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causality-core/src

summary
public	C CausalNetCore CausalNetCore class provides access to core function and core tensor
public	C Event class Event is the primitive class for composing higher event-based class.
public	C Functor class Functor is the primitive class for composing higher functor based class.
public	C Store class Store is the primitive class for composing higher storage class.
public	C Tensor class Tensor is the primitive class for composing higher tensor based class.
public	V causalNetCore: CausalNetCore

causality-datasets/src

summary
public	C CausalNetDataSource This CausalNetDataSource class provides a standard implementation for pipeline Source.
public	C DataSourceMixins This pipeline mixin provides DataSourceReader attibute, source reading methods for pipeline and getting Source in pipelineConfig
public	V causalNetDataSource: CausalNetDataSource

causality-datasets/src/Readers

summary
public	C BufferReaderMixins
public	C CSVReaderMixins
public	C PNGReaderMixins

causality-deployment/src

summary
public	C CausalNetDeployment The implementation for event-based model deployment which is supplied to pipeline class instance as Deployment attribute.
public	C DeploymentMixins This mixin class provides attributes: Deployment, Inferencer, and handle Deployment setting of pipelineConfig.
public	V causalNetDeployment: CausalNetDeployment

causality-layer/src

summary
public	C LayerRunnerMixins This mixin class provide attributes: ParameterInitializer, LayerRunner, and handle Net setting of pipelineConfig

causality-layer/src/CausalNetLayers

summary
public	C CausalNetLayers This class provides common used layers which can be accessed via causalNetLayers instance.
public	C ConvolutionMixins
public	C DenseLayerMixins
public	C RecurrentMixins
public	V causalNetLayers: CausalNetLayers

causality-layer/src/CausalNetParameters

summary
public	C CausalNetParameters This class is a standard implementation for model parameters which can be accessed via causalNetParameters instance { mixWith: [StorageMixins, ParameterMixins] }
public	C ParameterMixins
public	C ParameterFunctor
public	C ParameterFunctorMixins
public	V causalNetParameters: CausalNetParameters
public	V parameterFunctor: ParameterFunctor

causality-layer/src/CausalNetRunner

summary
public	C CausalNetRunner This CausalNetRunner class provide net excecutor which is provided pipeline instance at LayerRunner attribute.
public	C RunnerMixins This RunnerMixins class provide methods for runner class.
public	V causalNetRunner: CausalNetRunner

causality-log/src

summary
public	C BaseLogger This BaseLogger class provided abstract class for extending new logger class
public	C LoggerMixins This LoggerMixins class provides mixins for accquiring logger
public	C JsonView
public	C TermLogger This TermLogger provide isomorphic logger { mixWith : { 'node': [LogNodeMixins], 'web': [WebNodeMixins] } }
public	C LogNodeMixins
public	C LogWebMixins
public	V termLogger: TermLogger

causality-log/src/Vivid

summary
public	C LineChartMixins
public	C PlotMixins
public	C ScatterChartMixins
public	C Vivid
public	C VividNodeMixins
public	C VividWebMixins
public	V vivid: Vivid

causality-memcache/src

summary
public	C MemCacheMixins This mixins class provides attributes: MemCache.
public	C MemdownCache This class provides storage implementation for memory caching on top of memdown which can be accessed via memDownCache.
public	C MemorizingMixins This MemorizingMixins class is a mixins class for implement memory methods
public	V memdownCache: MemdownCache

causality-memory/src

summary
public	C CausalNetMemory This class is under experimented
public	V causalNetMemory: CausalNetMemory

causality-models/src

summary
public	C BaseModel
public	C CausalNetModels This class provide common used models which can be accessed via causalNetModels instance.
public	C ModelMixins
public	C SingleLabelClassification
public	V causalNetModels: CausalNetModels

causality-optimizers/src

summary
public	C EvaluatorMixins This mixin class provides methods: test and handle TestDataGenerator setting of pipelineConfig.Dataset.
public	C TrainerMixins This mixin class provides attributes: Optimizer, Trainer, TrainDataGenerator, methods train, handle Optimizer setting of pipelineConfig.Net and TrainDataGenerator setting of pipelineConfig.Dataset.

causality-optimizers/src/StochasticGradientDescent

summary
public	C SGDFitParamsMixins
public	C AdamOptimizer
public	C CausalNetSGDOptimizer This class provides optimizing methods which can be accessed via causalNetSGDOptimizer instance.
public	C Functor
public	V causalNetSGDOptimizer: CausalNetSGDOptimizer
public	V functor: Functor

causality-preprocessing/src

summary
public	C CausalNetPreprocessingStream
public	C ImagePreprocessing This ImagePreprocessing provide methods for preprocessing image data { MixWith: [ ColorTransformingMixins, ImageSplittingMixins ] }
public	C NLPPreprocessing This NLPPreprocessing class provide methods for preprocessing text and output valid tokens.
public	C PreprocessingMixins
public	C TabularPreprocessing
public	V causalNetPreprocessingStream: CausalNetPreprocessingStream
public	V imagePreprocessing: ImagePreprocessing
public	V nLPPreprocessing: NLPPreprocessing
public	V tabularPreprocessing: TabularPreprocessing

causality-preprocessing/src/Image

summary
public	C ColorTransformingMixins
public	C ImageScalingMixins
public	C ImageSplittingMixins
public	F boxScaling(buffer: , originSize: , newSize: ):

causality-preprocessing/src/NLP

summary
public	C TokenTransformingMixins

causality-preprocessing/src/Tabular

summary
public	C CategoryNormalizingMixins
public	C ItemNormalizingMixins

causality-preprocessing/src/Tokenizer

summary
public	C SentencePieceTokenizer
public	C Tokenizer This Tokenizer class is for tokenizer sentence
public	C Trie
public	F stringToChars(input: ):
public	V tokenizer: Tokenizer

causality-representation/src

summary
public	C CausalNetEmbedding This CausalNetEmbedding provide methods for transform raw tokenized sentence into its single vector representation mixWith: [ StorageMixins, MemCacheMixins, TokenLookUpMixins, ChunkLookUpMixins, WordEmbeddingMixins ])}
public	C Functor This Function class provides methods for common used ultilities function
public	C RepresentationMixins This mixin class provides attributes: Representation.
public	C UniversalEmbedding This UniversalEmbedding provide methods for transform sentences into its single vector representation based on use
public	C VectorMetricMixins This VectorMetricMixins class is provide methods for comparing vector representation of different sentences
public	C WordEmbeddingMixins This WordEmbeddingMixins class is provide methods for transforn sentences, tokens to vectors
public	C WordEmbeddingFunctorMixins
public	V causalNetEmbedding: CausalNetEmbedding
public	V functor: Functor
public	V universalEmbedding: UniversalEmbedding

causality-representation/src/Lookup

summary
public	C ChunkLookupMixins This ChunkLookupMixins class provide mixins for chunk lookup that first look from the cached chunk then fetch and cache new chunk
public	C TokenLookUpMixins

causality-sampling/src

summary
public	C CausalNetSampling This class provides common used sampling methods which can be accessed via causalNetSampling.
public	C NegativeSamplingMixins
public	C SamplingMixins This mixin class provide attributes: Sampling.
public	C SubSamplingMixins
public	V causalNetSampling: CausalNetSampling

causality-storage/src

summary
public	C CSVFileMixins This CSVFileMixins class provide mixins for handle read/write/fetch csv content
public	C PNGFileMixins This LevelJSMixins class provide mixins for handle read/write/fetch png content
public	C IndexDBStorage This indexDBStorage class is the default consistent storage based on leveldown storage with support file extends: png, csv, text by those corresponding mixins.
public	C LevelDownMixins This LevelDownMixins class provide mixins for implement indexDB-based storage class with leveldown storage on node environment
public	C LevelJSMixins This LevelJSMixins class provide mixins for implement indexDB-based storage class with level-js storage on web environment
public	C StorageMixins This indexDBStorage class is the default consistent storage based on leveldown storage with support file extends: png, csv, text by those corresponding mixins.
public	C TextFileMixins
public	V indexDBStorage: IndexDBStorage

causality-utils/src

summary
public	C Assert This Assert class provides asserting methods based on builtin generate-schema, and schema checking ajv
public	C BufferUtils This BufferUtils class provide methods for fetch/write/read buffer @todo: verify on web environment
public	C CSVUtils This CSVUtils class use csv-parser for csv parsing and transform csv data from fetch.
public	C Fetch This isomorphic fetch class is mixed with: NodeStreamMixins WebStreamMixins
public	C NodeStreamMixins(FetchClass: Class ): Class mixins function for fetch on node environment
public	C WebStreamMixins
public	C JSONUtils This JSONUtils class provide wrapper for json5 for fetch/write/read json @todo: verify on web environment
public	C Platform This Platform class wrap platform for checking current platform either 'node' or 'web'.
public	C PNGUtils This PNGUtils class use pngjs3 for png parsing and transform png data from fetch.
public	C Stream This Stream class provide wrapper functions for readable-stream
public	V assert: Assert
public	V bufferUtils: BufferUtils
public	V cSVUtils: CSVUtils
public	V fetch: Fetch
public	V jsonUtils: JSONUtils
public	V platform: Platform
public	V pNGUtils: PNGUtils
public	V streamUtils: Stream

causality/src

summary
public	C CausalNet The CausalNet class is the prebuilt pipeline with methods for processing data/train/evaluate/deploy/ensemble deploy { mixWith: [ DataSourceMixins, PreprocessingMixins, LayerRunnerMixins, ModelMixins, EvaluatorMixins, TrainerMixins, LoggerMixins, DeploymentMixins, EnsembleTrainerMixins, EnsembleModelMixins, EnsembleDeploymentMixins ] }
public	C Functor This Functor class provides common used data processing methods for pipeline
public	V causalNet: CausalNet
public	V functor: Functor

causality/src/Ensemble

summary
public	C EnsembleDeploymentMixins The EnsembleDeploymentMixins class is the mixis class for deploying ensemble model
public	C EnsembleEvaluatorMixins
public	C EnsembleModelMixins The EnsembleModelMixins class is the mixis class for ensemble model caller
public	C EnsembleTrainerMixins The EnsembleTrainerMixins class is the mixins class for training ensamblable models

Directories

CausalNetLayers

CausalNetParameters

CausalNetRunner

StochasticGradientDescent