**460**
results

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- 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
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- This component clusters the data and assign a color to each cluster.Component
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- Displays options to set parameters for the following clustering.Component
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- 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
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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
- 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
- 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…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 generates a view monitoring the performance of a model captured by Integrated Deployment. The view works for machine learning classifiers for binary as well as multiclass targets. The …Component
- This Component generates a view by comparing the performance of two models captured by Integrated Deployment. The Component displays the performance of a new model starting from the date chosen by th…Component