How-To Geek on MSN

How to Use pandas DataFrames in Python to Analyze and Manipulate Data

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...
GitHub

[FEATURE] Support adding prompts to conversational history when using structured output

I would like Strands to add prompt to conversational history when using structured output method. I followed the example code: agent = Agent() # Build up conversation ...
InfoWorld

Databot: AI-assisted data analysis in R or Python

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
IEEE

Robust Feature Selection by Removing Noise Entropy Within Mutual Information for Limited-Sample Industrial Data

Abstract: Feature selection is challenging in high-dimensional and small-sample data, particularly in industrial informatics with diverse noise sources. The information entropy of feature noise is ...
IEEE

Multi-Label Feature Selection With Missing Features via Implicit Label Replenishment and Positive Correlation Feature Recovery

Abstract: Multi-label feature selection can effectively solve the curse of dimensionality problem in multi-label learning. Existing multi-label feature selection methods mostly handle multi-label data ...
GitHub

[FEATURE] MCP client should support elicitation

Currently the strands MCP client only supports tools and prompts, which is only a part of the MCP spec. The other functionality like elicitation should also be supported in the Strands MCP client ...