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I would like add a model named Diabetes prediction model using svm. it will take few parameters such as Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age and bas…
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I have a simple struct for setting some params and creating an SVR model
```
use linfa::prelude::*;
use linfa_svm::{Svm, SvmParams};
use ndarray::Array;
struct SVRModel {
params: SvmParams…
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Choose a dataset of personal interest and implement an SVM model.
Tasks:
- [ ] Select a relevant dataset.
- [ ] Prepare the data for the model.
- [ ] Implement an SVM classification or regressio…
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您好! 我事先把brisque_svm_weights.pth文件下载到本地,然后想初始化时从本地加载brisque_svm_weights.pth,基本代码逻辑如下:
device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
model_BRISQUE = pyiqa.create_…
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**Is your feature request related to a problem? Please describe.**
Predicting college placements accurately is challenging due to:
- **Variety of Influencing Factors**: Academic scores, previous e…
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SVM(Multi) calculation consumes memory and time, so I want to save the model calculation data for subsequent calls, but it seems that SVM does not support the serde feature. How should I save the SVM …
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I think we should allow for an API like ```CPI(score_method='predict_proba')``` and add support for e.g. ```CPI(score_method='decision_function')``` to support non-probabilistic models, e.g. SVM or Ri…
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is it possible to release the SVM model for image classification?
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## Project Request
To use SVM to build and train a model using cell records, and classify cells are benign (mild state) or malignant (evil state).
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| Field | Description …
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The Caret package has been showing an error message when I try to get the importance of variables using the svmRadial model for the diabetes dataset. The error message displayed is: "invalid type (lis…