object RandomWalkEmbeddings extends Serializable
Companion object for RandomWalkEmbeddings.
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- val embeddingColName: String
Name of the embedding column in the output DataFrame.
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- def pythonAPI(graph: GraphFrame, useEdgeDirection: Boolean, rwModel: String, rwMaxNbrs: Int, rwNumWalksPerNode: Int, rwBatchSize: Int, rwNumBatches: Int, rwSeed: Long, rwRestartProbability: Double, rwTemporaryPrefix: String, rwCachedWalks: String, sequenceModel: String, hash2vecContextSize: Int, hash2vecNumPartitions: Int, hash2vecEmbeddingsDim: Int, hash2vecDecayFunction: String, hash2vecGaussianSigma: Double, hash2vecHashingSeed: Int, hash2vecSignSeed: Int, hash2vecDoL2Norm: Boolean, hash2vecSafeL2: Boolean, word2vecMaxIter: Int, word2vecEmbeddingsDim: Int, word2vecWindowSize: Int, word2vecNumPartitions: Int, word2vecMinCount: Int, word2vecMaxSentenceLength: Int, word2vecSeed: Long, word2vecStepSize: Double, aggregateNeighbors: Boolean, aggregateNeighborsMaxNbrs: Int, aggregateNeighborsSeed: Long, cleanUpAfterRun: Boolean): DataFrame
While this API is public, it is not recommended to use it.
While this API is public, it is not recommended to use it. The only purpose of this API is to provide a smooth way to initialize the whole embeddings pipeline with a single method call that is usable for Python API (py4j and Spark Connect).
Instead of this API it is recommended to use new + settters of the class!
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