artifician

Artifician

Artifician is an event driven library developed to simplify and speed up the process of preparation of the datasets for Artificial Intelligence models.

Getting Started

Pre-requisites

• python v3.6 or later

Installation

Binary installers for the latest released version are available at the Python Package Index (PyPI) and on Conda

# or PyPI
pip install artifician

# conda
conda install -c plato_solutions artifician

Documentation

Please visit Aritfician Docs

Usage

from artifician.dataset import *
from artifician.feature_definition import *
from artifician.processors.normalizer import *

  
def extract_domain_name(sample):  
    """function for extracting the path from the given URL"""
    domain_name = sample.split("//")[-1].split('/')[0] 
 
    return domain_name  
 
input_data = ['https://www.google.com/', 'https://www.youtube.com/']  
  
dataset = Dataset() # initializing dataset object
url_domain = FeatureDefinition(extract_domain_name, dataset) # initializing feature_definition and passing extractor function name as a parameter and subscribing it to dataset
normalizer = Normalizer(PropertiesNormalizer(), url_domain delimiter = {'delimiter': ["."]})  # Initializing normalizer (processor) and passing properties normalizer as a parameter and subscribing it to url_domain
  
  
""" Now we are all set to go, all we have to do is call add_samples method on the dataset object and pass the input data
after calling the add_samples, url_domain will start its execution and extract the data using extract_domain_name function, as soon url_domain
feature is processed normalizer will start it execution and furthur is will process the data extracted by url_domain. The processed data is then
passed back to the dataset. Following diagram will make it more clear for you. """ 

prepared_data = dataset.add_samples(input_data)  
print(prepared_data)  
  

Output

	0	1
0	https://www.google.com/	[(www, 0), (google, 1), (com, 2)]
1	https://www.youtube.com/	[(www, 0), (youtube, 1), (com, 2)]