Welcome to RapidML’s documentation!

Getting started is as easy as pip install RapidML

GitHub Repository: https://github.com/ritabratamaiti/RapidML

What is RapidML?

Well, RapidML is your Smart Machine Learning assistant that not only automates the creation of machine learning models but also enables you to easily deploy the models to the cloud.

(Click to enlarge)

RapidML is perfect for Python programmers at all levels, ranging from beginners who want to get into Data Science and Machine Learning to intermediate and advanced programmers who want to bring Machine Learning to consumer and industry usage applications.

Apart from making predictions in Python, RapidML models can be exported as Web APIs to develop Machine Learning applications in a wide variety of platforms, such as Javascript, Android, iOS…. and almost everything else which can make and receive web requests!

Contents:

• Installation
• Using RapidML
  • Why use RapidML?
    • Extremely easy to use and intuitive API
    • Rapid development of Machine Learning Models and Web APIs
    • Machine Learning models can be quickly deployed to production
    • RapidML is very versatile and it can be extended for use by more experienced Developers and Data Scientists
    • RapidML in Action
  • RapidML with code
• RapidML API
  • The RapidML.rml Class
    • rml class attributes
      • model :
      • m_tpot :
      • d :
    • rml class functions
      • put(self, mdl, d=None) :
      • le(self, df) :
  • RapidML.rapid_classifier
    • Parameters
      • df
      • le
      • model
      • name
    • Returns
    • Files Created
      • model
      • d
      • df
      • dt
      • f
      • API.py
      • helper.py
  • RapidML.rapid_regressor
    • Parameters
      • df
      • le
      • model
      • name
    • Returns
    • Files Created
      • model
      • d
      • df
      • dt
      • f
      • API.py
      • helper.py
  • RapidML.rapid_classifier_arr
    • Parameters
      • X
      • Y
      • model
      • name
    • Returns
    • Files Created
      • model
      • API.py
  • RapidML.rapid_regressor_arr
    • Parameters
      • X
      • Y
      • model
      • name
    • Returns
    • Files Created
      • model
      • API.py
  • RapidML.rapid_udm
    • Parameters
      • df
      • model
      • le
      • name
    • Returns
    • Files Created
      • model
      • d
      • df
      • dt
      • f
      • API.py
      • helper.py
  • RapidML.rapid_udm_arr
    • Parameters
      • X
      • Y
      • model
      • name
    • Returns
    • Files Created
      • model
      • API.py
• Examples
  • ASD (Autism Spectrum Disorder) Detection
  • Boston House Prices
  • Using RapidML to build a neural network (For recognizing hand-written digits)
• Support
• Contributing

Indices and tables

• Index
• Module Index
• Search Page