semvec/pypi-packages huggingface dataset:
search-plot-utils 0.1.1
Simplifies the visualization and analysis of search results from hyperparameter optimization.
License: MIT
Requires Python: >=3.6

 
    # 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 search_plot_utils.plotting import plot_grid_search, plot_grid_search_non_interactive
    from search_plot_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.
VertPro 0.0.1
A tool made to aid with conversion in Python
License: MIT
Keywords: convert

This is a library that is supposed to help with conversion. More types of conversion will be added while this library goes through updates
Hope this helps.
Made by the same 11 year old who made CalculatorBasicLibrary.
This will be automatically downloaded with CBL(the short for CalculatorBasicLibrary) when it is complete.
NOTE: Money conversions will either not be added here or they will be changed only when an update for something else occurs..

Change Log
==========

0.0.1 (07/09/2024)
-------------------
First Release