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Through Python 3.6 and scikit-learn, the model will predict the language of new data. Steps include data preprocessing, feature extraction, model training, and evaluation. Techniques like tokenization…
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### What is happening?
Since the release of the version Qiskit 1.2 the class `Sampler` is deprecated. With this choice we require that all implementations of the `BaseSamplerV1` interface have been d…
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I've seen the project, and it would be better if more evaluation metrics are added such as R-squared, Mean squared logarithmic error (MLSE) and coefficient of variation to evaluate the performance of …
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Some pages have correct titles:
- https://grand-challenge.org/challenges/ "Challenges - Grand Challenge".
- https://grand-challenge.org/reader-studies/ "Reader Studies - Grand Challenge"
But s…
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### Environment
- **Qiskit version**: 1.2.1
- **Python version**: 3.12.0
- **Operating system**: Ubuntu 22.04.4
### What is happening?
Since the release of the version Qiskit 1.2 the class `Sam…
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I've been having trouble distinguishing between the different evaluation methods used in the paper from last lecture: ICC, ARI, and AIC. Does anyone know of any resources that compare these methods (a…
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I propose adding an e-commerce sales prediction model to ML Nexus. This model will utilize historical sales data, marketing spend, customer behavior, and seasonal trends to forecast future sales. It w…
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Rules Engine uses CoR for sequential rules evaluation. It works! And for many situations, it's serves the need. However, for more ambitious applications, it would be nice to have other algorithms for …
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```
config = OptimizationConfig(
data=Dataset(
input_column=input_col, # Typical names are "SMILES" and "smiles".
response_column=value_col, # Often a specific name (like her…
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### Have you completed your first issue?
- [X] I have completed my first issue
### Guidelines
- [X] I have read the guidelines
- [ ] I have the link to my latest merged PR
### Latest Merged PR Lin…