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Negative Values in Pre optimization predicted Target vs Post optimization predicted Target

Open udayreddy97 opened this issue 1 year ago • 0 comments
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Getting Negative Values in Pre optimization predicted Target vs Post optimization predicted Target graph.

image

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

udayreddy97 avatar Mar 14 '24 11:03 udayreddy97