csv.pre_user¶

Convert Prediction Csv Files From dismod_at Notation to User csv.fit Notation¶

Prototype¶

# at_cascade.csv.pre_user
def pre_user(
   fit_dir,
   sim_dir,
   job_table,
   start_job_name,
   predict_job_id_list,
   node_table,
   root_node_id,
   root_split_reference_id,
   root_database,
) :
   assert type(fit_dir)                    == str
   assert None == sim_dir or \
           type(sim_dir)                   == str
   assert type(job_table)                  == list
   assert type( job_table[0] )             == dict
   assert None == start_job_name or \
          type( start_job_name )           == str
   assert type(predict_job_id_list)        == list
   assert type( predict_job_id_list[0] )   == int
   assert type(node_table)                 == list
   assert type( node_table[0] )            == dict
   assert type(root_node_id)               == int
   assert type(root_split_reference_id)    == int
   assert type(root_database)         == str

fit_dir¶

Same as the csv fit fit_dir .

sim_dir¶

Same as sim_dir .

job_table¶

is the job_table for this cascade.

start_job_name¶

Is the name of the job (fit) that the predictions start at. This is a node name, followed by a period, followed by a sex. Only this fit, and its descendants, were included in the predictions. If this argument is None, all of the jobs (fits) were be included.

predict_job_id_list¶

Each element of this list is an index in the job_table of a job that was included in the predictions.

node_table¶

is the dismod_at node table for this cascade.

root_node_id¶

is the node table id for the root node of the cascade.

root_split_reference_id¶

is the split_reference table id for the root job of the cascade

root_database¶

specifies the location of the dismod_at root_database.

Input Prediction Files¶

Each job in the predict_job_id_list has a corresponding directory. For prefix equal to fit , sam , the file prefix_prior.csv or prefix_posterior.csv must exist in each of these directories ( see :ref:`pre_one_job@Csv Output Files` ). In addition if *sim_dir is not None, the file tru_prior.csv or true_posterior.csv must also exist. These files use dismod_at notation.

Output Prediction Files¶

The predictions get converted to csv.predict notation; see Output Files .