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https://github.com/arjunpatel7/hypothesis-sage
A RAG based chatbot for statistical testing. Get help with understanding what tests to use given a context!
https://github.com/arjunpatel7/hypothesis-sage
Last synced: 23 days ago
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A RAG based chatbot for statistical testing. Get help with understanding what tests to use given a context!
- Host: GitHub
- URL: https://github.com/arjunpatel7/hypothesis-sage
- Owner: arjunpatel7
- License: mit
- Created: 2023-09-20T03:38:09.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-18T01:05:56.000Z (about 1 month ago)
- Last Synced: 2024-10-22T21:50:57.896Z (29 days ago)
- Language: Python
- Size: 1.48 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Hypothesis Sage
Hypothesis Sage is a powerful command-line interface (CLI) tool designed to assist with statistical analysis and hypothesis testing. It leverages advanced language models and a curated database of statistical information to provide intelligent recommendations and explanations for various statistical scenarios.
We use Typer to create a simple CLI to access each tool, in addition to an agent that can answer complex questions.
In the future, we plan to create a web interface for access to Hypothesis Sage.
## Features
1. **Query Database**: Retrieve relevant statistical information from a curated database.
2. **Generate Test Examples**: Create detailed examples of how to apply specific statistical tests to given situations.
3. **Find Best Test**: Recommend appropriate statistical tests for a given scenario, including assumptions and their validity.
4. **Explain Concepts**: Provide explanations for statistical concepts and queries.
5. **AI-Powered Assistance**: Utilize an intelligent agent to answer complex statistical questions and provide comprehensive guidance.
## Installation
## Usage
Hypothesis Sage offers several commands to assist with your statistical analysis:
## Examples
Here are some example uses of Hypothesis Sage:
1. Query the database:
```
python hsage_cli.py query "What is the difference between Type I and Type II errors?"
```
2. Generate a test example:
```
python hsage_cli.py make-example "t-test" "Comparing mean heights of two groups"
```
3. Find the best test for a scenario:
```
python hsage_cli.py find-best-test "I want to compare the effectiveness of three different teaching methods on student test scores"
```
4. Explain a statistical concept:
```
python hsage_cli.py explain-this "What is the central limit theorem?"
```
5. Ask a complex question:
```
python hsage_cli.py ask "How do I interpret the results of a multiple regression analysis with interaction terms?"
```
These commands will provide you with detailed information, examples, and guidance for your statistical analysis needs.