Microsoft Machine Learning for Apache Spark¶
Contents:
- Pyspark Library
- AssembleFeatures
- BinaryFileReader
- CNTKLearner
- CNTKModel
- Cacher
- CheckpointData
- ClassBalancer
- CleanMissingData
- ComputeModelStatistics
- ComputePerInstanceStatistics
- CustomInputParser
- CustomOutputParser
- DataConversion
- DropColumns
- DynamicMiniBatchTransformer
- EnsembleByKey
- Explode
- FastVectorAssembler
- Featurize
- FindBestModel
- FixedMiniBatchTransformer
- FlattenBatch
- HTTPTransformer
- HyperparamBuilder
- ImageFeaturizer
- ImageReader
- ImageSetAugmenter
- ImageTransformer
- ImageWriter
- IndexToValue
- JSONInputParser
- JSONOutputParser
- Lambda
- LightGBMClassifier
- LightGBMRegressor
- ModelDownloader
- MultiColumnAdapter
- MultiNGram
- PartitionConsolidator
- PartitionSample
- PowerBIWriter
- RenameColumn
- Repartition
- SelectColumns
- ServingImplicits
- SimpleHTTPTransformer
- SummarizeData
- TextFeaturizer
- TextPreprocessor
- TimeIntervalMiniBatchTransformer
- Timer
- TrainClassifier
- TrainRegressor
- TuneHyperparameters
- TypeConversionUtils
- UDFTransformer
- UnrollImage
- Utils
- ValueIndexer
- ValueIndexerModel
- Scala Library