Index
| #++ | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| #: | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| :# | |
| 1 (Type/Class) | Data.Type.Tuple |
| 2 (Data Constructor) | Data.Type.Tuple |
| :## | Data.Type.Tuple |
| :#? | |
| 1 (Type/Class) | Data.Type.Tuple |
| 2 (Data Constructor) | Data.Type.Tuple |
| :&& | Data.Type.Tuple |
| <~ | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| absError | Backprop.Learn.Loss, Backprop.Learn |
| absErrorTest | Backprop.Learn.Test, Backprop.Learn |
| add | Backprop.Learn.Model, Backprop.Learn |
| addReg | Backprop.Learn.Regularize, Backprop.Learn.Loss, Backprop.Learn |
| apl | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| aplPFP | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| applyNoise | Backprop.Learn.Model.Stochastic, Backprop.Learn.Model, Backprop.Learn |
| applyNoiseR | Backprop.Learn.Model.Stochastic, Backprop.Learn.Model, Backprop.Learn |
| arima | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| arimaConstant | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| arimaEHist | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| ARIMAp | |
| 1 (Type/Class) | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| arimaPhi | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| ARIMAs | |
| 1 (Type/Class) | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| arimaTheta | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| arimaYHist | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| arimaYPred | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| arma | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| atan | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| autoregressive | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| Backprop | Backprop.Learn.Model, Backprop.Learn |
| bentIdentity | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| BFunc | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| BFuncStoch | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| boolTest | Backprop.Learn.Test, Backprop.Learn |
| conduitModel | Backprop.Learn.Run, Backprop.Learn |
| conduitModelStoch | Backprop.Learn.Run, Backprop.Learn |
| consecutives | Backprop.Learn.Run, Backprop.Learn |
| consecutivesN | Backprop.Learn.Run, Backprop.Learn |
| crossEntropy | Backprop.Learn.Loss, Backprop.Learn |
| crossEntropy1 | Backprop.Learn.Loss, Backprop.Learn |
| crossEntropyTest | Backprop.Learn.Test, Backprop.Learn |
| crossEntropyTest1 | Backprop.Learn.Test, Backprop.Learn |
| curryT2 | Data.Type.Tuple |
| decodeParam | Backprop.Learn.Model, Backprop.Learn |
| decodeParamOrFail | Backprop.Learn.Model, Backprop.Learn |
| deParam | Backprop.Learn.Model.Parameter, Backprop.Learn.Model, Backprop.Learn |
| deParamD | Backprop.Learn.Model.Parameter, Backprop.Learn.Model, Backprop.Learn |
| deState | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| deStateD | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| dropout | Backprop.Learn.Model.Stochastic, Backprop.Learn.Model, Backprop.Learn |
| dummyParam | Backprop.Learn.Model.Parameter, Backprop.Learn.Model, Backprop.Learn |
| dummyState | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| eLU | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| encodeParam | Backprop.Learn.Model, Backprop.Learn |
| expandLRpInput | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| expandLRpOutput | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| fc | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fca | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fcBias | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| FCp | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fcr | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fcra | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fcrBias | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fcrInputWeights | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| FCRp | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fcrStateWeights | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| fcWeights | Backprop.Learn.Model.Neural, Backprop.Learn.Model, Backprop.Learn |
| feedback | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| feedbackTrace | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| forkModel | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| fromPJust | Data.Type.Tuple, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| Func | |
| 1 (Type/Class) | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| funcD | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| gaussian | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| getTF | Data.Type.Tuple |
| gInitialize | Backprop.Learn.Initialize, Backprop.Learn |
| glasso | Backprop.Learn.Regularize |
| Grad | Backprop.Learn.Train, Backprop.Learn |
| gradModel | Backprop.Learn.Model, Backprop.Learn |
| gradModelLoss | Backprop.Learn.Train, Backprop.Learn |
| gradModelStoch | Backprop.Learn.Model, Backprop.Learn |
| gradModelStochLoss | Backprop.Learn.Train, Backprop.Learn |
| gridge | Backprop.Learn.Regularize |
| grnorm_1 | Backprop.Learn.Regularize |
| grnorm_2 | Backprop.Learn.Regularize |
| gru | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| gru' | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| gruMemory | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| gruOutput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| GRUp | |
| 1 (Type/Class) | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| gruUpdate | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| indexT | Data.Type.Tuple |
| Initialize | Backprop.Learn.Initialize, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| initialize | Backprop.Learn.Initialize, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| initializeNormal | Backprop.Learn.Initialize, Backprop.Learn |
| initializeSingle | Backprop.Learn.Initialize, Backprop.Learn |
| initParam | Backprop.Learn.Model, Backprop.Learn |
| initParamNormal | Backprop.Learn.Model, Backprop.Learn |
| injectNoise | Backprop.Learn.Model.Stochastic, Backprop.Learn.Model, Backprop.Learn |
| injectNoiseR | Backprop.Learn.Model.Stochastic, Backprop.Learn.Model, Backprop.Learn |
| isrLU | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| isru | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| iterateModel | Backprop.Learn.Model, Backprop.Learn |
| iterateModelM | Backprop.Learn.Model, Backprop.Learn |
| iterateModelM_ | Backprop.Learn.Model, Backprop.Learn |
| iterateModelStoch | Backprop.Learn.Model, Backprop.Learn |
| iterateModelStoch_ | Backprop.Learn.Model, Backprop.Learn |
| iterateModel_ | Backprop.Learn.Model, Backprop.Learn |
| kSparse | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| l1Reg | Backprop.Learn.Regularize, Backprop.Learn.Loss, Backprop.Learn |
| l1RegMetric | Backprop.Learn.Regularize |
| l2Reg | Backprop.Learn.Regularize, Backprop.Learn.Loss, Backprop.Learn |
| l2RegMetric | Backprop.Learn.Regularize |
| lasso | Backprop.Learn.Regularize, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| lassoLinear | Backprop.Learn.Regularize |
| lastLoss | Backprop.Learn.Loss, Backprop.Learn |
| leadings | Backprop.Learn.Run, Backprop.Learn |
| Learnable | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| Learnables | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| liftLM | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| liftUniform | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| linReg | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| lmapTest | Backprop.Learn.Test, Backprop.Learn |
| LModel | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| loadParam | Backprop.Learn.Model, Backprop.Learn |
| loadParamOrFail | Backprop.Learn.Model, Backprop.Learn |
| logistic | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| logReg | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| Loss | Backprop.Learn.Loss, Backprop.Learn |
| lossTest | Backprop.Learn.Test, Backprop.Learn |
| lrAlpha | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| lrBeta | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| LRp | |
| 1 (Type/Class) | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| lstm | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| lstm' | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| lstmForget | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| lstmInput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| lstmOutput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| LSTMp | |
| 1 (Type/Class) | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| lstmUpdate | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| maxIndex | Backprop.Learn.Run, Backprop.Learn |
| maxIndexR | Backprop.Learn.Run, Backprop.Learn |
| maxIxTest | Backprop.Learn.Test, Backprop.Learn |
| maxout | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| MaybB | Data.Type.Tuple |
| meanModel | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| Model | |
| 1 (Type/Class) | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| modelD | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| ModelFunc | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| ModelFuncM | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| ModelFuncStateless | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| ModelFuncStoch | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| ModelFuncStochStateless | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| modelGrad | Backprop.Learn.Train, Backprop.Learn |
| modelGradStoch | Backprop.Learn.Train, Backprop.Learn |
| ModelStateless | |
| 1 (Type/Class) | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| 2 (Data Constructor) | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| modelStatelessD | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| movingAverage | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| nilLM | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |
| noReg | Backprop.Learn.Regularize, Backprop.Learn.Loss, Backprop.Learn |
| NoRegularize | |
| 1 (Type/Class) | Backprop.Learn.Regularize |
| 2 (Data Constructor) | Backprop.Learn.Regularize |
| one | Backprop.Learn.Model, Backprop.Learn |
| oneHot | Backprop.Learn.Run, Backprop.Learn |
| oneHot' | Backprop.Learn.Run, Backprop.Learn |
| oneHotR | Backprop.Learn.Run, Backprop.Learn |
| onlyT | Data.Type.Tuple |
| permuteLRpOutput | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| PJust | Data.Type.Tuple, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| PMaybe | Data.Type.Tuple, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| PNothing | Data.Type.Tuple, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| preLU | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| premuteLRpInput | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| primeModel | Backprop.Learn.Model, Backprop.Learn |
| primeModelStoch | Backprop.Learn.Model, Backprop.Learn |
| rangeModel | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| recurrent | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| Regularize | Backprop.Learn.Regularize, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| RegularizeMetric | |
| 1 (Type/Class) | Backprop.Learn.Regularize |
| 2 (Data Constructor) | Backprop.Learn.Regularize |
| Regularizer | Backprop.Learn.Regularize, Backprop.Learn.Loss, Backprop.Learn |
| reLU | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| reParam | Backprop.Learn.Model.Parameter, Backprop.Learn.Model, Backprop.Learn |
| reParamD | Backprop.Learn.Model.Parameter, Backprop.Learn.Model, Backprop.Learn |
| reshapeLCols | Backprop.Learn.Initialize, Backprop.Learn |
| reshapeLRows | Backprop.Learn.Initialize, Backprop.Learn |
| reshapeLRpInput | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| reshapeLRpOutput | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| reshapeLSTMpInput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| reshapeLSTMpOutput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| reshapeR | Backprop.Learn.Initialize, Backprop.Learn |
| ridge | Backprop.Learn.Regularize, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| ridgeLinear | Backprop.Learn.Regularize |
| rmseTest | Backprop.Learn.Test, Backprop.Learn |
| rnorm_1 | Backprop.Learn.Regularize, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| rnorm_2 | Backprop.Learn.Regularize, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| rreLU | Backprop.Learn.Model.Stochastic, Backprop.Learn.Model, Backprop.Learn |
| runFunc | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| runFuncStoch | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| runLearn | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| runLearnStateless | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| runLearnStoch | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| runLearnStochStateless | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| runLRp | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| runModel | Backprop.Learn.Model, Backprop.Learn |
| runModelStateless | Backprop.Learn.Model, Backprop.Learn |
| runModelStoch | Backprop.Learn.Model, Backprop.Learn |
| runModelStochStateless | Backprop.Learn.Model, Backprop.Learn |
| saveParam | Backprop.Learn.Model, Backprop.Learn |
| scaleLoss | Backprop.Learn.Loss, Backprop.Learn |
| scaleReg | Backprop.Learn.Regularize, Backprop.Learn.Loss, Backprop.Learn |
| scanModel | Backprop.Learn.Model, Backprop.Learn |
| scanModelStoch | Backprop.Learn.Model, Backprop.Learn |
| scanModelStoch_ | Backprop.Learn.Model, Backprop.Learn |
| scanModel_ | Backprop.Learn.Model, Backprop.Learn |
| selfPrime | Backprop.Learn.Model, Backprop.Learn |
| selfPrimeM | Backprop.Learn.Model, Backprop.Learn |
| siLU | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| sin | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| sinc | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| softExponential | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| softMax | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| softPlus | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| softsign | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| splitTupMaybe | Data.Type.Tuple |
| squaredError | Backprop.Learn.Loss, Backprop.Learn |
| squaredErrorTest | Backprop.Learn.Test, Backprop.Learn |
| squaredErrorTestV | Backprop.Learn.Test, Backprop.Learn |
| squaredErrorV | Backprop.Learn.Loss, Backprop.Learn |
| sreLU | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| sreLUPFP | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| stdevModel | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| step | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| sumLoss | Backprop.Learn.Loss, Backprop.Learn |
| sumLossDecay | Backprop.Learn.Loss, Backprop.Learn |
| T | Data.Type.Tuple |
| T0 | |
| 1 (Type/Class) | Data.Type.Tuple |
| 2 (Data Constructor) | Data.Type.Tuple |
| t2Loss | Backprop.Learn.Loss, Backprop.Learn |
| t2Tup | Data.Type.Tuple |
| t2_1 | Data.Type.Tuple |
| t2_2 | Data.Type.Tuple |
| tanh | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| Test | Backprop.Learn.Test, Backprop.Learn |
| testModel | Backprop.Learn.Test, Backprop.Learn |
| testModelAll | Backprop.Learn.Test, Backprop.Learn |
| testModelCorr | Backprop.Learn.Test, Backprop.Learn |
| testModelCov | Backprop.Learn.Test, Backprop.Learn |
| testModelStoch | Backprop.Learn.Test, Backprop.Learn |
| testModelStochAll | Backprop.Learn.Test, Backprop.Learn |
| testModelStochCorr | Backprop.Learn.Test, Backprop.Learn |
| testModelStochCov | Backprop.Learn.Test, Backprop.Learn |
| TF | |
| 1 (Type/Class) | Data.Type.Tuple |
| 2 (Data Constructor) | Data.Type.Tuple |
| tHead | Data.Type.Tuple |
| TJust | Data.Type.Tuple, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| TMaybe | Data.Type.Tuple, Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| tOnly | Data.Type.Tuple |
| totalSquaredError | Backprop.Learn.Loss, Backprop.Learn |
| totalSquaredErrorTest | Backprop.Learn.Test, Backprop.Learn |
| trainState | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| tTail | Data.Type.Tuple |
| tupMaybe | Data.Type.Tuple |
| tupT2 | Data.Type.Tuple |
| uncurryT2 | Data.Type.Tuple |
| unroll | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| unrollFinal | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| varModel | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| vmap | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| vmap' | Backprop.Learn.Model.Function, Backprop.Learn.Model, Backprop.Learn |
| withModelFunc | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| withModelFunc0 | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| withModelFunc2 | Backprop.Learn.Model.Types, Backprop.Learn.Model, Backprop.Learn |
| zero | Backprop.Learn.Model, Backprop.Learn |
| zeroState | Backprop.Learn.Model.State, Backprop.Learn.Model, Backprop.Learn |
| zipLoss | Backprop.Learn.Loss, Backprop.Learn |
| _arimaConstant | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _arimaEHist | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _arimaPhi | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _arimaTheta | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _arimaYHist | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _arimaYPred | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _gruMemory | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| _gruOutput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| _gruUpdate | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| _lrAlpha | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _lrBeta | Backprop.Learn.Model.Regression, Backprop.Learn.Model, Backprop.Learn |
| _lstmForget | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| _lstmInput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| _lstmOutput | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| _lstmUpdate | Backprop.Learn.Model.Neural.LSTM, Backprop.Learn.Model, Backprop.Learn |
| ~> | Backprop.Learn.Model.Combinator, Backprop.Learn.Model, Backprop.Learn |