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Add usage of neural networks in pred readme

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DidierRLopes
2021-02-20 19:35:02 +00:00
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prediction_techniques/README.md
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@@ -94,7 +94,7 @@ usage: regression -p N_POLYNOMIAL [-i N_INPUTS] [-d N_DAYS] [-j N_JUMPS]
## arima <a name="arima"></a>
```
usage: arima [-d N_DAYS] [-i {aic,aicc,bic,hqic,oob}] [-s] [-o S_ORDER] [-r]
usage: arima [-d N_DAYS] [-i {aic,aicc,bic,hqic,oob}] [-s] [-r] [-o S_ORDER]
```
* -d : prediciton days. Default 5.
* -i : information criteria - used if auto_arima library is invoked. Default aic.
@@ -116,14 +116,47 @@ usage: fbprophet [-d N_DAYS]
![prophet](https://user-images.githubusercontent.com/25267873/108604938-cf9ffa00-73a8-11eb-973b-0affb343e2f6.png)
## mlp <a name="mlp"></a>
```
usage: mlp [-d N_DAYS] [-i N_INPUTS] [-j N_JUMPS] [-e N_EPOCHS] [-p {normalization,standardization,none}]
[-o {adam,adagrad,adadelta,adamax,ftrl,nadam,optimizer,rmsprop,sgd}] [-l {mae,mape,mse,msle}]
```
* -d : prediciton days. Default 5.
* -i : number of days to use for prediction. Default 40.
* -j : number of jumps in training data. Default 1.
* -e : number of training epochs. Default 200.
* -p : pre-processing data. Default normalization.
* -o : optimization technique. Default adam.
* -l : loss function. Default mae.
![mlp](https://user-images.githubusercontent.com/25267873/108604944-d2025400-73a8-11eb-9ab6-52972160cd2a.png)
## rnn <a name="rnn"></a>
```
usage: rnn [-d N_DAYS] [-i N_INPUTS] [-j N_JUMPS] [-e N_EPOCHS] [-p {normalization,standardization,none}]
[-o {adam,adagrad,adadelta,adamax,ftrl,nadam,optimizer,rmsprop,sgd}] [-l {mae,mape,mse,msle}]
```
* -d : prediciton days. Default 5.
* -i : number of days to use for prediction. Default 40.
* -j : number of jumps in training data. Default 1.
* -e : number of training epochs. Default 200.
* -p : pre-processing data. Default normalization.
* -o : optimization technique. Default adam.
* -l : loss function. Default mae.
![rnn](https://user-images.githubusercontent.com/25267873/108604940-d0d12700-73a8-11eb-837e-a5aa128942d9.png)
## lstm <a name="lstm"></a>
```
usage: lstm [-d N_DAYS] [-i N_INPUTS] [-j N_JUMPS] [-e N_EPOCHS] [-p {normalization,standardization,none}]
[-o {adam,adagrad,adadelta,adamax,ftrl,nadam,optimizer,rmsprop,sgd}] [-l {mae,mape,mse,msle}]
```
* -d : prediciton days. Default 5.
* -i : number of days to use for prediction. Default 40.
* -j : number of jumps in training data. Default 1.
* -e : number of training epochs. Default 200.
* -p : pre-processing data. Default normalization.
* -o : optimization technique. Default adam.
* -l : loss function. Default mae.
![lstm](https://user-images.githubusercontent.com/25267873/108604943-d2025400-73a8-11eb-83c5-edb4a2121cba.png)