semvec/pypi-packages huggingface dataset:
torch-former 0.0.1a0
torch-former is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.
License: MIT

# ml-utils

`ml_utils` is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.

## Features

- **Model Evaluation Plots:**
    - Confusion matrices
    - ROC curves
    - Precision-recall curves
- **Data Visualization:**
    - Heatmaps
    - Pair plots
    - Feature importance plots
- **Compatibility:**
    - Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.

## Installation

You can install `ml_utils` using pip:

```bash
pip install ml_utils
flax-former 0.0.1a0
flax-former is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.
License: MIT

# ml-utils

`ml_utils` is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.

## Features

- **Model Evaluation Plots:**
    - Confusion matrices
    - ROC curves
    - Precision-recall curves
- **Data Visualization:**
    - Heatmaps
    - Pair plots
    - Feature importance plots
- **Compatibility:**
    - Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.

## Installation

You can install `ml_utils` using pip:

```bash
pip install ml_utils
graph-former 0.0.1a0
graph-former is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.
License: MIT

# ml-utils

`ml_utils` is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.

## Features

- **Model Evaluation Plots:**
    - Confusion matrices
    - ROC curves
    - Precision-recall curves
- **Data Visualization:**
    - Heatmaps
    - Pair plots
    - Feature importance plots
- **Compatibility:**
    - Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.

## Installation

You can install `ml_utils` using pip:

```bash
pip install ml_utils
jiit 0.0.1a0
jiit is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.
License: MIT

# ml-utils

`ml_utils` is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.

## Features

- **Model Evaluation Plots:**
    - Confusion matrices
    - ROC curves
    - Precision-recall curves
- **Data Visualization:**
    - Heatmaps
    - Pair plots
    - Feature importance plots
- **Compatibility:**
    - Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.

## Installation

You can install `ml_utils` using pip:

```bash
pip install ml_utils
flaxnet 0.0.1a0
flaxnet is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.
License: MIT

# ml-utils

`ml_utils` is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.

## Features

- **Model Evaluation Plots:**
    - Confusion matrices
    - ROC curves
    - Precision-recall curves
- **Data Visualization:**
    - Heatmaps
    - Pair plots
    - Feature importance plots
- **Compatibility:**
    - Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.

## Installation

You can install `ml_utils` using pip:

```bash
pip install ml_utils
alpha-go 0.0.1a0
alpha-go is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.
License: MIT

# ml-utils

`ml_utils` is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.

## Features

- **Model Evaluation Plots:**
    - Confusion matrices
    - ROC curves
    - Precision-recall curves
- **Data Visualization:**
    - Heatmaps
    - Pair plots
    - Feature importance plots
- **Compatibility:**
    - Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.

## Installation

You can install `ml_utils` using pip:

```bash
pip install ml_utils
alpha-star 0.0.1a0
alpha-star is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.
License: MIT

# ml-utils

`ml_utils` is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.

## Features

- **Model Evaluation Plots:**
    - Confusion matrices
    - ROC curves
    - Precision-recall curves
- **Data Visualization:**
    - Heatmaps
    - Pair plots
    - Feature importance plots
- **Compatibility:**
    - Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.

## Installation

You can install `ml_utils` using pip:

```bash
pip install ml_utils