Use XGBoost to predict the survival of Titanic passengers.
[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 parameter:
• 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 XGBoost inference.
3. 3_inference_api.ipynb
Use Web API to perform inferences.
4. 4_inference_api_browser.ipynb
Open the browser to use the API.
This SDK is built in AppForAI - AI Dev Tools.
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