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docs: fix typos (#3270)
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Signed-off-by: Ajay Gonepuri <[email protected]>
Co-authored-by: Jo Stichbury <[email protected]>
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HKABIG and stichbury authored Nov 6, 2023
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2 changes: 1 addition & 1 deletion docs/source/deployment/aws_batch.md
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Expand Up @@ -297,7 +297,7 @@ def _track_batch_job(job_id: str, client: Any) -> None:

#### Set up Batch-related configuration

You'll need to set the Batch-related configuration that the runner will use. Add a `parameters.yml` file inside the `conf/aws_batch/` directory created as part of the prerequistes with the following keys:
You'll need to set the Batch-related configuration that the runner will use. Add a `parameters.yml` file inside the `conf/aws_batch/` directory created as part of the prerequisites with the following keys:

```yaml
aws_batch:
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2 changes: 1 addition & 1 deletion docs/source/experiment_tracking/index.md
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Expand Up @@ -23,7 +23,7 @@ Kedro has always supported parameter versioning (as part of your codebase with a

Kedro-Viz version 4.1.1 introduced metadata capture, visualisation, discovery and comparison, enabling you to access, edit and [compare your experiments](#access-run-data-and-compare-runs) and additionally [track how your metrics change over time](#view-and-compare-metrics-data).

Kedro-Viz version 5.0 also supports the [display and comparison of plots, such as Plotly and Matplotlib](../visualisation/visualise_charts_with_plotly.md). Support for metric plots (timeseries and parellel coords) was added to Kedro-Viz version 5.2.1.
Kedro-Viz version 5.0 also supports the [display and comparison of plots, such as Plotly and Matplotlib](../visualisation/visualise_charts_with_plotly.md). Support for metric plots (timeseries and parallel coords) was added to Kedro-Viz version 5.2.1.

Kedro-Viz version 6.2 includes support for collaborative experiment tracking using a cloud storage solution. This means that multiple users can store their experiment data in a centralized remote storage, such as AWS S3, and access it through Kedro-Viz.

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