Use Regression Forest to predict stock prices.

[Instructions]

1_train.ipynb

Set the parameters:

• train_input_filename: input data file path

• model_filename: the path of the output prediction file

• scaler_filename: output normalized file path

• train_output_filename: the path of the output prediction file

• modelEstimators: the number of Estimators

After the setting is completed, it can be executed.

2. 2_inference.ipynb

Set the parameters:

• inference_input_filename: input data file path

• model_filename: input model file path

• scaler_filename: input normalized file path

• inference_output_filename: the path of the output prediction file

After the setting is completed, it can be executed.

After execution, you can see the results of Regression Forest inference.

Jupyter-Data-Regression-Forest-inference.png

This SDK is built in AppForAI - AI Dev Tools.

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