Page History

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X (features) before splitting


(114984, 5)
X (features) splitting between test and training
Test:
(22997, 5)
Training:
(91987, 5)


Y (target) before splitting


(114984, 1)
Y (target) splitting between test and training 
Test:
(22997, 1)
Training:
(91987, 1)


W (weights) before splitting


(114984, 1)
W (weights) splitting between test and training 
Test:
(22997, 1)
Training:
(91987, 1)

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Note that the Dropout layer only applies when training is set to True such that no values are dropped during inference. When using model.fit, training will be appropriately set to Trueautomatically, and in other contexts, you can set the kwarg flag explicitly to True when calling the layer.

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