Packages

trait BasicLogging extends Logging

Linear Supertypes
Logging, AnyRef, Any
Known Subclasses
BestModel, FindBestModel, TuneHyperparameters, TuneHyperparametersModel, CNTKModel, ImageFeaturizer, AddDocuments, AnalyzeBusinessCards, AnalyzeCustomModel, AnalyzeIDDocuments, AnalyzeImage, AnalyzeInvoices, AnalyzeLayout, AnalyzeReceipts, AnomalyDetectorBase, BingImageSearch, BreakSentence, CognitiveServicesBase, CognitiveServicesBaseNoHandler, ConversationTranscription, DescribeImage, Detect, DetectAnomalies, DetectFace, DetectLastAnomaly, DetectMultivariateAnomaly, DictionaryExamples, DictionaryLookup, DocumentTranslator, EntityDetector, EntityDetectorV2, FindSimilarFace, FitMultivariateAnomaly, FormOntologyLearner, FormOntologyTransformer, FormRecognizerBase, GenerateThumbnails, GetCustomModel, GroupFaces, IdentifyFaces, KeyPhraseExtractor, KeyPhraseExtractorV2, LanguageDetector, LanguageDetectorV2, ListCustomModels, MADBase, NER, NERV2, OCR, PII, ReadImage, RecognizeDomainSpecificContent, RecognizeText, SimpleDetectAnomalies, SpeechSDKBase, SpeechToText, SpeechToTextSDK, TAV3Mixins, TagImage, TextAnalyticsBase, TextAnalyze, TextSentiment, TextSentimentV2, TextToSpeech, TextTranslatorBase, Translate, Transliterate, VerifyFaces, ImageLIME, ImageSHAP, KernelSHAPBase, LIMEBase, TabularLIME, TabularSHAP, TextLIME, TextSHAP, VectorLIME, VectorSHAP, AggregateBalanceMeasure, DistributionBalanceMeasure, FeatureBalanceMeasure, CleanMissingData, CleanMissingDataModel, CountSelector, CountSelectorModel, DataConversion, Featurize, IndexToValue, ValueIndexer, ValueIndexerModel, MultiNGram, PageSplitter, TextFeaturizer, AddressGeocoder, CheckPointInPolygon, ReverseAddressGeocoder, ResizeImageTransformer, UnrollBinaryImage, UnrollImage, CustomInputParser, CustomOutputParser, HTTPTransformer, JSONInputParser, JSONOutputParser, SimpleHTTPTransformer, StringOutputParser, IsolationForest, IsolationForestModel, LightGBMBase, LightGBMClassificationModel, LightGBMClassifier, LightGBMRanker, LightGBMRankerModel, LightGBMRegressionModel, LightGBMRegressor, SuperpixelTransformer, ConditionalKNN, ConditionalKNNModel, KNN, KNNModel, ONNXModel, ImageSetAugmenter, ImageTransformer, RankingAdapter, RankingAdapterModel, RankingEvaluator, RankingTrainValidationSplit, RankingTrainValidationSplitModel, RecommendationIndexer, RecommendationIndexerModel, SAR, SARModel, Cacher, ClassBalancer, ClassBalancerModel, DropColumns, DynamicMiniBatchTransformer, EnsembleByKey, Explode, FixedMiniBatchTransformer, FlattenBatch, Lambda, MiniBatchBase, MultiColumnAdapter, PartitionConsolidator, RenameColumn, Repartition, SelectColumns, StratifiedRepartition, SummarizeData, TextPreprocessor, TimeIntervalMiniBatchTransformer, Timer, TimerModel, UDFTransformer, UnicodeNormalize, ComputeModelStatistics, ComputePerInstanceStatistics, TrainClassifier, TrainRegressor, TrainedClassifierModel, TrainedRegressorModel, VectorZipper, VowpalWabbitClassificationModel, VowpalWabbitClassifier, VowpalWabbitContextualBandit, VowpalWabbitContextualBanditModel, VowpalWabbitFeaturizer, VowpalWabbitInteractions, VowpalWabbitRegressionModel, VowpalWabbitRegressor, OptimizedCKNNFitting, OptimizedKNNFitting, ImageLIME, TabularLIME, TabularLIMEModel, TextLIME
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Inherited
  1. BasicLogging
  2. Logging
  3. AnyRef
  4. Any
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Abstract Value Members

  1. abstract val uid: String

Concrete Value Members

  1. def logClass(): Unit
  2. def logFit[T](f: ⇒ T): T
  3. def logPredict[T](f: ⇒ T): T
  4. def logTrain[T](f: ⇒ T): T
  5. def logTransform[T](f: ⇒ T): T
  6. def logVerb[T](verb: String, f: ⇒ T): T
  7. val ver: String