02_Document_Classification
Document Classification: Model Training and Deployment The goal of this workflow is to do spam classification using YouTube comments as the dataset. The […]
01_Compute_LIMEs
Compute Local Model-agnostic Explanations (LIMEs) This is an example for computing explanation using LIME. An XGBoost model was picked, but any model […]
01_Compute_LIMEs
Compute Local Model-agnostic Explanations […]
05_Private_Google_Sheet-meets-Excel
Accounting Sheets for a Restaurant Business. In 2016 an Excel File was used. In 2017 a Google Sheet was used. Now we want to compare the monthly and YTD […]
Compute LIME
This Component is able to create a Local Interpretable Model-agnostic Explanation (LIME) to explain the predictions of any machine learning model in […]
04_Public_Google_Sheet-meets-Excel
Accounting Sheets for a Restaurant Business. In 2016 an Excel File was used. In 2017 a Google Sheet was used. Now we want to compare the monthly and YTD […]
01_Compute_LIMEs
This is an example for computing explanation using LIME. An XGBoost model was picked, but any model and its set of Learner and Predictor nodes can be […]
13_H2O_AutoML_on_Spark
This workflow trains classification models for the Airlines Delay dataset using H2O AutoML on Spark. The dataset is expected to be stored on S3 in parquet […]
Big Data Group Project (ML)
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