mlplt 1.1.1

The complete ML toolkit — EDA, cleaning, training, explainability, deployment

mlpilot 🚀

The complete machine learning toolkit that just works.
One import. One goal. No configuration.

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The Vision

Most ML libraries require hours of setup, API keys, and complex boilerplate. mlpilot changes that. It is designed to be Zero-Config and Unbreakable, whether you are running on a powerful GPU server, a local laptop, or a free Google Colab notebook.

Quick Start (Truly Zero-Config)

Install the library:

pip install mlplt

Analyze your data in 3 lines (No API keys or setup needed):

import mlpilot as ml
import seaborn as sns

df = sns.load_dataset('titanic')

# Ask anything in plain English
ans = ml.analyst(df)
ans.ask("What was the survival rate by passenger class? Show a bar chart.", auto_run=True)

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Key Modules

Module	Description	Example
SmartEDA	Instant 12-section data analysis reports.	ml.analyze(df)
AutoCleaner	One-click missing value and outlier handling.	ml.clean(df)
FeatureForge	Leakage-safe automated feature engineering.	ml.features(df)
BaselineBlitz	Compare 5+ models in 10 seconds.	ml.baseline(X, y)
HyperX	Fast, budget-aware hyperparameter tuning.	ml.tune('lgbm', X, y)
AI Analyst	Natural language interface to your data.	ml.analyst(df).ask(...)
LaunchPad	Generate FastAPI + Docker deployments instantly.	ml.deploy(model)

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Why mlpilot?

• 📦 Zero-Config AI: Built-in local AI engine (Transformers) for when you don't have API keys.
• 🧹 Unbreakable Paths: Works perfectly regardless of your OS, drive letter, or notebook environment.
• 🤫 Professional Silence: No technical clutter. Just clean, actionable answers.
• 🛠️ Batteries Included: Everything from cleaning to deployment in a single package.

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License

MIT © mlpilot contributors