From 8bbf82fff60a33e4cb3ea4e5a8de6c95a58fb8b9 Mon Sep 17 00:00:00 2001 From: Aditya Singh <72691999+as1605@users.noreply.github.com> Date: Wed, 25 Oct 2023 11:56:58 +0530 Subject: [PATCH] Update iteration.md | Spelling Minor spelling and grammar change --- docs/content/docs/development/iteration.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/content/docs/development/iteration.md b/docs/content/docs/development/iteration.md index 6e656beec..6edd1703d 100644 --- a/docs/content/docs/development/iteration.md +++ b/docs/content/docs/development/iteration.md @@ -31,10 +31,10 @@ algorithms, iteration might be used in offline or online training process. In general, two types of iterations are required and Flink ML supports both of them in order to provide the infrastructure for a variety of algorithms. -1. **Bounded Iteration**: Usually used in the offline case. In this case the - algorithm usually trains on a bounded dataset, it updates the parameters for +1. **Bounded Iteration**: Usually used in the offline case. In this case, the + algorithm usually trains on a bounded dataset. It updates the parameters for multiple rounds until convergence. -2. **Unbounded Iteration**: Usually used in the online case, in this case the +2. **Unbounded Iteration**: Usually used in the online case, in this case, the algorithm usually trains on an unbounded dataset. It accumulates a mini-batch of data and then do one update to the parameters. @@ -219,7 +219,7 @@ DataStream finalModel = resultStreams.get("final_model"); - `initParameters`: input data that needs to be transmitted through feedback edge. -- `dataset`: input data that does not need to be tarnsmitted through feed back +- `dataset`: input data that does not need to be transmitted through feedback edge. - `newModelUpdate`: data to be transmitted through feedback edge - `modelOutput`: final output of the iteration body