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1. Classification of junction types
I feel like Classification C is more reasonable and simpler than Classification E. In Classification E, the criterion of 'Roads connected to junctions have acciden…
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There is an issue on chapter 18, in the following paragraph
The only problem is that prediction is not particularly useful here. Ultimately, we want to know when we can increase prices and when we ca…
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I have download model from model zoo.
VGG-16 Global Pooling, VGG-16 Landmark Pooling, ResNet-50 Global Pooling
I put them to path checkpoint with name: vgg16_global_latest.pth, vgg16_landmark_latest…
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I'm trying to test the predict function but it raises the following error:
`AttributeError: 'RandomForestRegressor' object has no attribute 'n_outputs_'`.
Yet it seems that actually it has when…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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### Describe the issue linked to the documentation
This issue concerns:
* [sklearn.ensemble.RandomForestClassifier](https://scikit-learn.org/dev/modules/generated/sklearn.ensemble.RandomForestClassi…
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> Please provide us with the following information:
> ---------------------------------------------------------------
### This issue is for a:
```
- [X ] bug report -> please search issues be…
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### **Issue Description**
Pyspark DecisionTreeRegressionModel loses values in attributes after packaging and loading them.
### **Minimal Reproducible Example**
mleap version: 0.23.1
pyspark ve…
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I am getting error while training:
`plt.Train()`
AttributeError: 'tensorflow.python.framework.ops.EagerTensor' object has no attribute 'assign'
on dataset:
[Wheat Prediction Dataset](https://…
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I have successfully created yolov10 training data using the latest ultralytics in a google colaboratory environment.
```
from google.colab import drive
drive.mount('/content/drive')
%cd ./drive/…