Documentation

From FojiSoft Docs
Revision as of 14:29, 8 July 2024 by Chris.Hansen (talk | contribs)
FojiSoft comprehensive documentation is designed to help users get the most out of this powerful platform. It includes detailed explanations of all features and functionality, as well as step-by-step guides for common tasks and troubleshooting tips.
List of abbreviations:
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13 September 2024

N    17:11  Using the Foji Python Client in Notebook Servers‎‎ 2 changes history +4,123 [Chris.Hansen‎ (2×)]
     
17:11 (cur | prev) +16 Chris.Hansen talk contribs (→‎4. Prediction Client (AutoML Predictions)) Tag: Visual edit
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17:09 (cur | prev) +4,107 Chris.Hansen talk contribs (Created page with "The Foji Python client is designed to interact with various services within the FojiSoft application suite, including relational data access, metric services, dataset management, and predictive analytics. This guide explains how to use key methods available for these functionalities in Notebook Servers. ==== Installation ==== The <code>foji</code> package is already available in your Notebook Server. ==== Key Components ==== The "Foji" Python client consists of four pr...") Tag: Visual edit

5 September 2024

N    23:24  Documentation of Predictive Dashboard diffhist +2,902 Mitchell.Hirsche talk contribs (Prediction Dashboard) Tag: Visual edit
N    22:44  Documentation for the Predictive Dashboard diffhist +4,839 Mitchell.Hirsche talk contribs (Insights Dashboard under ForgeAI) Tag: Visual edit
N    17:48  Creating a Notebook Server diffhist +4,884 Chris.Hansen talk contribs (Created page with "This article will guide you through the process of creating a '''Notebook Server''' in Foji. A Notebook Server is a cloud-based environment where you can run Jupyter Notebooks, enabling you to write and execute Python code in a controlled, customizable environment. When setting up your server, you will be prompted to define a '''Name''' for your server and allocate resources such as CPU, GPU, Memory, and Storage. == Steps to Create a Notebook Server in Foji == === 1. '...") Tag: Visual edit

29 August 2024

N    17:00  Dynamic Column Selection in Relational Data diffhist +7,863 Chris.Hansen talk contribs (Created page with "When working with datasets that contain a lot of columns, we’ll often want to compute aggregations on a subset of those columns. Having to type out all the columns that we want to operate on is pretty tedious, so I was pleased to learn that ClickHouse has functionality that allows for dynamic column selection. == Sample Dataset == This article references the shared NYC taxis dataset and in particular the data for yellow taxis in January 2023. The dataset has the foll...") Tag: Visual edit

28 August 2024

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N    19:06  Relational Data - Window Functions‎‎ 2 changes history +33,786 [Chris.Hansen‎ (2×)]
     
19:06 (cur | prev) +4,967 Chris.Hansen talk contribs (Import ClickHouse Docs: Wed Aug 28 2024 15:06:23 GMT-0400 (Eastern Daylight Time))
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18:52 (cur | prev) +28,819 Chris.Hansen talk contribs (Import ClickHouse Docs: Wed Aug 28 2024 14:52:53 GMT-0400 (Eastern Daylight Time))
N    19:06  Relational Data - Statements - Select - Sample‎‎ 2 changes history +6,350 [Chris.Hansen‎ (2×)]
     
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N    19:06  Relational Data - Statements - Select - Join‎‎ 2 changes history +26,654 [Chris.Hansen‎ (2×)]
     
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