- IncrementalLearningSkeleton - Class in org.apache.flink.streaming.examples.ml
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Skeleton for incremental machine learning algorithm consisting of a
pre-computed model, which gets updated for the new inputs and new input data
for which the job provides predictions.
- IncrementalLearningSkeleton() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton
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- IncrementalLearningSkeleton.FiniteNewDataSource - Class in org.apache.flink.streaming.examples.ml
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Feeds new data for newData.
- IncrementalLearningSkeleton.FiniteNewDataSource() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteNewDataSource
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- IncrementalLearningSkeleton.FiniteTrainingDataSource - Class in org.apache.flink.streaming.examples.ml
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Feeds new training data for the partial model builder.
- IncrementalLearningSkeleton.FiniteTrainingDataSource() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteTrainingDataSource
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- IncrementalLearningSkeleton.LinearTimestamp - Class in org.apache.flink.streaming.examples.ml
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- IncrementalLearningSkeleton.LinearTimestamp() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.LinearTimestamp
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- IncrementalLearningSkeleton.PartialModelBuilder - Class in org.apache.flink.streaming.examples.ml
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Builds up-to-date partial models on new training data.
- IncrementalLearningSkeleton.PartialModelBuilder() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.PartialModelBuilder
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- IncrementalLearningSkeleton.Predictor - Class in org.apache.flink.streaming.examples.ml
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Creates newData using the model produced in batch-processing and the
up-to-date partial model.
- IncrementalLearningSkeleton.Predictor() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.Predictor
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- IncrementalLearningSkeletonData - Class in org.apache.flink.streaming.examples.ml.util
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- INPUT_PAIRS - Static variable in class org.apache.flink.streaming.examples.iteration.util.IterateExampleData
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- IterateExample - Class in org.apache.flink.streaming.examples.iteration
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Example illustrating iterations in Flink streaming.
- IterateExample() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample
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- IterateExample.InputMap - Class in org.apache.flink.streaming.examples.iteration
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Map the inputs so that the next Fibonacci numbers can be calculated while preserving the original input tuple A
counter is attached to the tuple and incremented in every iteration step
- IterateExample.InputMap() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.InputMap
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- IterateExample.MySelector - Class in org.apache.flink.streaming.examples.iteration
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OutputSelector testing which tuple needs to be iterated again.
- IterateExample.MySelector() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.MySelector
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- IterateExample.OutputMap - Class in org.apache.flink.streaming.examples.iteration
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Giving back the input pair and the counter
- IterateExample.OutputMap() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.OutputMap
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- IterateExample.Step - Class in org.apache.flink.streaming.examples.iteration
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Iteration step function that calculates the next Fibonacci number
- IterateExample.Step() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.Step
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- IterateExampleData - Class in org.apache.flink.streaming.examples.iteration.util
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