]h pSrSSKJrJrJrJrJr SSKrSSK J r SSK J r SSK Jr SSKJr "SS 5rg) z1 Container for the result of running Pathfinder. )DictListOptionalTupleUnionN)Method)InferenceMetadata)RunSet)scan_generic_csvc \rSrSrSrS\4SjrSS\\S\S\ \ \ \ \ R4\ \ \ R444S jjrS\ 4S jrSS jrS \ S\ R4S jrS\ \ \ R44SjrS\ \ \ R44SjrS\ R4SjrS\ S\ R4SjrS\4Sjr\S\4Sj5r\S\\ S44Sj5r\S\4Sj5rSS\\ SS4Sjjr Sr!g)CmdStanPathfinderzd Container for outputs from the Pathfinder algorithm. Created by :meth:`CmdStanModel.pathfinder()`. runsetcUR[R:Xd$[SR UR55eXl[ R"S5Ul[URS5n[U5Ul g)zInitialize object.zAWrong runset method, expecting Pathfinder runset, found method {}rN) methodr PATHFINDER ValueErrorformat_runsetnparray_drawsr csv_filesr _metadata)selfrconfigs oC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\cmdstanpy/stanfit/pathfinder.py__init__CmdStanPathfinder.__init__sk}} 1 11""(&"7  "$((2, !&"2"21"56*62NseedchainsreturncjUR5 [RRU5nUR UR R SUSS9nUS:XaZUR USnURRR5VVs0sHupgXgRU5_M snn$UVVVs/sHXnURRR5VVs0sH#upgXgRUR U5_M% snnPMZ snnn$s snnfs snnfs snnnf)a Create initial values for the parameters of the model by randomly selecting draws from the Pathfinder approximation. :param seed: Used for random selection, defaults to None :param chains: Number of initial values to return, defaults to 4 :return: The initial values for the parameters of the model. If ``chains`` is 1, a dictionary is returned, otherwise a list of dictionaries is returned, in the format expected for the ``inits`` argument. of :meth:`CmdStanModel.sample`. rF)sizereplace) _assemble_drawsrrandom default_rngchoicershaper stan_varsitemsextract_reshape) rr"r#rngidxsdrawnamevaridxs r create_initsCmdStanPathfinder.create_inits#s ii##D)zz$++++A.VUzK Q;;;tAw'D"&!9!9!?!?!A!AID))$//!A    C&*^^%=%=%C%C%E%E --dkk#.>??%E    sD">-D.+*D(D.(D.c\SRURRURRRR S/S95nSRUSR URR5SR URR55nU$)NzCmdStanPathfinder: model={}{}r)cmdz%{} csv_files: {} output_files: {}z ) rrmodel_args method_argscomposejoinr stdout_files)rreps r__repr__CmdStanPathfinder.__repr__Ds-44 LL   LL   * * 2 21" 2 = <BB  KK .. / KK 11 2   r!c URRS:wag[URRSS5nUR 5R S5(a'UR 5R S5(aM'[R"U[SSSS9UlSSS5 g!,(df  g=f)N)rrr#,)dtypendmin delimitercomments) rr-openrrreadline startswithrloadtxtfloat)rfds rr)!CmdStanPathfinder._assemble_drawsQs ;;   $  $,,((+S 1R;;=,,S11;;=,,S11** DK2 1 1sA B5 !B55 Cr5c.UR5 URRURUR5nU$![ aD [ SUS3SRURRR55-5ef=f)a  Return a numpy.ndarray which contains the estimates for the for the named Stan program variable where the dimensions of the numpy.ndarray match the shape of the Stan program variable. This functionaltiy is also available via a shortcut using ``.`` - writing ``fit.a`` is a synonym for ``fit.stan_variable("a")`` :param var: variable name See Also -------- CmdStanPathfinder.stan_variables CmdStanMLE.stan_variable CmdStanMCMC.stan_variable CmdStanVB.stan_variable CmdStanGQ.stan_variable CmdStanLaplace.stan_variable zUnknown variable name: z Available variables are z, ) r)rr.r0rKeyErrorrr?keys)rr5outs r stan_variableCmdStanPathfinder.stan_variable`s(  "nn66s;KK CJ )#/++))DNN4499;<=  s 3AABcj0nURRHnURU5X'M U$)a5 Return a dictionary mapping Stan program variables names to the corresponding numpy.ndarray containing the inferred values. See Also -------- CmdStanPathfinder.stan_variable CmdStanMCMC.stan_variables CmdStanMLE.stan_variables CmdStanVB.stan_variables CmdStanGQ.stan_variables CmdStanLaplace.stan_variables )rr.rX)rresultr4s rstan_variables CmdStanPathfinder.stan_variabless4NN,,D--d3FL- r!cUR5 URRR5VVs0sH upXR UR 5_M" snn$s snnf)a Returns a dictionary of all sampler variables, i.e., all output column names ending in `__`. Assumes that all variables are scalar variables where column name is variable name. Maps each column name to a numpy.ndarray (draws x chains x 1) containing per-draw diagnostic values. )r)r method_varsr/r0r)rr4r5s rmethod_variables"CmdStanPathfinder.method_variabless^ "^^77==? ?  %%dkk2 2?   s'A#c:UR5 UR$)z Return a numpy.ndarray containing the draws from the approximate posterior distribution. This is a 2-D array of shape (draws, parameters). )r)rrs rdrawsCmdStanPathfinder.drawss {{r!attrcURS5(a[SU35eURU5$![an[UR6eSnAff=f)z)Synonymous with ``fit.stan_variable(attr)_zUnknown variable name N)rOAttributeErrorrXrargs)rrfes r __getattr__CmdStanPathfinder.__getattr__sY ??3   #9$!@A A *%%d+ + * !&&) ) *s7 AAAc:UR5 UR$N)r)__dict__rcs r __getstate__CmdStanPathfinder.__getstate__s }}r!cUR$)z Returns object which contains CmdStan configuration as well as information about the names and structure of the inference method and model output variables. )rrcs rmetadataCmdStanPathfinder.metadatas~~r!.c4URRS$)a Names of all outputs from the sampler, comprising sampler parameters and all components of all model parameters, transformed parameters, and quantities of interest. Corresponds to Stan CSV file header row, with names munged to array notation, e.g. `beta[1]` not `beta.1`. column_names)rcmdstan_configrcs rrwCmdStanPathfinder.column_namess~~,,^<rs-65)8+4^(^(r!