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chore: update syntax data 2025.02 (#1410)
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server/pubsdata/Functions/en/base.json

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server/pubsdata/Procedures/en/CAUSALDISCOVERY.json

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{"name":"DLMZEXPORT","statements":[{"name":"PROC DLMZEXPORT","description":"The DLMZEXPORT procedure creates an analytic store from a trained deep learning model.","help":"\n PROC DLMZEXPORT \n <dlmzexport-options>;\n\t\n EXTRAOPTIONS \n <extra-options>; \n \n\t\n GPU \n <gpu-options>;\n \n\t\n INDEXVARIABLES \n variable(s); \n \n\t\n INPUT \n variable(s); \n \n\tSAVESTATE \n <savestate-options>\n ","arguments":[{"name":"BASEPATH=","optional":true,"description":"specifies the base path that is used for path-based extra options. For example, if you specify a path to pretrained weights in the extra options, the model path is specified relative to this base path.","help":"BASEPATH=*path*","type":"value","supportSiteTargetFragment":"n0vvq4361xzd4gn1iuy8bmftzxu8"},{"name":"DATA=","optional":true,"description":"specifies the table that is used to store the data for training or scoring a deep learning model.","help":"DATA=*CAS-libref.data-table*","type":"dataSet","supportSiteTargetFragment":"n1fja3jd1q5u15n11pld7s7dw8dt"},{"name":"DETERMINISTIC","optional":true,"description":"specifies that the tensor CUDNN computations and data sequence in SMP mode must have deterministic behavior. 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When used with the INPUTINDEXMAP option, these variables specify which columns should be read. When used with the OUTPUTINDEXMAP option, these variables specify the names to assign to the written columns.","type":"value","supportSiteTargetFragment":"n08jf547gxftemn1o6wwcrpgzhg4"}],"supportSiteTargetFile":"p019vlqq3rlfmnn12ke75nh9ml1q.htm"},{"name":"INPUT","description":"Specifies the input variables used in the analysis.","help":"INPUT \n variables;","arguments":[{"name":"variables","placeholder":true,"description":"specifies a list of variables in the data table that are used to define training input.","type":"value","supportSiteTargetFragment":"p1kmzsd7f6mt46n1kx11nfm9ogw8"}],"supportSiteTargetFile":"p0ua2oa73ezzvhn1uxvqnmatqlas.htm"},{"name":"SAVESTATE","description":"Creates an analytic store for the model and saves it as a binary object in a data table.","help":"SAVESTATE \n RSTORE=libref.data-table;","arguments":[{"name":"RSTORE=","description":"specifies the data table into which the analytic store is saved.","help":"RSTORE=*CAS-libref.data-table*","type":"dataSet","supportSiteTargetFragment":"p17l3ozpjhz91cn1psfd0xjapxxb"}],"supportSiteTargetFile":"n1aymjks20xagqn1onmmnw0gywxw.htm"}],"supportSiteInformation":{"docsetId":"casdlmzproc","docsetVersion":"v_003","docsetTargetFile":"p1infqzl7222wrn1vjgxzris27g8.htm"}}
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{"name":"DLMZEXPORT","statements":[{"name":"PROC DLMZEXPORT","description":"The DLMZEXPORT procedure creates an analytic store from a trained deep learning model.","help":"\n PROC DLMZEXPORT \n <dlmzexport-options>;\n\t\n EXTRAOPTIONS \n <extra-options>; \n \n\t\n GPU \n <gpu-options>;\n \n\t\n INDEXVARIABLES \n variable(s); \n \n\t\n INPUT \n variable(s); \n \n\tSAVESTATE \n <savestate-options>\n ","arguments":[{"name":"BASEPATH=","optional":true,"description":"specifies the base path that is used for path-based extra options. 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