Use LSTM to train and predict the ticket sales.
[Instructions]
1. 1_delete_log.ipynb
Delete the old logs file.
2. 2_train.ipynb
Set the parameters:
• train_input_filename: input data file path
• train_output_filename: the path of the output prediction file
• model_filename: the path of the output model file
• scaler_filename: output normalized file path
• log_path: The log file path of log_path output
• time_seq: the length of the time series
• learning_rate: learning rate
• epochs: the number of epochs
Set neural network parameters:
• hidden_layer_size: hidden layer neurons
• num_layers: the number of layers of the network
After the setting is completed, it can be executed.
3. 3_kill_tensorboard.ipynb
Delete the previous tensorboard.
4. 4_tensorboard.ipynb
Start tensorboard.
5. 5_inference.ipynb
Set the parameters parameter:
• inference_input_filename: input data file path
• inference_output_filename: the path of the output prediction file
• model_filename: input model file path
• scaler_filename: input normalized file path
• time_seq: length of time series
Set neural network parameters:
• hidden_layer_size: hidden layer neurons
• num_layers: the number of layers of the network
After the setting is completed, it can be executed.
After execution, you can see the result of LSTM inference.
This SDK is built in AppForAI - AI Dev Tools.
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