[DOCS] Add scatterplot matrix to outlier detection example #1507
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walterra
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Jan 21, 2021
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| If you want these charts to represent data from a larger sample size or from a | ||
| randomized selection of documents, you can change the default behavior. However, | ||
| these options might slow down the performance of the matrix. |
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slow down the performance of the matrix
Maybe this can be clarified with a bit more detail:
- A larger sample size might slow down the performance of the matrix on the client side.
- A randomized selection will create a "heavier" query and potentially put more load on the ES cluster. It will not affect the client side performance of the matrix in comparison with a non-randomized matrix with the same sample size.
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Thanks! I've changed the impact statement to this: "However,
a larger sample size might slow down the performance of the matrix and a
randomized selection might put more load on the cluster due to the more
intensive query."
szabosteve
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Jan 21, 2021
Co-authored-by: István Zoltán Szabó <[email protected]>
Co-authored-by: István Zoltán Szabó <[email protected]>
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Related to elastic/kibana#84420
This PR updates the screenshots in the outlier detection example (https://www.elastic.co/guide/en/machine-learning/master/ecommerce-outliers.html) and adds a paragraph about the new scatterplot matrix.
Preview: