KAFYTraj 0.1.7

This library includes an extensible system for building various trajectory operations.

KAFY Library

The KAFY library provides an extensible system for various trajectory operations and includes a versatile command-line interface (CLI) for managing these operations using SQL-like commands. It functions as a toolkit for researchers, facilitating the construction, management, and execution of diverse trajectory operations.

Features

• Extensible System: Designed to accommodate various trajectory operations with flexibility and ease.
• User-Friendly: Simplifies the construction and management of trajectory operations, making it accessible to researchers.
• SQL-like Command Interface: Allows users to execute trajectory operations through intuitive, SQL-like commands.

Installation

You can install the KAFY library using pip:

pip install KAFYTraj==0.1.7

Usage

To use the library, import the TrajectoryPipeline class from KAFY:

from KAFY import TrajectoryPipeline

# Initialize the pipeline
my_pipeline = TrajectoryPipeline(
    mode="pretraining",
    operation_type="generation",
    use_tokenization=True,
    use_detokenization=True,
    use_spatial_constraints=True,
    modify_spatial_constraints=True,
    use_predefined_spatial_constraints=True,
    project_path="/content/"
)

SQL-like Command Interface

To use the SQL-like command interface, you can execute commands directly from the terminal. The CLI allows you to perform operations such as pretraining, fine-tuning, and summarizing data.

Pretraining a Model:

kafy_sql_parser "PRETRAIN bert FROM mydata.csv USING bert_config.json AS my_pretrained_model.pkl"

Fine-Tune a Model:

kafy_sql_parser "FINETUNE bert FOR summarization USING my_pretrained_model.pkl WITH finetune_config.json AS my_finetuned_model.pkl"

Summarize Data:

kafy_sql_parser "SUMMARIZE FROM requested_data_to_summarize.csv USING my_finetuned_model.pkl"

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or support, please contact [e-mail].