xander-cli 0.1

Xander AI CLI for training AI models

Xander AI CLI

Xander AI CLI is a command-line tool for training AI models with ease. It allows you to train classification, regression, text, and image models using a simple command.

Installation

Install Xander AI CLI from PyPI using:

pip install xander-cli

Image Task

• Dataset Format:
  • Provide a .zip file containing a folder.
  • Inside the folder:
    • Subfolders represent class labels.
    • Images within subfolders correspond to their class.

Example Directory Structure:

dataset.zip
│
├── class_1/
│   ├── image1.jpg
│   ├── image2.jpg
│   └── ...
│
├── class_2/
│   ├── image1.jpg
│   ├── image2.jpg
│   └── ...
│
└── class_n/
    ├── image1.jpg
    ├── image2.jpg
    └── ...

Usage

Train a Model

To train a regression/classification/text model, use the following command:

xander-cli train <task> <dataset_path> <model_name> <epochs> [--target_col <target_column>]

Arguments

Argument	Description	Example
<task>	Type of task: classification, regression, text, or image	classification
<dataset_path>	Path to your dataset file (CSV format)	data.csv
--target_col	Name of the target column in your dataset (not requiredfor image)	label
<model_name>	Name to save your trained model	my_model
<epochs>	Number of epochs for training	50

Example Usage for tabular tasks

xander-cli train classification data.csv my_model 50 --target_col label

Example Usage for image tasks

xander-cli train image images.zip my_image_model 20

This command will train a classification model using data.csv, with label as the target column, and train it for 50 epochs.

Author

Xander Co.