Dataset

Dataset

Datasets are the data that are specifically given to test, validate and train on networks. Instead of troubling with arrays, PyBrain provides us with a more flexible data structure using which handling data can be quite easy.  A dataset can be displayed as a collection of named 2d-arrays. In machine learning, to handle each task it has special datasets....

PyBrain

It is an acronym for Python-Based Reinforcement Learning, Artificial Intelligence. In Python, it is a modular Machine Learning Library. It provides flexible algorithms for doing machine learning tasks. It also provides a good environment to test algorithms. This article focuses on creating a dataset using PyBrain....

Creating a dataset using PyBrain

To create a dataset using PyBrain one is required to use the pybrain.datasets (a dataset package of PyBrain). This dataset package offers the support of dataset classes. For example, it provides support for SequentialDataset, SupervisedDataset, ClassificationDataSet. The dataset that is to be used relies on the machine learning task that the programmer wants to implement. In this example, we are going to use SupervisedDataset. A SupervisedDataset dataset has the following syntax,...

Adding Data to Dataset

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