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432 results

  1. Accuracy
    knime > Examples > 50_Applications > 28_Predicting_Departure_Delays > Templates > Accuracy
    Component
  2. ARIMA Learner
    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…
    knime > Examples > 00_Components > Time Series > ARIMA Learner
    Component
  3. Asset prices to one-period (log) returns
    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…
    knime > Examples > 00_Components > Financial Analysis > Asset prices to one-period (log) returns
    Component
  4. Column Name Editor
    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…
    knime > Examples > 00_Components > Data Manipulation > Column Name Editor
    Component
  5. Copy workflow
    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > Templates > Copy workflow
    Component
  6. Discrete Wavelet Transform (DWT)
    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) …
    knime > Examples > 00_Components > Time Series > Discrete Wavelet Transform (DWT)
    Component
  7. Document Similarity Predictor
    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…
    knime > Examples > 00_Components > Text Processing > Document Similarity Predictor
    Component
  8. Download dataset and convert to CSV
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 14_DeepLearningTutorial_MNIST > _metanodes_used_in_Using_DeepLearning_to_classify_Digits > Download dataset and convert to CSV
    Component
  9. Image preprocessing for VGG
    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…
    knime > Examples > 50_Applications > 56_Restyling_Images_using_Deep_Learning > Templates > Image preprocessing for VGG
    Component
  10. Interactive Column Filter
    This Component creates an interactive view to filter and select columns for your model based on the relevance of the columns to the ground truth specified. It also captures the user specified columns…
    knime > Examples > 00_Components > Guided Analytics > Interactive Column Filter
    Component
  11. Load TensorFlow Hub Model
    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…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > Load TensorFlow Hub Model
    Component
  12. One-Hot Encoder (Biological Sequences)
    This component takes a column containing biological sequences (DNA/RNA/Protein) and creates a one-hot encoded version of the sequences. Through the components configuration, it's possible to select a…
    knime > Examples > 00_Components > Life Sciences > One-Hot Encoder (Biological Sequences)
    Component
  13. Partial Dependence Pre-processing
    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…
    knime > Examples > 00_Components > Model Interpretability > Partial Dependence Pre-processing
    Component
  14. Pathway Enrichment Analysis
    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…
    knime > Examples > 00_Components > Life Sciences > Pathway Enrichment Analysis
    Component
  15. PDB Data Extractor
    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…
    knime > Examples > 00_Components > Life Sciences > PDB Data Extractor
    Component
  16. Quantile Normalization
    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…
    knime > Examples > 00_Components > Data Manipulation > Quantile Normalization
    Component
  17. Reading and Pre-Processing Data
    This component reads customer data from three different sources and pre-processes the data.
    knime > Education > Courses > L3-PC KNIME Server Course - Productionizing and Collaboration > Components > Reading and Pre-Processing Data
    Component
  18. Remove Seasonality
    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…
    knime > Examples > 00_Components > Time Series > Remove Seasonality
    Component
  19. Spark Lag Column
    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…
    knime > Examples > 00_Components > Time Series > Spark Lag Column
    Component
  20. Inspect Seasonality
    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…
    knime > Education > Courses > L4-TS Introduction to Time Series Analysis > Components > Inspect Seasonality
    Component

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