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Commit b4f1664

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Upgraded Confluent CLI commands to CP53
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‎h2o-gbm/readme.md

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@@ -37,15 +37,15 @@ You can easily test this by yourself. Here are the steps:
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* Start Kafka, e.g. with Confluent CLI:
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confluent start kafka
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confluent local start kafka
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* Create topics AirlineInputTopic and AirlineOutputTopic
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kafka-topics --bootstrap-server localhost:9092 --create --topic AirlineInputTopic --partitions 3 --replication-factor 1
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kafka-topics --bootstrap-server localhost:9092 --create --topic AirlineOutputTopic --partitions 3 --replication-factor 1
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* Start the Kafka Streams app:
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java -cp h2o-gbm/target/h2o-gbm-CP51_AK21-jar-with-dependencies.jar com.github.megachucky.kafka.streams.machinelearning.Kafka_Streams_MachineLearning_H2O_GBM_Example
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java -cp h2o-gbm/target/h2o-gbm-CP53_AK23-jar-with-dependencies.jar com.github.megachucky.kafka.streams.machinelearning.Kafka_Streams_MachineLearning_H2O_GBM_Example
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* Send messages, e.g. with kafkacat:
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echo -e "1987,10,14,3,741,730,912,849,PS,1451,NA,91,79,NA,23,11,SAN,SFO,447,NA,NA,0,NA,0,NA,NA,NA,NA,NA,YES,YES" | kafkacat -b localhost:9092 -P -t AirlineInputTopic

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