caffe2op-accuracy
| Crates.io | caffe2op-accuracy |
| lib.rs | caffe2op-accuracy |
| version | 0.1.5-alpha.0 |
| source | src |
| created_at | 2023-03-02 03:07:43.695715 |
| updated_at | 2023-03-25 12:06:50.096222 |
| description | xxx |
| homepage | |
| repository | https://github.com/kleb6/caffe2-rs |
| max_upload_size | |
| id | 798581 |
| size | 75,699 |
(klebs6)
documentation
README
caffe2op-accuracy is a Rust crate that defines an operator used for evaluating the accuracy of machine learning models. This operator computes the accuracy score of the predictions made by a model given a set of true labels.
Note: This crate is currently being translated from C++ to Rust, and some function bodies may still be in the process of translation.
This crate compares the predicted values with the true label data and to compute an accuracy score based on this comparison. Specifically, it uses the argmax function to identify the predicted label for each input, and compares it with the true label data to compute a score.
The crate also includes other symbols related to managing the inputs and outputs of the operator, such as slots and scoring.