320 results
- Component
- This component analyzes the residuals of an ARIMA (AutoRegressive Integrated Moving Average) model by 1. visualizing auto correlation of the residuals 2. performing Ljung-Box test of autocorrelation …Component
- Trains an AutoRegressive Integrated Moving Average (ARIMA) model. ARIMA model captures temporal structures in time series data in the following components: - AR: Relationship between the current obse…Component
- 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
- 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 allows to filter columns and rename column names of a dataset. The workflow processes automatically all columns and shows them in the output port if nothing has been selected. Selected…Component
- Component
- Applies the Discrete Wavelet Transform (DWT) to selected input column with selected window sizes and steps for the selected wavelet. The following wavelets are supported: Haar (haar) Daubechies (db) …Component
- The Document Similarity Predictor applies the model obtained by the Document Similarity Learner to a test document. It computes the cosine similarity between the original corpus of documents table an…Component
- Component
- 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
- This component calculates autocorrelation with Pearson Correlation for lagged copies of time series. Additionally, it produces an interactive view that displays the Autocorrelation Function (ACF) Plo…Component
- Loads a Model from the TensorFlow Hub and wraps it into a Network with the defined inputs and the outputs of the Hub model. See https://tfhub.dev/ * TensorFlow, the TensorFlow logo and any related ma…Component
- This Component is required to sample the data to be visualized in the Partial Dependence/ICE Plot (JavaScript) node. You can select only numerical features of Double Type feature columns. The Compone…Component
- The Component uses IDs from several data sources to create an interactive pathway analysis based on the web service of Reactome. The input for the pathway enrichment analysis can either be a column t…Component
- The PDB Data Extractor component receives PDB IDs as input and fetches additional data about the provided structures like sequences or references to other databases like UniProt or PubMed. The compon…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
- This component reads customer data from three different sources and pre-processes the data.Component
- 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
- Component