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Hi,
Can one easily retrieve outputs from the regression, classification and masks submodel ?
The following trick cannot work because of the submodel embedding in a keras.Models object for each of …
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### Description
With v1.4.1 the `RelationalInstanceIterator` was introduced. A proper example of its usage in the documentation is missing.
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Hi,
I see that the model is not learning on my dataset. The loss is stuck at these values from start till end.
Help please.
1000/1000 [==============================] - 202s 202ms/step - loss: 2.7…
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Hi,
i think it would make sense to ask in the Dataset()-function if the target variable is factorial or not and then assign depending on this class "DatasetClassification" or "DatasetRegression". W…
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Classify each pixel as the output for if there is a cloud, or type of cloud with the #3 instead of regression. Attempting to predict all 12 spectral channels as the next images is probably too complic…
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## Original Task
Citing from the original course task:
> Training a strong Hebrew Sentence Encoder from a pretrained Decoder While recent years
have brought many additions to the open-source set …
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#12
分类模型和回归模型本质一样，分类模型是将回归模型的输出离散化。
- 定量输出称为回归，或者说是连续变量预测；
- 定性输出称为分类，或者说是离散变量预测。
# Reference
- [ ] [机器学习中的回归(regression)与分类(classification)问题](https://blog.csdn.net/wspba/article/details/61…
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This has to be treated differently for regression and classification but is very similar to the `predictive(..)` currently implemented. Basically `laplace.thompson_sample(x, n_samples=1)` should retur…
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Classification and Regression tasks feature estimation procedures: (ordered) holdout, r-repeated k-fold cross-validation and test on training data. Currently the split files are organized as following…
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In the paper, you said that you first pre-train the baseline model with classification loss, regression loss, and adversarial loss (step 2 in the repo). And your model is based on the pretrained Regio…