mmlspark package¶
Subpackages¶
- mmlspark.automl package
- mmlspark.cntk package
- mmlspark.cognitive package
- Submodules
- mmlspark.cognitive.AddDocuments module
- mmlspark.cognitive.AnalyzeImage module
- mmlspark.cognitive.AzureSearchWriter module
- mmlspark.cognitive.BingImageSearch module
- mmlspark.cognitive.DescribeImage module
- mmlspark.cognitive.DetectAnomalies module
- mmlspark.cognitive.DetectFace module
- mmlspark.cognitive.DetectLastAnomaly module
- mmlspark.cognitive.EntityDetector module
- mmlspark.cognitive.EntityDetectorV2 module
- mmlspark.cognitive.FindSimilarFace module
- mmlspark.cognitive.GenerateThumbnails module
- mmlspark.cognitive.GroupFaces module
- mmlspark.cognitive.IdentifyFaces module
- mmlspark.cognitive.KeyPhraseExtractor module
- mmlspark.cognitive.KeyPhraseExtractorV2 module
- mmlspark.cognitive.LanguageDetector module
- mmlspark.cognitive.LanguageDetectorV2 module
- mmlspark.cognitive.NER module
- mmlspark.cognitive.NERV2 module
- mmlspark.cognitive.OCR module
- mmlspark.cognitive.RecognizeDomainSpecificContent module
- mmlspark.cognitive.RecognizeText module
- mmlspark.cognitive.SimpleDetectAnomalies module
- mmlspark.cognitive.SpeechToText module
- mmlspark.cognitive.SpeechToTextSDK module
- mmlspark.cognitive.TagImage module
- mmlspark.cognitive.TextSentiment module
- mmlspark.cognitive.TextSentimentV2 module
- mmlspark.cognitive.VerifyFaces module
- Module contents
- mmlspark.core package
- mmlspark.cyber package
- mmlspark.doc package
- mmlspark.downloader package
- mmlspark.featurize package
- Subpackages
- Submodules
- mmlspark.featurize.AssembleFeatures module
- mmlspark.featurize.CleanMissingData module
- mmlspark.featurize.DataConversion module
- mmlspark.featurize.Featurize module
- mmlspark.featurize.IndexToValue module
- mmlspark.featurize.ValueIndexer module
- mmlspark.featurize.ValueIndexerModel module
- Module contents
- mmlspark.image package
- mmlspark.io package
- Subpackages
- mmlspark.io.binary package
- mmlspark.io.http package
- Submodules
- mmlspark.io.http.CustomInputParser module
- mmlspark.io.http.CustomOutputParser module
- mmlspark.io.http.HTTPFunctions module
- mmlspark.io.http.HTTPTransformer module
- mmlspark.io.http.JSONInputParser module
- mmlspark.io.http.JSONOutputParser module
- mmlspark.io.http.PartitionConsolidator module
- mmlspark.io.http.ServingFunctions module
- mmlspark.io.http.SimpleHTTPTransformer module
- mmlspark.io.http.StringOutputParser module
- Module contents
- mmlspark.io.image package
- mmlspark.io.powerbi package
- Submodules
- mmlspark.io.IOImplicits module
- Module contents
- Subpackages
- mmlspark.isolationforest package
- mmlspark.lightgbm package
- mmlspark.lime package
- mmlspark.nn package
- mmlspark.opencv package
- mmlspark.plot package
- mmlspark.recommendation package
- Submodules
- mmlspark.recommendation.RankingAdapter module
- mmlspark.recommendation.RankingAdapterModel module
- mmlspark.recommendation.RankingEvaluator module
- mmlspark.recommendation.RankingTrainValidationSplit module
- mmlspark.recommendation.RankingTrainValidationSplitModel module
- mmlspark.recommendation.RecommendationIndexer module
- mmlspark.recommendation.RecommendationIndexerModel module
- mmlspark.recommendation.SAR module
- mmlspark.recommendation.SARModel module
- Module contents
- mmlspark.stages package
- Submodules
- mmlspark.stages.Cacher module
- mmlspark.stages.DropColumns module
- mmlspark.stages.DynamicMiniBatchTransformer module
- mmlspark.stages.EnsembleByKey module
- mmlspark.stages.Explode module
- mmlspark.stages.FixedMiniBatchTransformer module
- mmlspark.stages.FlattenBatch module
- mmlspark.stages.Lambda module
- mmlspark.stages.MultiColumnAdapter module
- mmlspark.stages.RenameColumn module
- mmlspark.stages.Repartition module
- mmlspark.stages.SelectColumns module
- mmlspark.stages.StratifiedRepartition module
- mmlspark.stages.SummarizeData module
- mmlspark.stages.TextPreprocessor module
- mmlspark.stages.TimeIntervalMiniBatchTransformer module
- mmlspark.stages.Timer module
- mmlspark.stages.UDFTransformer module
- mmlspark.stages.UnicodeNormalize module
- Module contents
- mmlspark.train package
- mmlspark.vw package
Module contents¶
MicrosoftML is a library of Python classes to interface with the Microsoft scala APIs to utilize Apache Spark to create distibuted machine learning models.
MicrosoftML simplifies training and scoring classifiers and regressors, as well as facilitating the creation of models using the CNTK library, images, and text.