Use Regression Forest to predict stock prices.
[Instructions]
1. stock_regression_forest_1_preparation.ipynb
Set the parameters:
• input_data: input data file path
• input_augmentation: the amount of data augmentation
• predicted_output: predict the stock price in a few days
• validation_proportion: the proportion of the validation data
After the setting is completed, it can be executed.
2. stock_regression_forest_2_train.ipynb
Set the parameters:
• num1: the number of data amplification
• num2: predict the stock price in a few days
After the setting is completed, it can be executed.
3. stock_regression_forest_3_inference.ipynb
Set the parameters:
• num1: the number of data amplification
• num2: predict the stock price in a few days
After the setting is completed, it can be executed.
After execution, you can see the results of Regression Forest inference.
This SDK is built in AppForAI - AI Dev Tools.
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