Patricio Cerda, Gael Varoquaux, “ Encoding high-cardinality string categorical variables”, arXiv:1907.

How to convert categorical data to numerical data?Īdvantages and disadvantages of one-hot encodingĬhEMBL database: “The ChEMBL bioactivity database: an update.” ( Nucleic acids research (2014), 42.D1, D1083-D1090)Īllen Chieng Hoon Choong, Nung Kion Lee, “ Evaluation of Convolutionary Neural Networks Modeling of DNA Sequences using Ordinal versus one-hot Encoding Method”, bioRxiv, October 25, 2017. What is the problem with categorical data? The aim of the talktorial is to perform one-hot encoding of SMILES structures on a subset of the ChEMBL data set to gain a deeper understanding on the one-hot encoding concept and why it is useful as a pre-processing step in various machine learning algorithms.

Yonghui Chen, 2020, Volkamer lab, CharitéĪndrea Volkamer, 2020, Volkamer lab, Charité Sakshi Misra, CADD seminar 2020, Charité/FU Berlin Note: This talktorial is a part of TeachOpenCADD, a platform that aims to teach domain-specific skills and to provide pipeline templates as starting points for research projects.

Keras implementation of one-hot encodingĭeveloped in the CADD seminar 2020, Volkamer Lab, Charité/FU Berlin.

Padding before one-hot encoding is performed.

Padding after one-hot encoding is performed.

Scikit-learn implementation of one-hot encoding.

Advantages and disadvantages of one-hot encoding.

How to convert categorical data to numerical data?.

What is the problem with categorical data?.

How to do one hot encoding in r