models.py ├── README.md ├── requirements.txt ├── saved │ ├── diff │ ├── log │ └── models ├── text_classification ├── trainer │ ├── cnews_trainer.py │ ├── __init__.py │ ├── medical_question_trainer.py │ └── weibo_trainer.py ├── ...
Models were run for males and females separately. Treatment outcome was assessed using the pre- and post-assessment raw scores on the aggressive, rule-breaking, total externalizing, and total internalizing subscales of the CBCL. These analyses were run in SPSS 24 for each class identified in ...
I have never touched image classification before in any class or personal project, so I had to start from scratch in terms of learning how this is done. Additionally, this is my first time using Keras pre-trained models for transfer learning, and I am incredibly impressed at how simple the...
After all, we train models so that they can be used on new data we find in the real world. So, after we have trained a classification model, we'll evaluate how it performs on a set of new, unseen data.In the previous units, we created a model that would predict whether a...
The taxonomy of free-living adults and heteromorphic parasitic larvae of Parasitengona mites has in the past been treated independently resulting in a doub
caret is a wonderful R package that includesmanydifferent kinds of statistical models and procedures. Decision trees are implemented using the rpart package, so the results will be similar, but caret makes it a bit easier to search a grid of options to determine the best tree. ...
In our previous work, by combining BERT with other models, a feature-enhanced Chinese short text classification model was proposed based on a non-equilibrium bidirectional Long Short-Term Memory network2. However, the pre-training model has limitations in terms of the length of the input sample....
Sex determination of adult black terns by DNA and morphometrics: Tests of sample size, temporal stability and geographic specificity in the classification accuracy of discriminant function models. 来自 掌桥科研 喜欢 0 阅读量: 326 作者:DA Shealer,CM Cleary ...
We compare the method proposed in this experiment with state-of-the-art classification models in the other literature to evaluate it better. This section presents a comparative analysis of only the relevant literature on classification model experiments using the Microsoft dataset. The final results ar...
Users can specify different DCM subtypes, define prior distributions, and estimate the model using the rstan or cmdstanr interface to Stan. You can then easily examine model parameters, calculate model fit metrics, compare competing models, and evaluate the reliability of the attributes. Installation...