KNIME Summit
KNIME Spring Summit 2020
March 30 - April 3, 2020, Berlin
154 results
- This component copies column values from preceding rows into the current row in a Spark DataFrame/RDD. The component can be used to - make a copy of the selected column and shift the cells I steps up…Component
- This component implements substructure and similarity searches through ChEMBLdb using its API. More information can be found here: ChEMBL webservices: https://chembl.gitbook.io/chembl-interface-docum…Component
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- This Component should be nested within another Component to generate a flow chart header at the top of the Composite View. Such flow chart will help the business analyst on the KNIME WebPortal to und…Component
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- Image preprocessing for VGG neural network. The node expects a flow variable "currentColumnName" to define the column, which has to be preprocessed. Mimic "preprocess_input" from https://github.com/k…Component
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- Removes seasonality trend in input data. Required extensions: KNIME Quick Forms (https://hub.knime.com/knime/extensions/org.knime.features.js.quickforms/latest) KNIME Math Expression (JEP) (https://h…Component
- This Wrapped Metanode should be nested within another Wrapped Metanode to generate a flow chart header at the top of the Composite View. Such flow chart will help the business analyst on the KNIME We…Component
- Calculates one-period simple and log asset return series from asset price series. Each column selected in the configuration dialog is used to generate two new columns: * one-period simple return seri…Component
- This component reads customer data from three different sources and pre-processes the data.Component
- Displays options to set parameters for the following clustering.Component
- This component implements quantile normalization, which is a technique to make two distributions identical in statistical properties. See https://en.wikipedia.org/wiki/Quantile_normalization for furt…Component
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- Computes predictions from an estimated AutoRegressive Integrated Moving Average (ARIMA) model. Two types of predictions are computed: 1. Forecast: forecast of the given time series h periods ahead. 2…Component
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- This component performs a ChEMBL ID lookup by connecting to ChEMBL API via REST. More information can be found here: ChEMBL webservices: https://chembl.gitbook.io/chembl-interface-documentation/web-s…Component
- Re-add seasonality back into the input data. Required extensions: KNIME Quick Forms (https://hub.knime.com/knime/extensions/org.knime.features.js.quickforms/latest) KNIME Math Expression (JEP) (https…Component
- This component clusters the data and assign a color to each cluster.Component
