{{ mlTaskDesign.taskType === 'PREDICTION' && isTimeseriesPrediction() ? 'External features' : 'Features Handling'}} Some of the selected algorithms do not use external features

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Rejected, {{ featureAutoHandlingShortReason[feature.autoReason] }} {{ isCausalPrediction() | targetRoleName | capitalize }} variable Treatment variable Display only Dummy encoding None Target encoding Ordinal encoding Frequency encoding Presence flag Hashing Custom , drop missing , impute missing Presence flag Custom Avg-std rescaling Min-max rescaling Binarization Binning in {{feature.quantile_bin_nb_bins}} quantiles Cyclical datetime encoding Term hashing Term hashing + SVD TF/IDF vectorization Count vectorization Text embedding Custom Unfolding Custom Image embedding , drop missing , impute missing {{feature.sendToInput}}

No features matching filters

Handling of {{selection.selectedObjects.length}} selected features out of {{selection.allObjects.length}} available

Role

Type

Missing values handling

Numerical handling

Rescaling

Make derived features
(√x, x², log(x))

Category handling

Drop dummy

Text handling

Deep Learning Input Handling

External features selection

Some algorithms can leverage external features in addition to the target.
For each external feature, specify its availability:

Past Only

The feature is only available for past time steps (e.g., website visits, energy consumption).

Applies to {{ cachedAlgoLists.pastOnlyCompatible.length }} out of {{ cachedAlgoLists.enabledCount }} selected algorithms.

Not supported by selected algorithms.

Known in Advance

The feature is available for both past and future time steps (e.g., holidays, planned promotions).

Applies to {{ cachedAlgoLists.knownInAdvanceCompatible.length }} out of {{ cachedAlgoLists.enabledCount }} selected algorithms.

Not supported by selected algorithms.