Packages

trait SynapseMLLogging extends Logging

Linear Supertypes
Logging, AnyRef, Any
Known Subclasses
BestModel, FindBestModel, TuneHyperparameters, TuneHyperparametersModel, DoubleMLEstimator, DoubleMLModel, OrthoForestDMLEstimator, OrthoForestDMLModel, OrthoForestVariableTransformer, ResidualTransformer, CognitiveServicesBase, CognitiveServicesBaseNoHandler, HasCognitiveServiceInput, AnomalyDetectorBase, DetectAnomalies, DetectLastAnomaly, DetectLastMultivariateAnomaly, MADBase, SimpleDetectAnomalies, SimpleDetectMultivariateAnomaly, SimpleFitMultivariateAnomaly, BingImageSearch, DetectFace, FindSimilarFace, GroupFaces, IdentifyFaces, VerifyFaces, AnalyzeBusinessCards, AnalyzeCustomModel, AnalyzeDocument, AnalyzeIDDocuments, AnalyzeInvoices, AnalyzeLayout, AnalyzeReceipts, FormOntologyLearner, FormOntologyTransformer, FormRecognizerBase, GetCustomModel, ListCustomModels, AnalyzeText, OpenAIChatCompletion, OpenAICompletion, OpenAIEmbedding, OpenAIPrompt, AddDocuments, ConversationTranscription, SpeakerEmotionInference, SpeechSDKBase, SpeechToText, SpeechToTextSDK, TextToSpeech, BreakSentence, Detect, DictionaryExamples, DictionaryLookup, DocumentTranslator, TextAsOnlyEntity, TextTranslatorBase, Translate, Transliterate, AnalyzeImage, DescribeImage, GenerateThumbnails, HasImageInput, OCR, ReadImage, RecognizeDomainSpecificContent, RecognizeText, TagImage, ICETransformer, 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, SuperpixelTransformer, UnrollBinaryImage, UnrollImage, CustomInputParser, CustomOutputParser, HTTPTransformer, JSONInputParser, JSONOutputParser, SimpleHTTPTransformer, StringOutputParser, IsolationForest, IsolationForestModel, LightGBMBase, LightGBMClassificationModel, LightGBMClassifier, LightGBMRanker, LightGBMRankerModel, LightGBMRegressionModel, LightGBMRegressor, ConditionalKNN, ConditionalKNNModel, KNN, KNNModel, ImageFeaturizer, ONNXModel, ImageSetAugmenter, ImageTransformer, CressieRead, CressieReadInterval, Ips, Snips, 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, KahanSumAggregator, VectorZipper, VowpalWabbitCSETransformer, VowpalWabbitClassificationModel, VowpalWabbitClassifier, VowpalWabbitContextualBandit, VowpalWabbitContextualBanditModel, VowpalWabbitDSJsonTransformer, VowpalWabbitFeaturizer, VowpalWabbitGeneric, VowpalWabbitGenericModel, VowpalWabbitGenericProgressive, VowpalWabbitInteractions, VowpalWabbitRegressionModel, VowpalWabbitRegressor, OptimizedCKNNFitting, OptimizedKNNFitting
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SynapseMLLogging
  2. Logging
  3. AnyRef
  4. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract val uid: String

Concrete Value Members

  1. def logClass(featureName: String): Unit
  2. def logFit[T](f: ⇒ T, columns: Int): T
  3. def logTransform[T](f: ⇒ T, columns: Int): T
  4. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T