| augmentation | Function for data augmentation, go inside a list and append... |
| binary.state | Calculate probability real values |
| chrom.pict | Function to plot the 3 channel of an array as chromatograms, |
| chrom.raster | Function to plot a picture AND the 3 channel of an array as... |
| clusterize | function to clusterize the code of the model |
| create.new.color | Function to calculate the euclidean distance of each pixel to... |
| dbn.dnn.train | Training a Deep neural network with weights initialized by... |
| dbn.down | Predict visible unit from top hidden layer |
| dbn.train | Training a Deep Belief Net |
| dbn.up | Predict top layer hidden unit from visible units |
| deconstruct | function to deconstruct an array, |
| deconstruct.convol | function to deconstruct an array, |
| do.rbm.train | do the rbm training, mean to be use inside rbm.train |
| evolve | function to reconstruct an array from a df by evolving one of... |
| f.count.successif | function to count the number of successif occurence in a... |
| f.eat.image | Function to extract chromatograms from an 3d array, or a 2d... |
| f.integrate | function to extract chromato, corret baseline, integrate peak |
| f.integrate_extracted | function to integrate peaks from 3d chromato array |
| f.read.image | Function to read image files |
| f.read.image.multiple | Deprecated. Function to read multiple image file |
| layer.3D | function to plot a matrix |
| map | Modification of the map function of the kohonen package in... |
| map.kohonen | Modification of the map.kohonen function of the kohonen... |
| nn.predict | Predict new samples by Trainded NN |
| nn.test | Test new samples by Trainded NN |
| nn.train | Training Neural Network |
| normalize | Function to normalize array or matrix |
| raster | function to plot an image |
| raster_figure | function to plot several figures, for publication |
| rbm.down | Generate visible vector by hidden units states |
| rbm.train | Training a RBM(restricted Boltzmann Machine) |
| rbm.up | Infer hidden units state by visible units |
| reconstruct | function to reconstruct an array from a matrix, |
| reconstruct.convol | function to reconstruct an array from a matrix, |
| redim.array | Function to redimension a 3D array |
| run.plate_prediction | Function to launch the tlc_var_selector app |
| run.rtlc | Function to launch the rtlc app |
| run.tlcbrain | Function to launch the tlc-brain app |
| run.tlc_denoising | Function to launch the tlc_denoising app |
| run.tlc_RBM_classification | Function to launch the tlc_RBM_classification app |
| run.tlc_var_selector | Function to launch the tlc_var_selector app |
| sae.train | Training a Stacked Autoencoder |
| saveData | Function to create the data base on mongodb, not working yet |
| shift.array | Function to shift a 3D array |
| sigm | function for sigm unit |
| SOM.cluster | Function to apply a pipeline of deconstruction, learning,... |
| SOM.cluster.plot | Function to plot an object return by the SOM.cluster function |
| SOM.cluster.plot.evolve | Function to plot the evolution of a picture |
| SOM.cluster.plot.picture | Function to plot a picture |
| unit_state_raster | function to plot the image of a given hidden unit state for... |
| vec2patch | function to plot the image of a given hidden unit state for... |
| which.click.kohonen | Function to know which cell was click, used in the shiny apps |
