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Showing content from https://github.com/signals-dev/Orion/issues/261 below:

Adjusting builds for TadGAN · Issue #261 · sintel-dev/Orion · GitHub

Description

In the current version of TadGAN, we build the model with every fit call

self._build_tadgan(**kwargs)

When we can to continue training, we do not necessarily need to rebuild the model. To fix this issue, we can introduce a flag to indicate if/when to build the model

if build:
    self._augment_hyperparameters(X, y, kwargs)
    self._set_shapes()
    self._build_tadgan(**kwargs)

self._fit(X, y)
EDIT

Rather than using a build parameter, make "rebuilding" a model not possible. If the user wishes to "rebuild" a model then they can create a new Orion instance.

Changes to reflect this is

if not self._fitted:
    self._augment_hyperparameters(X, y, kwargs)
    self._set_shapes()
    self._build_tadgan(**kwargs)

self._fit(X, y)
self._fitted = True

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