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get predict_data.num_classes if trained_model havent num_classes #1199

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Nov 21, 2023
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get predict_data.num_classes if trained_model havent num_classes #1199

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11 changes: 9 additions & 2 deletions fedot/core/operations/evaluation/operation_implementations/models/keras.py
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Original file line number Diff line number Diff line change
Expand Up @@ -140,10 +140,17 @@ def predict_cnn(trained_model, predict_data: InputData, output_mode: str = 'labe
prediction = np.round(trained_model.predict(transformed_x_test))
elif output_mode in ['probs', 'full_probs', 'default']:
prediction = trained_model.predict(transformed_x_test)
if trained_model.num_classes < 2:
num_classes = 0

try:
num_classes = trained_model.num_classes
except AttributeError:
num_classes = predict_data.num_classes

if num_classes < 2:
logger.error('Data set contain only 1 target class. Please reformat your data.')
raise ValueError('Data set contain only 1 target class. Please reformat your data.')
elif trained_model.num_classes == 2 and output_mode != 'full_probs' and len(prediction.shape) > 1:
elif num_classes == 2 and output_mode != 'full_probs' and len(prediction.shape) > 1:
prediction = prediction[:, 1]
else:
raise ValueError(f'Output model {output_mode} is not supported')
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