# The Dark Matter Environment

```
Requirements.txt

boto3==1.34.99
Cython==3.0.10
numpy==1.26.4
pandas==2.2.2
torch==2.3.0
scikit-learn==1.5.0
matplotlib==3.9.0
ray[air,train]==2.37.0
```

Numpy, Pandas, PyTorch, SciKit-Learn, and Matplotlib are used to handle input data, train the Dark Matter algorithm, and track the algorithm's training cycle and metrics. We also use Boto3, Cython, and Ray for development operations like compiling and uploading source code to our S3 buckets, and parallelizing training across custom distributed compute environments.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references/the-dark-matter-environment.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.