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0.12.0

Getting Started
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- About PyMC Labs

Getting Started
Contributing
Guide
API
How-to
About PyMC Labs

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clv
customer_choice
- mv_its
  - plot_product
  - MVITS
    
    MVITS.__init__
    
    MVITS.attrs_to_init_kwargs
    
    MVITS.build_from_idata
    
    MVITS.build_model
    
    MVITS.calculate_counterfactual
    
    MVITS.causal_impact
    
    MVITS.create_fit_data
    
    MVITS.create_idata_attrs
    
    MVITS.fit
    
    MVITS.graphviz
    
    MVITS.inform_default_prior
    
    MVITS.load
    
    MVITS.load_from_idata
    
    MVITS.plot_causal_impact_market_share
    
    MVITS.plot_causal_impact_sales
    
    MVITS.plot_counterfactual
    
    MVITS.plot_data
    
    MVITS.plot_fit
    
    MVITS.post_sample_model_transformation
    
    MVITS.predict
    
    MVITS.predict_posterior
    
    MVITS.predict_proba
    
    MVITS.sample
    
    MVITS.sample_posterior_predictive
    
    MVITS.sample_prior_predictive
    
    MVITS.save
    
    MVITS.set_idata_attrs
- synthetic_data
  - generate_saturated_data
  - generate_unsaturated_data
deserialize
hsgp_kwargs
- HSGPKwargs
metrics
- crps
- nmae
- nrmse
- per_observation_crps
mlflow
mmm
model_builder
model_config
- parse_model_config
model_graph
- deterministics_to_flat
prior

API
ParetoNBDModel
ParetoNBDMod...

ParetoNBDModel.fit_summary#

ParetoNBDModel.fit_summary(**kwargs)#: Compute the summary of the fit result.

On this page

ParetoNBDModel.fit_summary()

Consulting and training

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