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Add documentation for previous commits

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Aaron Cutright
2021-03-15 23:39:11 -04:00
parent ba6e21449f
commit a1bf6efd52
1 changed files with 13 additions and 1 deletions
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14
gamestonk_terminal/prediction_techniques/README.md
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@@ -164,6 +164,10 @@ MulitLayer Perceptron:
* -o : optimization technique. Default adam.
* -l : loss function. Default mae.
* -e : end date (format YYYY-MM-DD) of the stock - Backtesting. Default None.
* --xla_cpu: if present, will enable XLA for CPU (overrides environment variables during run).
* --xla_gpu: if present, will enable XLA for GPU (overrides environment variables during run).
* --force_allow_gpu_growth: if true, will force TensorFlow to allow GPU memory usage to grow as needed. Otherwise will allocate 100% of available GPU memory when CUDA is set up. Default true.
* --batch_size: batch size for model training, should not be used unless advanced user. Default None.
Due to the complexity of defining a model through command line, one can define it in: [config_neural_network_models.txt](/config_neural_network_models.py)
```
@@ -196,6 +200,10 @@ Recurrent Neural Network:
* -o : optimization technique. Default adam.
* -l : loss function. Default mae.
* -e : end date (format YYYY-MM-DD) of the stock - Backtesting. Default None.
* --xla_cpu: if present, will enable XLA for CPU (overrides environment variables during run).
* --xla_gpu: if present, will enable XLA for GPU (overrides environment variables during run).
* --force_allow_gpu_growth: if true, will force TensorFlow to allow GPU memory usage to grow as needed. Otherwise will allocate 100% of available GPU memory when CUDA is set up. Default true.
* --batch_size: batch size for model training, should not be used unless advanced user. Default None.
Due to the complexity of defining a model through command line, one can define it in: [config_neural_network_models.txt](/config_neural_network_models.py)
```
@@ -228,8 +236,12 @@ Long-Short Term Memory:
* -o : optimization technique. Default adam.
* -l : loss function. Default mae.
* -e : end date (format YYYY-MM-DD) of the stock - Backtesting. Default None.
* --xla_cpu: if present, will enable XLA for CPU (overrides environment variables during run).
* --xla_gpu: if present, will enable XLA for GPU (overrides environment variables during run).
* --force_allow_gpu_growth: if true, will force TensorFlow to allow GPU memory usage to grow as needed. Otherwise will allocate 100% of available GPU memory when CUDA is set up. Default true.
* --batch_size: batch size for model training, should not be used unless advanced user. Default None.
Due to the complexity of defining a model through command line, one can define it in: [config_neural_network_models.txt](/config_neural_network_models.py)
Due to the complexity of defining a model through command line, one can define it in: [config_neural_network_models.py](/config_neural_network_models.py)
```
Long_Short_Term_Memory \
= [ {'LSTM':