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**Is your feature request related to a problem? Please describe.**
Related to 6708, 6054 and 6118
TSC/TSR GridSearch presently fails `test_multioutput` (`ValueError: Input y_pred contains NaN.`) a…
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In a common manner,it usually split the dataset to train/val/test three parts.
so if i want to use diffusiondet,should i merge the val and test images in one folder?
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### Description of feature
Hi,
A few thoughts after working with CREsted:
1. Would you consider a `genome` style class like snapatac2 for handling the reference files (fasta, chrom sizes, gtf, …
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I am trying to use tensorflow serving to serve a keras bert model, but I have problem to predict with rest api, below are informations. Can you please help me to resolve this problem.
# predict out…
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Develop a Python function that splits a dataset into training and testing sets without relying on any external libraries such as scikit-learn or NumPy.
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```
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
from typing import Any , Optional,List , Tuple
import matplotlib.pyplot as plt
from numpy.typing impor…
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Dear Siyuan,
In regards to the CAD-120 experimental results, previous works do a 4-fold cross-validation where one of the subjects is left out for testing whilst the other three are used for traini…
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Current version of predict function creates overlapping batch 1st element' indexes for train and test X and y_history tensors. Last item from X in train is first item in X in test. And due to mentione…
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I use the exact same data, y has 2 classes, the output of **lightGBM and RF** are **lists**, and the list contains a two-dimensional matrix with the same dimension as the data, but the output of **xgb…
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Making this into a general issue / discussion of how to improve these functions.
Will collect thoughts + ideas from other issues here (to close those and consolidate).