4 releases (breaking)
0.7.0 | Aug 17, 2021 |
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0.6.0 | Jul 19, 2021 |
0.5.0 | Jul 2, 2021 |
0.4.0 | Jun 25, 2021 |
#583 in Machine learning
28 downloads per month
Used in 3 crates
(2 directly)
340KB
7.5K
SLoC
Tangram Linear
This crate implements linear machine learning models for regression and classification. There are three model types, Regressor
, BinaryClassifier
, and MulticlassClassifier
. BinaryClassifier
uses the sigmoid activation function, and MulticlassClassifier
trains n_classes
linear models whose outputs are combined with the softmax
function.
To make training faster on multicore processors, we allow simultaneous read/write access to the model parameters from multiple threads. This means each thread will be reading weights partially updated by other threads and the weights it writes may be clobbered by other threads. This makes training nondeterministic, but in practice we observe little variation in the outcome, because there is feedback control: the change in loss is monitored after each epoch, and training terminates when the loss has stabilized.
Dependencies
~12MB
~226K SLoC