Compute Local Model-agnostic Explanations (LIMEs) This is an example for computing explanation using LIME. An XGBoost model was picked, but any model […]
This component helps to get first and last weekdays of either a business or calendar week. In addition, the component allows to also select dates in the […]
Document Classification: Model Training and Deployment The goal of this workflow is to do spam classification using YouTube comments as the dataset. The […]
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 […]
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 […]
Compute Local Model-agnostic Explanations […]
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 […]
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 […]
This Component is able to create a Local Interpretable Model-agnostic Explanation (LIME) to explain the predictions of any machine learning model in […]
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.