search-plot-utils 0.1

Simplifies the visualization and analysis of search results from hyperparameter optimization.

# search_plot_utils

`search_plot_utils` is a Python library designed to simplify the visualization and analysis of search results from various hyperparameter optimization methods, including `GridSearchCV`, `RandomizedSearchCV`, and more. This library provides flexible and easy-to-use functions to create insightful plots and tables, enabling better interpretation and comparison of model performance across different hyperparameter combinations.

## Key Features:

- **Flexible Plotting**: Visualize search results for a wide range of optimization methods.
- **Customizable Outputs**: Save plots as images or display them directly in Jupyter notebooks.
- **Tabular Insights**: Generate tables from search results with customizable columns and filters.
- **Broad Search Support**: Compatible with `GridSearchCV`, `RandomizedSearchCV`, and other search techniques.

## Installation:

You can install `search_plot_utils` via pip:

```bash
pip install search_plot_utils
```

Or install manually:

```bash
git clone https://github.com/yourusername/search_plot_utils.git
cd search_plot_utils
pip install .
```

## Example Usage:

```python
from grid_search_utils.plotting import plot_grid_search, plot_grid_search_non_interactive
from grid_search_utils.tables import table_grid_search

from sklearn.model_selection import GridSearchCV
from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier

# Load dataset and set up model
iris = load_iris()
clf = RandomForestClassifier()
param_grid = {'n_estimators': [10, 50], 'max_depth': [2, 4]}

# Execute GridSearchCV
grid_search = GridSearchCV(clf, param_grid)
grid_search.fit(iris.data, iris.target)

# Generate search results plot
plot_search_results(grid_search.cv_results_)

# Generate search results plot (Non Interactive version)
plot_grid_search_non_interactive(grid_search.cv_results_)

# Generate search results table
table_search_results(grid_search.cv_results_)
```


## License:

This project is licensed under the MIT License.