# mihirj2002/cementstrength_machine_learning-_with_pipeline architecture

> Architecture diagram of the GitHub repository mihirj2002/cementstrength_machine_learning-_with_pipeline, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-28). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/mihirj2002/cementstrength_machine_learning-_with_pipeline
- Repository: https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline

## Overview

This repository implements a small concrete-strength regression workflow: load concrete data, prepare train/test inputs, fit a random-forest regressor, and report its R² score. `main.py` orchestrates the stages and prints the result. The loader reads from a remote GitHub CSV; although a CSV also exists in `data/`, the sampled loader does not use it. The graph follows the sampled calls; no additional README-described product capabilities are evident.

Main entry points: [`main.py`](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/main.py) (Pipeline entry), [`src/data_ingestion.py`](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/data_ingestion.py) (Data loader), [`src/data_preprocessing.py`](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/data_preprocessing.py) (Preprocessing), [`src/model_building.py`](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/model_building.py) (Model building)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_orchestration["Workflow orchestration"]
  node_main["Pipeline entry<br/>[main.py]"]
  node_reported_score["Printed R² score<br/>[main.py]"]
end

subgraph group_preparation["Data preparation"]
  node_loader["Data loader<br/>[data_ingestion.py]"]
  node_preprocessing["Preprocessing"]
end

subgraph group_modeling["Modeling and evaluation"]
  node_model_build["Model building<br/>[model_building.py]"]
end

node_user(("User"))
node_remote_csv["Remote CSV"]

node_user -->|"runs"| node_main
node_main -->|"calls"| node_loader
node_loader -->|"reads"| node_remote_csv
node_loader -->|"returns data"| node_main
node_main -->|"passes data"| node_preprocessing
node_preprocessing -->|"returns splits"| node_main
node_main -->|"passes splits"| node_model_build
node_model_build -->|"returns R²"| node_main
node_main -->|"prints"| node_reported_score

click node_main "https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/main.py"
click node_loader "https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/data_ingestion.py"
click node_preprocessing "https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/data_preprocessing.py"
click node_model_build "https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/model_building.py"
click node_reported_score "https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/main.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_main,node_reported_score,node_user toneBlue
class node_loader,node_preprocessing toneAmber
class node_model_build toneMint
class node_remote_csv toneIndigo
```

## Components

### Workflow orchestration

- [Pipeline entry](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/main.py): `main.py`
- [Printed R² score](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/main.py): `main.py`

### Data preparation

- [Data loader](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/data_ingestion.py): `src/data_ingestion.py`
- [Preprocessing](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/data_preprocessing.py): `src/data_preprocessing.py`

### Modeling and evaluation

- [Model building](https://github.com/mihirj2002/cementstrength_machine_learning-_with_pipeline/blob/main/src/model_building.py): `src/model_building.py`

### Other components

- **User**
- **Remote CSV**

## Connections

- User → Pipeline entry: runs
- Pipeline entry → Data loader: calls
- Data loader → Remote CSV: reads
- Data loader → Pipeline entry: returns data
- Pipeline entry → Preprocessing: passes data
- Preprocessing → Pipeline entry: returns splits
- Pipeline entry → Model building: passes splits
- Model building → Pipeline entry: returns R²
- Pipeline entry → Printed R² score: prints