Comments (3)
Hi, at the moment Robyn doesn't have a prediction function, because it's thought to be more of a decomposition tool than a prediction tool. It's controversial how to best provide future dataframe for intercept/trend/season/other baselines etc. We'll consider this in future pipeline
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it's good to know that, thank you.
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Hi, still curious about this issue. Is there anyway for us to "back into" the non-media vars decomposition values?
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Related Issues (20)
- Error calling library(Robyn) HOT 2
- An error that occurs when setting hyperparameters "'x' must be numeric." HOT 5
- Install nevergrad HOT 1
- Save InputCollect and OutputCollect HOT 2
- About the response curves mean spend by channle graph legend HOT 4
- Python version Release Date HOT 2
- Robyn v3.10.4 Hyperparameters appears on Pareto Front Top Perform Model HOT 1
- Couldn't automatically create clusters: HOT 1
- Issues with Running Robyn HOT 2
- Pareto calculations : Error in serialize(data, node$con) : error writing to connection HOT 2
- Robyn trial runs have started to get very long HOT 2
- Don't appear vec_collect build from xDecompVecImmCarr in v3.10.3 HOT 2
- Model run halted while calculating clusters for model selection HOT 2
- model one-pager does not display legend HOT 3
- No numpy HOT 1
- Refresh Error - One or both dimensions exceed the maximum (50000px) HOT 2
- (reopen) robyn_allocator - What's the difference between expSpendUnitTot & optmSpendUnitTotal? HOT 2
- robyn_recreate() gives a zero coef HOT 2
- Execution halted when running robyn_refresh HOT 1
- Plotting uses huge amount of RAM, causes crash, Out of Memory Errors HOT 3
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