]h%SrSSKJrJrJrJrJrJrJrJ r SSK r SSK r SSKrSrSSKJr SSKJr SSKJr S S KJr S S KJr S S KJr "S S5rg!\a SrN9f=f)z> Container for the result of running a laplace approximation. )AnyDictHashableListMutableMappingOptionalTupleUnionNTF)Method)build_xarray_data)scan_generic_csv)InferenceMetadata) CmdStanMLE)RunSetc\rSrSrS\S\SS4SjrSSjrS\S\ R4S jr S\ \\ R44S jr S\ \\ R44S jrS\ R4S jrSS \\\\S4S\R&4SjjrSS \\\\S4SS4Sjjr\S\4Sj5r\S\4Sj5rS\4SjrS\S\ R4SjrS\4Sjr\S\\S44Sj5rSS\ \SS4Sjjr!Sr"g)CmdStanLaplace'runsetmodereturnNc&UR[R:Xd$[SR UR55eXlX l[R"S5Ul [URS5n[U5Ul g)zInitialize object.z>Wrong runset method, expecting laplace runset, found method {}rN)methodr LAPLACE ValueErrorformat_runset_modenparray_drawsr csv_filesr _metadata)selfrrconfigs lC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\cmdstanpy/stanfit/laplace.py__init__CmdStanLaplace.__init__(sn}}.""(&"7   "$((2, !&"2"21"56*62c URRS:wag[URRSS5nUR 5R S5(a'UR 5R S5(aM'[R"U[SSSS9UlSSS5 g!,(df  g=f)N)rrr#,)dtypendmin delimitercomments) r"shapeopenrr#readline startswithr loadtxtfloat)r%fds r'_assemble_drawsCmdStanLaplace._assemble_draws7s ;;   $  $,,((+S 1R;;=,,S11;;=,,S11** DK2 1 1sA B5 !B55 Cvarc.UR5 URRURUR5nU$![ 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 -------- CmdStanMLE.stan_variables CmdStanMCMC.stan_variable CmdStanPathfinder.stan_variable CmdStanVB.stan_variable CmdStanGQ.stan_variable zUnknown variable name: z Available variables are z, ) r;r$ stan_varsextract_reshaper"KeyErrorrjoinkeys)r%r=outs r' stan_variableCmdStanLaplace.stan_variableFs&  "nn66s;KK CJ )#/++))DNN4499;<=  s 3AABcj0nURRHnURU5X'M U$)a Return a dictionary mapping Stan program variables names to the corresponding numpy.ndarray containing the inferred values. :param inc_warmup: When ``True`` and the warmup draws are present in the MCMC sample, then the warmup draws are included. Default value is ``False`` See Also -------- CmdStanGQ.stan_variable CmdStanMCMC.stan_variables CmdStanMLE.stan_variables CmdStanPathfinder.stan_variables CmdStanVB.stan_variables )r$r?rE)r%resultnames r'stan_variablesCmdStanLaplace.stan_variablesgs4"NN,,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_varsitemsr@r")r%rIr=s r'method_variablesCmdStanLaplace.method_variables}s^ "^^77==? ?  %%dkk2 2?   s'A#c:UR5 UR$)z Return a numpy.ndarray containing the draws from the approximate posterior distribution. This is a 2-D array of shape (draws, parameters). )r;r"r%s r'drawsCmdStanLaplace.drawss {{r*varsc`Ub[U[5(aU/nOUnUR5 /nUb[R W5HnX@R R ;aURU5 M/X@R R;aMUR RUnURURURUR5 M[SU35e O[UR5n[R "UR"URS9U$)NzUnknown variable: )columns) isinstancestrr;dictfromkeysr$rMappendr?extend column_names start_idxend_idxrlistpd DataFramer")r%rU vars_listcolsr=infos r'draws_pdCmdStanLaplace.draws_pds  $$$!F     }}Y/..444KK$NN444>>33C8DKK))$..4<<H%'9#%?@@0))*D||DKK1B1BCDIIr*z xr.Datasetc [(d [S5eUc.[URRR 55nO[ U[5(aU/nOUnUR5 URRnUSSUSSUS3USS.n0nS [R"URRS 50nUHIn[UURRUURSS2[RSS245 MK [ R""XVUS 9R%S S 5R'5$) z Returns the sampler draws as a xarray Dataset. :param vars: optional list of variable names. See Also -------- CmdStanMCMC.draws_xr CmdStanGQ.draws_xr z>Package "xarray" is not installed, cannot produce draws array.Nstan_version_major.stan_version_minorstan_version_patchmodel) stan_versionrndrawr)coordsattrs.)XARRAY_INSTALLED RuntimeErrorrar$r?rCrXrYr;cmdstan_configr aranger"r4r newaxisxrDataset transposesqueeze)r%rUrdmetarrdata coordinatesr=s r'draws_xrCmdStanLaplace.draws_xrs@ P  <T^^55::<=I c " "II ~~,,#$89:!()*!D1E,F+GI']0  /1 BIIdkk//236 C ((- Arzz1,-  JJtu = Yvs # WY r*cUR$)zR Return the maximum a posteriori estimate (mode) as a :class:`CmdStanMLE` object. )rrRs r'rCmdStanLaplace.modes zzr*cUR$)z Returns object which contains CmdStan configuration as well as information about the names and structure of the inference method and model output variables. )r$rRs r'metadataCmdStanLaplace.metadatas~~r*c SR[UR5R5Vs/sHnSU-PM sn5SSnSR UR R UUR RRRS/S95nSR USRUR R5SRUR R55nU$s snf) N  rz&CmdStanLaplace: model={} mode=({}) {}r)cmdz%{} csv_files: {} output_files: {}z ) rBreprr splitlinesrrrn_args method_argscomposer# stdout_files)r%linerreps r'__repr__CmdStanLaplace.__repr__syy%)$))_%?%?%A B%ATTD[%A B "9?? LL    LL   * * 2 21" 2 =  <BB  KK .. / KK 11 2    CsC8attrcURS5(a[SU35eURU5$![an[UR6eSnAff=f)z)Synonymous with ``fit.stan_variable(attr)_zUnknown variable name N)r7AttributeErrorrErargs)r%res r' __getattr__CmdStanLaplace.__getattr__sY ??3   #9$!@A A *%%d+ + * !&&) ) *s7 AAAc:UR5 UR$N)r;__dict__rRs r' __getstate__CmdStanLaplace.__getstate__s }}r*.c4URRS$)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`. r^)r$rurRs r'r^CmdStanLaplace.column_namess~~,,^<-12 CcD()2  2 hj+# ** *d=eCHo==(#($((r*r)__doc__typingrrrrrrr r numpyr pandasrbxarrayrxrs ImportErrorcmdstanpy.cmdstan_argsr cmdstanpy.utils.data_mungingr cmdstanpy.utils.stancsvr rrmlerrrrrr*r'rsf   *:4'I(I(!sAA A