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Set the "Event classification for payment card fraud detection" tutorial as Keras 3 compatible. #1762

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merged 12 commits into from
Feb 19, 2024

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achoum
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@achoum achoum commented Feb 16, 2024

The event classification tutorial #1748 has the "This example uses Keras 2" tag. This change will replace it with the "This example uses Keras 3" tag.

AFAK, the two current errors are unrelated to this change.

@achoum achoum marked this pull request as ready for review February 16, 2024 08:12
{
"path": "event_classification_for_payment_card_fraud_detection",
"title": "Event classification for payment card fraud detection",
"subcategory": "Timeseries forecasting",
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Isn't it rather timeseries classification?

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You are right.
*Changed to "Timeseries classification".

To be even more accurate, we could have a new category such as "Time-sequence classification" or "Event classification", since a "Timeseries" implies a uniform sampling and a univariate numerical feature.

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You can have multidimensional timeseries. Generally all sequence data where the sequence step is a time step is referred to as timeseries.

@fchollet fchollet merged commit f8bad49 into keras-team:master Feb 19, 2024
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sitamgithub-MSIT pushed a commit to sitamgithub-MSIT/keras-io that referenced this pull request May 30, 2024
…ial as Keras 3 compatible. (keras-team#1762)

* Create example of transactions classification using Keras & Temporian

* Address comments

* Address all comments except one.

* s/keras core/keras 3 in text

* Address comments

* Update event_classification_for_payment_card_fraud_detection.py

* Adding .md and .ipynb files

* Set the "Event classification for payment card fraud detection" tutorial as Keras 3 compatible.

* Change category from "Timeseries forecasting" to "Timeseries classification"
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3 participants