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Getting Started
Guide
Example Gallery
How We Compare
API
Contributing
About PyMC Labs

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bass
- data
  - to_bass_dataset
- model
  - F
  - create_bass_model
  - f
  - BassModel
    
    default_model_config
    
    default_sampler_config
    
    fit_result
    
    id
    
    output_var
    
    posterior
    
    posterior_predictive
    
    predictions
    
    prior
    
    prior_predictive
    
    version
    
    idata
    
    sampler_config
    
    model_config
    
    model
    
    is_fitted_
  - BassPriors
    
    m
    
    p
    
    q
    
    likelihood
- plotting
causal_utils
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clv
customer_choice
data
- fivetran
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hsgp_kwargs
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- HSGPKwargs
  - model_config
  - m
  - L
  - eta_lam
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  - cov_func
metrics
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mlflow
mmm
model_builder
model_config
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model_graph
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paths
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  - url
pie
- model
  - PIEModel
    
    default_model_config
    
    default_sampler_config
    
    fit_result
    
    id
    
    output_var
    
    posterior
    
    posterior_predictive
    
    predictions
    
    prior
    
    prior_predictive
    
    version
    
    idata
    
    sampler_config
    
    model_config
    
    model
    
    is_fitted_
plot
pytensor_utils
r2d2
- R2D2
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  - error_sigma
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  - dims
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serialization
serialization_migration
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special_priors
terms
- build_param
- collect_coords
- collect_terms
- get_coords
- register_data
- set_data
- Dot
  - name
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  - prior
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  - name
  - prior
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- Parameter
  - name
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- Product
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- Sum
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- Transform
  - inner
  - func
utils
- from_netcdf

API
model_builder
RegressionModelBuilder
prior_predictive

prior_predictive#

property RegressionModelBuilder.prior_predictive: Dataset[source]#: Access the ‘prior_predictive’ group of the DataTree.

On this page

RegressionModelBuilder.prior_predictive

Consulting and training

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