PyBrain – Working with Datasets
In this guide, we will discuss about working with Datasets in Pybrain. Datasets are input data to be given to test, validate and train networks. The type of dataset to…
In this guide, we will discuss about working with Datasets in Pybrain. Datasets are input data to be given to test, validate and train networks. The type of dataset to…
In this guide, we will discuss about working with networks in Pybrain. A network is composed of modules, and they are connected using connections. In this chapter, we will learn…
In this guide, we will discuss about introduction to pybrain networks. PyBrain is a library developed for Machine Learning with Python. There are some important concepts in Machine Learning and…
This method returns the characters in a string beginning at the specified location through the specified number of characters. Syntax string.substr(start[, length]); Argument Details start − Location at which to start…
In this chapter, we will work on the environment setup of PyBrain. To start working with PyBrain, we need to install Python first. So we are going to work on…
This method splits a String object into an array of strings by separating the string into substrings. Syntax string.split([separator][, limit]); Argument Details separator − Specifies the character to use for separating…
This method extracts a section of a string and returns a new string. Syntax string.slice( beginslice [, endSlice] ); Argument Details beginSlice − The zero-based index at which to begin extraction.endSlice −…
This method executes the search for a match between a regular expression and this String object. Syntax string.search(regexp); Argument Details regexp − A regular expression object. If a non-RegExp object obj…
This method finds a match between a regular expression and a string, and replaces the matched substring with a new substring. The replacement string can include the following special replacement…
In this guide we will discuss about pybrain tutorial. Pybrain is an open-source library for Machine learning implemented using python. The library offers you some easy to use training algorithms…