I am looking into performing NLP in Rust and sprs is a great library for creating sparse matrices in Rust. Now once those matrices are created I would like to use some machine learning algorithm to learn from those matrices. I can see that rustlearn has sparse matrices implemented. A basic way of converting one to the other would be to convert one to a vector and then load the other from the vector, but as expected this method blows up in my face. How can I convert from sprs vectors to rustlearn vectors?

#### Linked Questions

- Candidate Elimination Algorithm - special situation
- Tic Tac Toe using Machine Learning with LMS rule
- Predict Titanic Survival
- adjusted rand index (ARI)
- How to explain the training process in restricted Boltzmann machine?
- How is a mainboard programmed?
- How to train software so it recognize the kind of object shown in a picture?
- Which machine learning classifier to choose, in general?
- Is there any difference between most specific hypotheses obtained by Candidate Elimination and Find-S methods?
- Weak hypotheses in boosting method
- Clarification How CRF(Conditional random Field) works using examples
- Can the value of information gain be negative?
- Useful Entry-Level Resources for Machine Learning
- How to test an Machine Learning or statistic NLP algorithm implementation pack?
- What is a Learning Curve in machine learning?

#### Popular Questions

- Dynamic partition in hive
- Woocommerce Different Products Different Currency
- Rails render js file but can't execute it
- My rotated TextView is cut off. What i have to do?
- Store object created by gson in greenDao
- Clicking on array of images to add them to Konva stage
- How to sort a Google Charts DataTable or DataView using a function?
- 2 column layout looping through MVC model c#
- Integrating SVN with TFS
- Rails - after_initialize or initializer

## 0 Answers

#### Related Questions

- Problem with c4.5
- Patterns of key-value pairs in text
- Recommendation system based on user liking in mahout
- Is it possible for features to be lists for clustering algorithms?
- Pseudo-dimension of real-valued functions
- how can I create decision tree (ID3)?
- In machine learning, what are things you can do to limit the number of required training samples?
- What are the best methods and algorithms available in Machine Learning for automatically detecting and extracting EVENTS from E-mails
- A kernel function for multi-dimensional dataset
- How to find most popular product
- How to visualize this kind of information
- Cross validation with Training/Testing sets
- Why is Bayesian filtering better than Neural Networks when classifying spam?
- Relational Fisher Kernel Implementation
- Machine learning algorithm for this task?