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Getting Negative Values in Pre optimization predicted Target vs Post optimization predicted Target graph.
Code Snippet:
solution, kpi_without_optim, previous_media_allocation = optimize_media.find_optimal_budgets( n_time_periods=n_time_periods, media_mix_model=mmm, extra_features=extra_features_train[:n_time_periods], budget=budget, prices=prices, media_scaler=media_scaler, target_scaler=target_scaler, seed=SEED)
Result of the code snippet
Iteration limit reached (Exit mode 9) Current function value: -850.4690809609328 Iterations: 200 Function evaluations: 9800 Gradient evaluations: 200
The text was updated successfully, but these errors were encountered:
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Getting Negative Values in Pre optimization predicted Target vs Post optimization predicted Target graph.
Code Snippet:
Result of the code snippet
The text was updated successfully, but these errors were encountered: