes |
|
static public RetrieverConfig getRetrieverConfig(Configuration retrieverConfig,
Injector injector)
throws ConfigurationException {
ElasticSearchService elasticSearchService = injector
.instanceOf(ElasticSearchService.class);
String elasticSearchIndex = retrieverConfig.getString("elasticSearchIndex");
Configuration settingConfig = retrieverConfig.getConfig("elasticSearchSetting");
if (!elasticSearchService.existsIndex(elasticSearchIndex).isExists()) {
elasticSearchService.createIndex(elasticSearchIndex, settingConfig);
}
String elasticSearchScoreName = retrieverConfig.getString("elasticSearchScoreName");
List<String> retrieveFields = retrieverConfig.getStringList("retrieveFields");
Configuration mappingConfig = retrieverConfig.getConfig("elasticSearchMapping");
for (String typeName : mappingConfig.subKeys()) {
if (!elasticSearchService.existsType(elasticSearchIndex, typeName)
.isExists()) {
elasticSearchService.putMapping(elasticSearchIndex, typeName,
mappingConfig.getConfig(typeName));
}
}
Boolean defaultMatchAll = retrieverConfig.getBoolean("defaultMatchAll", false);
return new ESQueryBasedRetrieverConfig(retrieverConfig.getString("elasticSearchIndex"),
elasticSearchScoreName, retrieverConfig.getString("retrieveType"),
retrieveFields, retrieverConfig.getString("elasticSearchReqKey"),
retrieverConfig.getString("setScrollKey"), defaultMatchAll,
injector, retrieverConfig, retrieverConfig.getString("queryKey"),
retrieverConfig.getStringList("matchFields"));
}
Example 14
| Source File: RetrieverBasedItemFilterExpander.java From samantha with MIT License | 5 votes |
|
public static EntityExpander getExpander(Configuration expanderConfig,
Injector injector, RequestContext requestContext) {
String retrieverName = expanderConfig.getString("retrieverName");
SamanthaConfigService configService = injector.instanceOf(SamanthaConfigService.class);
Retriever retriever = configService.getRetriever(retrieverName, requestContext);
boolean exclude = true;
if (expanderConfig.asMap().containsKey("exclude")) {
exclude = expanderConfig.getBoolean("exclude");
}
return new RetrieverBasedItemFilterExpander(retriever, expanderConfig.getStringList("itemAttrs"),
exclude);
}
Example 15
| Source File: RedisBasedJoinExpander.java From samantha with MIT License | 4 votes |
|
public static EntityExpander getExpander(Configuration expanderConfig,
Injector injector,
RequestContext requestContext) {
return new RedisBasedJoinExpander(expanderConfig.getConfigList("expandFields"),
injector.instanceOf(RedisService.class));
}
Example 16
| Source File: TensorFlowPredictorConfig.java From samantha with MIT License | 4 votes |
|
static public PredictorConfig getPredictorConfig(Configuration predictorConfig,
Injector injector)
throws ConfigurationException {
FeaturizerConfigParser parser = injector.instanceOf(
FeatureExtractorListConfigParser.class);
Configuration daoConfigs = predictorConfig.getConfig(ConfigKey.ENTITY_DAOS_CONFIG.get());
List<FeatureExtractorConfig> feaExtConfigs = parser.parse(predictorConfig
.getConfig(ConfigKey.PREDICTOR_FEATURIZER_CONFIG.get()));
List<Configuration> expanders = ExpanderUtilities.getEntityExpandersConfig(predictorConfig);
List<String> evaluatorNames = new ArrayList<>();
if (predictorConfig.asMap().containsKey("evaluatorNames")) {
evaluatorNames = predictorConfig.getStringList("evaluatorNames");
}
List<Configuration> checkConfigs = predictorConfig.getConfigList("equalSizeChecks");
List<List<String>> equalSizeChecks = new ArrayList<>();
if (checkConfigs != null) {
for (Configuration check : checkConfigs) {
equalSizeChecks.add(check.getStringList("featuresWithEqualSizes"));
}
}
return new TensorFlowPredictorConfig(
predictorConfig.getStringList("groupKeys"),
predictorConfig.getStringList("indexKeys"),
equalSizeChecks, evaluatorNames,
predictorConfig.getString("modelFile"),
predictorConfig.getString("modelName"),
feaExtConfigs, daoConfigs,
predictorConfig.getConfig("methodConfig"),
predictorConfig.getConfig("onlineMethodConfig"),
injector, expanders,
predictorConfig.getString("daoConfigKey"),
predictorConfig.getString("predItemFea"),
predictorConfig.getString("outputOper"),
predictorConfig.getString("updateOper"),
predictorConfig.getString("lossOper"),
predictorConfig.getString("initOper"),
predictorConfig.getString("topKOper"),
predictorConfig.getString("topKId"),
predictorConfig.getString("topKValue"),
predictorConfig.getString("itemIndex"),
predictorConfig.getString("graphDefFilePath"),
predictorConfig.getString("modelExportDir"),
predictorConfig);
}
Example 17
| Source File: ESBasedJoinExpander.java From samantha with MIT License | 4 votes |
|
public static EntityExpander getExpander(Configuration expanderConfig,
Injector injector, RequestContext requestContext) {
return new ESBasedJoinExpander(injector.instanceOf(ElasticSearchService.class),
expanderConfig.getString("elasticSearchIndex"),
expanderConfig.getConfigList("expandFields"));
}
