Comments (4)
I just pushed a new commit with which you can enable serde support for almost all algorithms. In order to use SVM with serde support, add this to your Cargo.toml
:
linfa-svm = { git = "https://github.com/rust-ml/linfa.git", features = ["serde"], default-features = false }
Once the a new version is published on crates.io
I will notify you here. By the way, there is no "sane" support for prediction in DBSCAN. (see for example here), so you have to predict your clusters each time anew.
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oh and if you don't know about serde
, two popular serialization backends are
- bincode for binary encoding
- serde-json for readable JSON encoding
you have to add them before serialization into a string/byte buffer, but there are plenty of examples on the websites
from linfa.
there is no API for this yet, but it can be achieved with some special code. What algorithm do you want to export and load?
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I want to export and load kmeans and dbscan. Later eventually also svm
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Related Issues (20)
- Let linfa_linear::LinearRegression support weights from a dataset
- MultiLogisticRegression panics on normalized data.
- umap for dimension reduction HOT 1
- DBSCAN returns core samples HOT 1
- How to do clustering grid search with multiple CPUs / GPUs? HOT 2
- how to save svm model data and resuse it ?
- linfa_bayes show error: records not in row-major layout HOT 1
- get the score from logistic regression prediction
- the order of classification HOT 1
- .
- what is the difference between these libarary and pure rust? HOT 1
- gradient tolerance and alpha
- get loss for each iteration
- linfa_bayes::MultinomialNb,when use predict(), program paniced!
- MeanShift: potential contribution HOT 2
- Support streaming/incremental fitting
- Fix ci HOT 1
- linfa-reduction-0.7.0 Pca<f64> without the method of 'components' and 'mean'
- Intel MKL BLAS backend download error: `linfa` release required
- rust-analyzer does not recognize linfa types
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