I have a spark dataset that has fields: "identifier_id", "inner_blob" , "json_blob" "inner_blob": { "identifier_id": 2.0, "name": "test1", "age": 30.0 }, "identifier_id": 2.0, "json_blob": { "identifier_id": 2.0, "order_id": 2.0, "inner_blob": [ { "item_id": 23.0, "item_name": "airpods2", "item_price": 300.0 }, {…
I have few folders inside the Data lake (Example:Test1 container) that are created every month in this format YYYY-MM (Example:2022-11) and inside this folder I have few set of data files, I want to copy this data files to different…
I have a dropdown list. I am getting data from oracle data base as a dataset I want to fill the dropdown list with dataset values(data text field and data value field). Data coming from the database as normal but…
When I do the below: >>> import gensim.downloader as api >>> model = api.load("glove-twitter-25") # load glove vectors the gensim.downloader API throws the below error: [Errno 2] No such file or directory: '/Users/vtim/gensim-data/information.json'. What am I doing wrong?
Hello Progress4GL Developers, I am trying to consume a Magento SOAP API and am dealing with a dataset as my output. Here is the example procedure from the WSDL Analayser: I am expecting my XML response to look something like…
i made the award shield template, I have tons of name, every names have their shield(for distribution in annual Exam)... so i defined the variable but when ever i connect variables to the .txt file it shows me this error:…
I want to change my text from the form below (JSON) into a sas dataset. [ { "id":86374, "course":[ "artificial intelligence", "data structure", "linear algebra" ] } { "id":12319, "course":[ "data structure", "algorithm", "database", "linear algebra" ] } ... ]…
I've been studying algorithms about collective intelligence, for things such as recommendation engines, neural networks etc., and was looking for freely available datasets and/or APIs for practice projects. any suggestions? EDIT: my original question was kind of vague, so here…