@yu-iskw (github)


7 packages:

yu-iskw/bisecting-kmeans: This is a prototype implementation of Bisecting K-Means Clustering on Spark.

Latest release: 0.1.1 (2015-08-28) / (0)

yu-iskw/click-through-rate-prediction: Kaggle's click through rate prediction with Pipeline API

Latest release: 1.1 (2016-02-10) / (0)

yu-iskw/spark-parallelized-sgd: Parallelized Stochastic Gradient Descent (SGD) with Apache Spark

Latest release: 0.0.2 (2016-03-30) / (0)

yu-iskw/gihyo-spark-book-example: 技術評論社「詳解Apache Spark」のサンプルコード

Latest release: 1.0.1 (2016-04-22) / (1)

yu-iskw/spark-kuromoji-tokenizer: Kuromoji Tokenizer for Spark DataFrame

Latest release: 1.2.0 (2016-06-29) / (0)

yu-iskw/spark-ranking-algorithms: Ranking algorithms for Spark DataFrame

Latest release: 0.0.4 (2016-08-26) / (0)

yu-iskw/spark-streaming-with-google-cloud-example: an example of integrating Spark Streaming with Google Pub/Sub and Google Datastore

No release yet / (0)