Man pages for OscarGVelasco/DeepNeuralNetworks4R
Implementation of Deep Neural Networks in R language
| deepNeuralNetwork.build | Build the Neural Network structure and initial values. |
| deepNeuralNetwork.predict | Calculate a prediction from a trained DeepNNModel. |
| deepNeuralNetwork.run | Partial Prediction for in-training use. |
| deepNeuralNetwork.save | Saves a DeepNNModel object to a file. |
| deepNeuralNetwork.standarize | Standarizes the input data. |
| deepNeuralNetwork.standarizegenescore | Standarizes the input data using a feature as a target. |
| deepNeuralNetwork.training | Train the Deep Neural Network to obtain a regression model. |
| draw.dnn | Plot of the DNN |
| mplot_lineal | Linear Regression Results Plot |
| residuals_plot | Plot of the residuals Results |
| test.data | Gene expression of 3 different human brain datasets of cortex... |
| training.data | Gene expression of 3 different human brain datasets of cortex... |
