trait PythonWrappable extends BaseWrappable
Linear Supertypes
Known Subclasses
BestModel, FindBestModel, FindBestModelParams, TuneHyperparameters, TuneHyperparametersModel, DoubleMLEstimator, DoubleMLModel, OrthoForestDMLEstimator, OrthoForestDMLModel, OrthoForestVariableTransformer, ResidualTransformer, Wrappable, CognitiveServicesBase, CognitiveServicesBaseNoHandler, HasCustomCogServiceDomain, HasSetLinkedService, HasSetLinkedServiceUsingLocation, HasSetLocation, 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, TextTranslatorBase, Translate, Transliterate, AnalyzeImage, DescribeImage, GenerateThumbnails, 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, ValueIndexerParams, MultiNGram, PageSplitter, TextFeaturizer, TextFeaturizerParams, AddressGeocoder, CheckPointInPolygon, HasSetGeography, ReverseAddressGeocoder, SuperpixelTransformer, UnrollBinaryImage, UnrollImage, ConcurrencyParams, CustomInputParser, CustomOutputParser, HTTPInputParser, HTTPOutputParser, HTTPTransformer, JSONInputParser, JSONOutputParser, SimpleHTTPTransformer, StringOutputParser, IsolationForest, IsolationForestModel, LightGBMBase, LightGBMClassificationModel, LightGBMClassifier, LightGBMModelMethods, LightGBMRanker, LightGBMRankerModel, LightGBMRegressionModel, LightGBMRegressor, LightGBMBinParams, LightGBMCategoricalParams, LightGBMDartParams, LightGBMDatasetParams, LightGBMExecutionParams, LightGBMFractionParams, LightGBMLearnerParams, LightGBMModelParams, LightGBMObjectiveParams, LightGBMParams, LightGBMPredictionParams, LightGBMSeedParams, LightGBMSlotParams, ConditionalKNN, ConditionalKNNModel, ConditionalKNNParams, KNN, KNNModel, KNNParams, ImageFeaturizer, ONNXModel, ImageSetAugmenter, ImageTransformer, RankingAdapter, RankingAdapterModel, RankingEvaluator, RankingTrainValidationSplit, RankingTrainValidationSplitModel, RecommendationIndexer, RecommendationIndexerModel, SAR, SARModel, SARParams, Cacher, ClassBalancer, ClassBalancerModel, DropColumns, DynamicMiniBatchTransformer, EnsembleByKey, Explode, FixedMiniBatchTransformer, FlattenBatch, Lambda, MiniBatchBase, MultiColumnAdapter, PartitionConsolidator, RenameColumn, Repartition, SelectColumns, StratifiedRepartition, SummarizeData, SummarizeDataParams, TextPreprocessor, TimeIntervalMiniBatchTransformer, Timer, TimerModel, TimerParams, UDFTransformer, UnicodeNormalize, AutoTrainer, CPISParams, ComputeModelStatistics, ComputeModelStatisticsParams, ComputePerInstanceStatistics, TrainClassifier, TrainRegressor, TrainedClassifierModel, TrainedRegressorModel, VectorZipper, VowpalWabbitBase, VowpalWabbitBaseLearner, VowpalWabbitBaseProgressive, VowpalWabbitBaseSpark, VowpalWabbitCSETransformer, VowpalWabbitClassificationModel, VowpalWabbitClassifier, VowpalWabbitContextualBandit, VowpalWabbitContextualBanditBase, VowpalWabbitContextualBanditModel, VowpalWabbitDSJsonTransformer, VowpalWabbitFeaturizer, VowpalWabbitGeneric, VowpalWabbitGenericModel, VowpalWabbitGenericProgressive, VowpalWabbitInteractions, VowpalWabbitRegressionModel, VowpalWabbitRegressor, RankingTrainValidationSplitParams, RecEvaluatorParams, OptimizedCKNNFitting, OptimizedKNNFitting
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pyParamGetter(p: Param[_]): String
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pyParamSetter(p: Param[_]): String
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pyParamsArgs: String
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pyParamsDefaults: String
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lazy val
pyParamsDefinitions: String
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pyParamsGetters: String
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pyParamsSetters: String
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pythonClass(): String
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lazy val
classNameHelper: String
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def
companionModelClassName: String
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lazy val
copyrightLines: String
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getParamInfo(p: Param[_]): ParamInfo[_]
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extractParamMap(): ParamMap
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lazy val
pyClassDoc: String
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lazy val
pyClassName: String
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def
pyExtraEstimatorImports: String
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def
pyExtraEstimatorMethods: String
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lazy val
pyInheritedClasses: Seq[String]
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lazy val
pyInternalWrapper: Boolean
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lazy val
pyObjectBaseClass: String
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def
pyParamArg[T](p: Param[T]): String
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def
pyParamDefault[T](p: Param[T]): Option[String]
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pyParamGetter(p: Param[_]): String
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def
pyParamSetter(p: Param[_]): String
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def
pyParamsArgs: String
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def
pyParamsDefaults: String
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lazy val
pyParamsDefinitions: String
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def
pyParamsGetters: String
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def
pyParamsSetters: String
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def
pythonClass(): String
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final
def
set(paramPair: ParamPair[_]): PythonWrappable.this.type
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final
def
set[T](param: Param[T], value: T): PythonWrappable.this.type
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final
def
setDefault(paramPairs: ParamPair[_]*): PythonWrappable.this.type
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def
setDefault[T](param: Param[T], value: T): PythonWrappable.this.type
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def
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def
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