For nearly every major ML algorithm available in R. It integrates all activities related to model development in a streamlined workflow. IntroductionĬaret is short for Classification And REgression Training. How to combine the predictions of multiple models to form a final prediction 10. How to ensemble predictions from multiple models using caretEnsemble? 9.2. How to evaluate the performance of multiple machine learning algorithms? 8.1. Hyperparameter Tuning using `tuneGrid` 8. Setting up the `trainControl()` 7.2 Hyperparameter Tuning using `tuneLength` 7.3. How to do hyperparameter tuning to optimize the model for better performance? 7.1. Prepare the test dataset and predict 6.4. How to `train()` the model and interpret the results? 6.2 How to compute variable importance? 6.3. How to do feature selection using recursive feature elimination (`rfe`)? 6. How to visualize the importance of variables using `featurePlot()` 5. How to preprocess to transform the data? 4. How to create One-Hot Encoding (dummy variables)? 3.5. How to impute missing values using preProcess()? 3.4. How to split the dataset into training and validation? 3.2. Initial Setup – load the package and dataset 3. Be it a decision tree or xgboost, caret helps to find the optimal model in the shortest possible time.Ĭaret Package – A Practical Guide to Machine Learning in R. In this tutorial, I explain nearly all the core features of the caret package and walk you through the step-by-step process of building predictive models. I must restate that I love this band and still listen to all their albums.很不错的一片梳理机器学习使用流程的文章,原文搬运过来如下( ref website):Ĭaret Package is a comprehensive framework for building machine learning models in R. So it was a mediocre at best effort for me. Universal Pulse was described as quality over quantity but to me it feels like they made an attempt to appease the longtime fan and keep the new ones. Which brings me to their most recent effort. This makes Uplfter full of songs suited for pop radio but because they have never really been relavent to mainstream pop or at least not in recent years the songs end up being seen by longtime fans as trying to cater to mainstream and to the pop listener who happens to come across a song as a viable alternative to today's music never realizing or never connecting with the majority of the previous albums. Both albums were made with the live performance as the focus. They were coming off of the last highly successful single Love Song(cover.) I enjoy this album but feel the bands relavence to me beginning to slip away. Don't Tread On Me was a very happy album as far as it's overal tone. This album is notorious fr having a song that sounds like a direct rip off of Flowing. I enjoyed the more rock based sound and the few instances where Nick raps felt appropriate. I did not like this album upon first listen and it has since become my secret #1 311 album. Still enjoy a majority of these songs.Įvolver and Don't Tread On Me. From Chaos felt like the last album to try and keep it vintage 311. Read the lyrics and on a number of songs you can tell there was conflict that brought out the lyrics. Put on a set of headphones and get the newly pressed Soundsystem on your TT. This makes it not better than Transistor but just as great but not for the same reasons. Soundsystem is their best produced and lyrically most mature album. S/T and Transistor hold special places for me because they were my first albums and I was really into their simple yet positive lyrics and the music. I will always wonder what a cleaned up version would sound like. I consider their first two albums to be great efforts and although the production on Grassroots leaves a lot to be desired I love the "raw" (for lack of a better term) sound f it. I had their S/T and Transistor lost touch and reconnected in 2001 with From Chaos. But this is the music that I really identified with. I listen to so much stuff now that in some instances they could be perceived as a guilty pleasure. I used to consider them my favorite modern band. I have moved this band to my Hall of Fame.
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