Some have different syntax for model training and/or prediction. There are many different modeling functions in R.
The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. 22.2 Internal and External Performance Estimates.22 Feature Selection using Simulated Annealing.21.2 Internal and External Performance Estimates.21 Feature Selection using Genetic Algorithms.20.3 Recursive Feature Elimination via caret.20.2 Resampling and External Validation.19 Feature Selection using Univariate Filters.18.1 Models with Built-In Feature Selection.16.6 Neural Networks with a Principal Component Step.16.2 Partial Least Squares Discriminant Analysis.16.1 Yet Another k-Nearest Neighbor Function.13.9 Illustrative Example 6: Offsets in Generalized Linear Models.13.8 Illustrative Example 5: Optimizing probability thresholds for class imbalances.13.7 Illustrative Example 4: PLS Feature Extraction Pre-Processing.13.6 Illustrative Example 3: Nonstandard Formulas.13.5 Illustrative Example 2: Something More Complicated - LogitBoost.13.2 Illustrative Example 1: SVMs with Laplacian Kernels.12.1.2 Using additional data to measure performance.12.1.1 More versatile tools for preprocessing data.11.4 Using Custom Subsampling Techniques.7.0.27 Multivariate Adaptive Regression Splines.5.9 Fitting Models Without Parameter Tuning.5.8 Exploring and Comparing Resampling Distributions.5.7 Extracting Predictions and Class Probabilities.5.1 Model Training and Parameter Tuning.4.4 Simple Splitting with Important Groups.4.1 Simple Splitting Based on the Outcome.3.2 Zero- and Near Zero-Variance Predictors.You can select specific images for export and fine-tune their export settings. Easy Export – The new Export dialog implements the long-awaited option to export multiple render channels at once.You can now preview the channels being rendered and quickly switch between them without restarting rendering. New Approach to Channels – Thanks to the recent renderer rewrite, Filter Forge 7 brings in the ability to generate all render channels simultaneously and in parallel with the final image.Copy / Paste – Filter Forge 7.0 adds support for copying and pasting images that allows you to use Filter Forge together with any image editor regardless of its support for plugins.It simplifies filter creation and gives authors more room for creativity. Mappable Lists and Sliders – Filter Forge 7.0 refreshes 47 existing components, making their list and slider inputs mappable.Instant Component Search – New instant component search makes adding components to your filter faster and easier.Filter Forge 7.0 brings in improvements to sample caching that can speed up lots of filters. New Sample Cache Architecture Speeds Up Rendering – Rendering speed has always been a concern for many Filter Forge users.It features several thousand ready-made realistic and abstract textures and effects, and a powerful visual editor to create custom ones. Filter Forge is a high-end graphics app which allows you to generate textures, create visual effects, enhance photos, and process images.
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