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Unfortunately, this is another one that is hard to offer an MWE for due to the model complexity, but I've found that get_index is producing NAs for the index and its SD when the prediction grid/predic…
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### Feature description
Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regr…
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**Description:**
Hello, I am new on deepchem and deeplearning.
I would like to understand something, I train a model from the membrane_permeability example, for this dataset we load the sdf data and…
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## Title
Add "Predict Ovulation" Option to Settings
## Description
We need to add a new option in the app's settings that allows users to choose whether they want the app to predict ovulations. T…
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您好，我运行了您的代码，获得的预测结果有两列，其中有一列有正有负，这里预测的结果具体是什么（风险值,还是生存时间）？我该怎么根据这个绘制KM曲线？Hello, I ran your code and got two columns of prediction results, one of which is positive and negative, what exactly is the pr…
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when having multiple predictions; it can be good to have an indications how 'stable' the predicted result is. This can be done by adding a value on stability of the geometry based on the flatness of t…
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This issue is to implement the Naive Bayes algorithm in Python. The algorithm will be used to predict the probability of an event based on prior knowledge of conditions that might be related to the ev…
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Thank you for all this work!
In the book, Chapter 12, page 209, where a "Hierarchical self-Attention Network" (HAN) model was introduced to handle heterogeneous graphs, the reference [5] (J. Liu, …
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AI-Based Stock Predictor
**Overview**
The AI-Based Stock Predictor uses machine learning to forecast stock prices based on historical data. This project leverages advanced algorithms to analyze past…
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get_prediction outside tsa
current:
- OLS, linear_model: linear prediction with confidence and prediction interval
- code in `regression._prediction`
- GLM linear prediction and link.invers…