Man pages for modello
Homemade Deep Learning Library
| abs.modello_number | Number Abs |
| adam.opt | Create Adam optmiser |
| bind | Bind |
| bin.entropy | Binary Entropy |
| cosh.modello_number | Number CosH |
| cos.modello_number | Number Cosine |
| cross.entropy | Cross-entropy |
| DataLoader.CSV | R6 class representing a cluster LaF csv data loaders |
| DataLoader.Seq | R6 class representign a data loader for sequence datasets. |
| DataSet.Array | R6 class representing an array dataset |
| DataSet.CSV | R6 class representing a LaF csv data loader |
| DataSet.Seq | R6 class representign a dataset of sequences to feed RNN |
| dfun | Finite Differences |
| dim.modello_number | Get Number Shape |
| dot-graph | R6 class representing a computational graph |
| dot-ids | Get IDs |
| dot-k | Create constnat scalar number |
| dot-modello | Object containing the corrent session. |
| dot-modello_number | Number Subtraction |
| dot-modello.session | R6 class representing the current modello session |
| dot-number | Number Legnth |
| dot-opt | Root R6 class representing a generic 'optmiser' |
| embeddings | Embeddings |
| exp.modello_number | Number Exponential |
| gemm | Genral Matrix Multiplication |
| gemv | Genral Matrix-Vector Multiplication |
| ger | Genral Vector Outer Product |
| grapes-.-grapes | Matrix - Matrix Multiplication |
| grapes-.T-grapes | Matrix - Matrix Traspose Multiplication |
| grapes-T.-grapes | Matrix Transpose - Matrix Multiplication |
| grapes-T.T-grapes | Matrix Traspose - Matrix Traspose Multiplication |
| graph.close | Close Graph |
| graph.open | Open Graph |
| invMat | Number Inverse Matrix |
| is.graph | Is Graph |
| is.number | Is Number |
| is.opt | Is Optimiser |
| ldbeta | Beta Distribution: log-density |
| ldexp | Exponential Distribution: log-density |
| ldgamma | Gamma Distribution: log-density |
| ldlaplace | Laplace Distribution: log-density |
| ldmvnorm | Multivariante Normal: log-density |
| ldnorm | Normal Distribution: log-density |
| length.modello_number | Number Length |
| lkh.norm | Weighted Normal Likelihood for Independent Variables |
| log.modello_number | Number Log |
| mae | Mean Absolute Error |
| modello | modello: A package for creating computational graphs. |
| modello.close | Close Modello Session |
| modello.gc | Modello Session Garbage Collector |
| modello.init | Initialise Modello Session |
| modello.is.init | Modello Is Initialised |
| modello.reset | Reset Modello Session |
| module | R6 class representing a module |
| module.fc | R6 class representing a fully connected layer. |
| module_from_RDS | Load Module from RDS |
| module.lm | R6 class representing a linear model. |
| module.logistic | R6 class representing a logistic regression model. |
| module.LSTM | R6 class representing an LSTM. |
| module.LstmUnit | R6 class representing the recurrent layer of a LSTM network |
| module.RecUnit | R6 class representing the recurrent layer of a Elmam or... |
| module.RNN | R6 class representing an RNN. |
| module.softmax | R6 class representing a softmax regression model. |
| mse | Mean Squared Error |
| number | Create New Number |
| number_from_list | Number from Collected List |
| number_from_RDS | Load Number from RDS |
| plus-.modello_number | Number Addition |
| pop | Pop Modello Objects |
| pow-.modello_number | Number Power |
| relu | ReLU |
| sgd.opt | Create SGD optimiser |
| sgdwm.opt | Create SGDWM optmiser |
| sigmoid | Sigmoid |
| sinh.modello_number | Number SinH |
| sin.modello_number | Number Sin |
| slash-.modello_number | Number Division |
| softmax | Number Softmax |
| ssq | Sum of Squares |
| sub-.modello_number | Silce Numbers |
| subset-.modello_number | Sets the value of a slice in a 'number' |
| sum.modello_number | Sum |
| swish | Number Swish |
| tanh.modello_number | Number TanH |
| tan.modello_number | Number Tan |
| times-.modello_number | Number Multiplication |
