Comments (2)
There are two ways:
dt.save(filepath)
newdt = deeptable.DeepTable.load(filepath)
preds = newdt.predict(X_test)
from deeptables.models.layers import dt_custom_objects
from tensorflow.keras.models import load_model
mod_path = 'model_1.h5'
load_model(mod_path, dt_custom_objects)
from deeptables.
There's a bug in deeptable.py at line 660 where the model is saved. Please change os.makedirs
to os.makedir
.
from deeptables.
Related Issues (20)
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from deeptables.