fklearn

What problem does it solve?

This Skill streamlines the development and validation of machine learning models by providing a functional, composable API for common data science tasks.

Core Features & Use Cases

• Functional ML Pipeline: Build complex ML workflows by chaining together transformations and learners.
• Robust Validation: Perform cross-validation, stability analysis, and hyperparameter tuning with ease.
• Use Case: Train a LightGBM classification model on your data, apply one-hot encoding to categorical features, and evaluate its performance using ROC AUC on a time-split validation set.

Quick Start

Use the fklearn skill to build a pipeline with label encoding and an LGBM classifier, then train it on the provided data.